| 2026-07-17 09:08 |
Last week, I had the opportunity to share about my personal AI agents built with |
Lightweight agent frameworks like OpenClaw can run document-retrieval workflows to automatically distribute resources like presentation slide decks to chat users. |
We will build an OpenClaw-based agent connected to a Telegram interface that listens for resource requests (e.g., 'send me the slides') and retrieves the correct file from a Google Drive folder. We will create a before-and-after comparison contrasting the manual effort of message-by-message follow-ups against the agent instantly serving the files in real time. |
before_after_comparison |
moderate |
Requires deploying OpenClaw, linking a Google Drive API with read permissions, and configuring the Telegram webhook, taking roughly 3 hours. |
new |
| 2026-07-17 09:08 |
Last week, I had the opportunity to share about my personal AI agents built with |
Non-technical builders can deploy a multi-agent Telegram assistant using NanoClaw and Claude to handle real-world scheduling workflows like coffee-chat bookings. |
We will build a prototype scheduling bot using NanoClaw and Claude connected to a Google Calendar API. We will record a walkthrough showing how we structure the agent architecture with Claude's assistance, deploy it using NanoClaw, and film a live screen recording of a user successfully booking a calendar slot directly inside the Telegram chat. |
live_workflow_walkthrough |
moderate |
Requires setting up a Telegram Bot token, configuring NanoClaw, and integrating the Google Calendar API, taking about 3-4 hours of configuration and testing. |
new |
| 2026-07-17 09:08 |
How the top 1% of SEO founders are doing AI SEO.
Workflows, agents, shortcuts, |
Moving from manual prompt-and-paste SEO audits to automated multi-agent workflows that run programmatic site checks. |
We will build an automated workflow in Make.com that triggers when a new URL is published, crawls the page using an Apify scraping agent, evaluates the HTML against a target keyword list using GPT-4o, and automatically pushes structured optimization tickets directly to a Slack channel. We will record a walkthrough of this live agent pipeline executing end-to-end. |
live_workflow_walkthrough |
substantial |
Requires configuring a multi-step Make.com scenario, integrating Apify, setting up OpenAI API assistants, and building the Slack notification payload. |
new |
| 2026-07-17 09:08 |
How the top 1% of SEO founders are doing AI SEO.
Workflows, agents, shortcuts, |
Implementing a structured 'site rulebook' to guide AI content generation rather than relying on generic, single-prompt URL analysis. |
We will build a structured JSON-based 'Site Rulebook' defining exact brand voice parameters, keyword mapping, and internal linking constraints for a mock SaaS brand. We will then run two content generation tests—one using Claude 3.5 Sonnet guided by this rulebook, and one using a standard ChatGPT prompt with just a URL—and compare the alignment and SEO-readiness of the output drafts. |
before_after_comparison |
moderate |
Requires drafting a structured JSON rulebook schema, running two API-based generation tests, and formatting the output comparison. |
new |
| 2026-07-17 09:08 |
הייתי בטוח שפיצחתי את השיטה. (ספוילר: לא פיצחתי כלום).
בניתי מטריצה שלמה. צבא קט |
Standard AI agent simulations lack peer-influence dynamics, resulting in polite, linear discussions where agents never change their minds or succumb to group pressure. |
We will build a multi-agent debate simulation in LangGraph where each agent is assigned a dynamic 'conviction score' (1-10) in their state. We will run a comparative test on a new product positioning angle, showing a side-by-side run of a standard agent group (which remains stagnant) versus our dynamic group, where a highly confident agent successfully persuades others to update their conviction scores and change their initial stance. |
before_after_comparison |
moderate |
Requires setting up a custom LangGraph state machine with 3-4 agents, tracking their internal conviction variables, and logging the output JSON. |
new |
| 2026-07-17 09:08 |
הייתי בטוח שפיצחתי את השיטה. (ספוילר: לא פיצחתי כלום).
בניתי מטריצה שלמה. צבא קט |
Simulating chaotic, non-linear human focus groups requires agents to have explicit persuasion thresholds and social susceptibility parameters rather than just static system prompts. |
We will build a Streamlit dashboard that visualizes a synthetic focus group discussing a controversial ad creative in real-time. The screen recording will show a live line chart tracking the 'group consensus index' as a simulated skeptic agent's defense breaks down under the influence of two enthusiast agents. |
screen_recording |
substantial |
Requires building a Streamlit frontend, integrating it with an asynchronous OpenAI assistant thread, and mapping real-time sentiment analysis to a chart. |
new |
| 2026-07-17 09:08 |
מהיום אפשר להריץ את Claude ישירות בתוך Azure
ההכרזה יצאה היום ביחד עם Microsoft |
Native support for Claude's advanced features like prompt caching and extended thinking directly within the Azure-integrated environment. |
We will write a comparative test script that feeds a massive 50,000-token marketing brand guideline document into Claude Opus 4.8 on Azure, comparing the processing speed (latency) and token billing metrics with prompt caching turned on versus turned off. |
before_after_comparison |
moderate |
Requires access to Azure's Claude API, a Python script to measure execution times, and a structured mock dataset of 50k tokens. |
new |
| 2026-07-17 09:08 |
מהיום אפשר להריץ את Claude ישירות בתוך Azure
ההכרזה יצאה היום ביחד עם Microsoft |
Running Anthropic's Claude (Opus 4.8 and Haiku 4.5) directly within Azure via Microsoft Foundry using the Messages API, allowing enterprise clients to offset costs using existing Azure Enterprise Agreements. |
We will build a multi-agent content generation workflow using Microsoft AutoGen, configure it to call Claude Haiku 4.5 via the Azure Microsoft Foundry endpoint, and show a live walkthrough of the Azure portal configuration, the API connection string, and the unified billing dashboard tracking the resource spend. |
live_workflow_walkthrough |
substantial |
Requires active Azure subscription with Microsoft Foundry access, deploying the Claude endpoints, and building a multi-agent Python orchestration script. |
new |
| 2026-07-17 09:08 |
באמצע יום שלישי חפרתי לצ'אטבוט AI עד שהשרת שלו כמעט קרס.
שילמתי 97 שקל למנוי. לפ |
To protect profitability from heavy users, AI agent architectures must implement active cost-guardrails rather than relying on retrospective audits. |
Build a Python-based middleware router for our AI agents that monitors a client's cumulative monthly spend and dynamically downgrades the LLM engine (e.g., from GPT-4o to GPT-4o-mini) or throttles usage once they cross a specific cost threshold, showing the code and a screen recording of the threshold trigger in action. |
screen_recording |
substantial |
Requires writing custom routing logic in Python, integrating a database to store running token tallies, and recording the system switching models mid-run. |
new |
| 2026-07-17 09:08 |
באמצע יום שלישי חפרתי לצ'אטבוט AI עד שהשרת שלו כמעט קרס.
שילמתי 97 שקל למנוי. לפ |
Flat-rate pricing for AI agents is highly vulnerable to 'heavy users' whose excessive token consumption quietly destroys margins under the guise of 'average' usage metrics. |
Build a live resource-tracking dashboard using Langfuse and Looker Studio that monitors API token costs per client in real-time, then run a simulation showing how a single high-volume agent run spikes costs and drops a simulated client's margin below profitability. |
live_workflow_walkthrough |
moderate |
Requires setting up Langfuse tracing on a test AI agent, connecting it to Looker Studio, and simulating a high-volume run to capture the data. |
new |
| 2026-07-17 09:08 |
אחרי שלושה שבועות של השבתה, Fable 5 חוזר מהיום לכל העולם.
נחזור רגע אחורה. ב-12 |
Fable 5's access model within paid plans is capped at half the weekly quota until the 7th of the month before transitioning to credits. |
We will write a Python monitoring script that connects to the Anthropic API, tracks token consumption specifically for Fable 5 runs, and triggers a Slack alert when our team reaches 45% of the weekly quota to manage the transition to credit-based billing. |
screen_recording |
quick |
Requires writing a short Python script to fetch Anthropic API usage data and testing the Slack webhook integration. |
new |
| 2026-07-17 09:08 |
אחרי שלושה שבועות של השבתה, Fable 5 חוזר מהיום לכל העולם.
נחזור רגע אחורה. ב-12 |
Fable 5 is back online in Claude Code with a new security layer designed to block code-exploit vulnerabilities in over 99% of cases. |
We will set up a testing environment using Claude Code powered by the restored Fable 5 model, feed it a mock application containing a known security vulnerability, and document whether it successfully generates a secure patch while safely blocking requests to write an exploit payload. |
live_workflow_walkthrough |
moderate |
Requires setting up Claude Code, creating a mock vulnerable script, and running test prompts to observe the security guardrails in real-time. |
new |
| 2026-07-17 09:08 |
https://www.instagram.com/reel/DaDTcINOr8l/?utm_source=ig_web_copy_link&igsh=NTc |
Using Atoms.dev and Claude to convert video outputs into an interactive 3D scroll-mapped website experience with mouse tracking. |
We will build a functional prototype of a luxury landing page using Atoms.dev. We will use Claude to generate the custom JavaScript that maps the Seedance-generated fly-through video's playback to the user's scroll position and implements a subtle mouse-tracking 3D tilt effect on the hero section, capturing the entire build process and the final live interaction. |
live_workflow_walkthrough |
substantial |
Requires accounts on Atoms.dev and Claude, writing and debugging scroll-bound video playback code, and recording a live screen walkthrough of the interactive site. |
new |
| 2026-07-17 09:08 |
https://www.instagram.com/reel/DaDTcINOr8l/?utm_source=ig_web_copy_link&igsh=NTc |
Generating cinematic luxury fly-through videos from static real estate images using Seedance 2. |
We will take a single, high-quality static photo of a modern luxury living room, feed it into Seedance 2, and apply camera-path prompts to generate a 4-second cinematic fly-through video. We will display the original static photo side-by-side with the rendered video output to showcase the depth and motion quality generated from a single image. |
before_after_comparison |
moderate |
Requires setting up a Seedance 2 account, generating several camera-path variations, and editing the side-by-side comparison video. |
new |
| 2026-07-17 09:08 |
https://www.instagram.com/reel/DaxBBOYgqxl/?utm_source=ig_web_copy_link&igsh=NTc |
Combining a high-fidelity image generator with Luma's 'Skills' feature to animate static assets into realistic product commercials. |
We will design a workflow where we generate a static, hyper-realistic luxury cosmetic bottle in Midjourney, then import it into Luma Dream Machine. We will apply a custom-built '360-degree orbital sweep' Skill to animate the bottle, and walk through the exact prompt logic and settings required to get a seamless, production-ready video ad. |
live_workflow_walkthrough |
moderate |
Requires active Midjourney and Luma Dream Machine accounts, setting up the image-to-video pipeline, and recording the screen during the configuration. |
new |
| 2026-07-17 09:08 |
https://www.instagram.com/reel/DaxBBOYgqxl/?utm_source=ig_web_copy_link&igsh=NTc |
Luma Labs' 'Skills' feature allows creators to define custom instructions and presets to steer camera movements and styles in video generation while maintaining aesthetic realism. |
We will build a custom 'Macro Cinematic' Skill in Luma Dream Machine designed for high-end product shots. We will run identical prompts—one using the default Luma generation and one using our custom Skill—and display them side-by-side to show how the custom Skill enforces precise camera control without losing visual fidelity. |
before_after_comparison |
moderate |
Requires access to Luma Dream Machine's custom configuration tools, drafting specific steering prompts, and rendering several comparison video pairs. |
new |
| 2026-07-17 09:08 |
https://www.linkedin.com/posts/andrey-soloviev_the-ai-search-seo-guide-to-claude |
Measuring brand visibility and 'Share of Voice' within Claude's search engine integrations relative to competitors. |
We will build a Python automation script that runs a batch of 50 industry-specific search queries through Claude's web-search-enabled model, parses the citations, and generates a visual dashboard showing which brands dominate Claude's recommendations. We will record a walkthrough of the script running and the resulting dashboard to prove how brands can audit their AI search footprint. |
live_workflow_walkthrough |
substantial |
Requires writing a custom Python parsing script, integrating with an LLM API that supports web search, and building a simple Streamlit dashboard. |
new |
| 2026-07-17 09:08 |
https://www.linkedin.com/posts/andrey-soloviev_the-ai-search-seo-guide-to-claude |
Optimizing web content structure specifically to trigger citations and recommendations in Claude's search-enabled LLM responses. |
We will build two versions of an informational service page—one optimized with traditional keyword SEO, and the other structured with Claude-friendly formatting (direct markdown headers, XML-style concept blocks, and explicit Q&A schemas). We will then run live API queries using Claude 3.5 Sonnet with web search enabled to compare which page version is prioritized for citations and show the comparison of retrieval success. |
before_after_comparison |
moderate |
Requires deploying two test URLs, ensuring they are indexed by search engines, and running comparative API queries to document Claude's citation behavior. |
new |
| 2026-07-17 09:07 |
https://www.instagram.com/p/Daz7gnPgtwI/?utm_source=ig_web_copy_link&igsh=NTc4MT |
The comment-to-DM organic lead generation mechanism ('Comment Work to get the guide') to automate resource delivery and boost social engagement. |
We will set up a live ManyChat automation flow triggered by the keyword 'Work' on an Instagram post, showing a split-screen screen recording of the backend configuration workflow alongside a real-time mobile screen recording of a user commenting and instantly receiving the automated DM. |
screen_recording |
quick |
Requires an active Instagram Professional account connected to a ManyChat free/pro plan to configure the single-keyword automation rule and test it with a dummy account. |
new |
| 2026-07-17 09:07 |
https://www.instagram.com/p/Daz7gnPgtwI/?utm_source=ig_web_copy_link&igsh=NTc4MT |
Building functional web tools and interactive interfaces directly inside ChatGPT's workspace using features like Canvas and code execution. |
We will build a custom interactive 'Lead Score Calculator' tool entirely within ChatGPT's Canvas workspace, showing the exact prompting sequence used to generate the functional HTML/JS, and then load the finished code into a live browser to show it calculating scores in real time. |
live_workflow_walkthrough |
moderate |
Requires drafting the prompt sequence in ChatGPT Plus to generate clean code and deploying the raw code to a quick staging environment like Netlify or CodePen for the live demonstration. |
new |
| 2026-07-17 09:07 |
https://www.linkedin.com/posts/amitshafnir_%D7%9E%D7%99%D7%A9%D7%94%D7%95-%D7%A0 |
Extracting structured asset inventories and product catalogs directly from raw, unstructured lifestyle photo galleries using vision models. |
We will build a workflow using Make.com, GPT-4o, and Airtable that ingests a folder of raw lifestyle images, automatically detects and crops individual fashion/product items, categorizes them (e.g., shirts, shoes, accessories), and populates a structured database with tags. We will show a before/after comparison of the chaotic raw image folder versus the cleanly organized, searchable Airtable catalog. |
before_after_comparison |
moderate |
Requires setting up a Make.com scenario connecting Google Drive, OpenAI's GPT-4o API, and Airtable, taking about 3 hours to configure and test. |
new |
| 2026-07-17 09:07 |
https://www.linkedin.com/posts/amitshafnir_%D7%9E%D7%99%D7%A9%D7%94%D7%95-%D7%A0 |
Generating highly personalized visual marketing assets by mapping extracted inventory items back onto a user's likeness using virtual try-on models. |
We will design a pipeline using Replicate's API (utilizing a virtual try-on model like IDM-VTON) to take a portrait photo of a user and overlay an extracted clothing item from their catalog, rendering a realistic new lifestyle image. We will record a screen walkthrough showing the API call, the input parameters (user photo + clothing item), and the final generated output of the user 'wearing' the item. |
screen_recording |
substantial |
Requires setting up a custom script or workflow utilizing specialized diffusion-based try-on models on Replicate, taking 1 to 2 days of testing to ensure clean visual outputs. |
new |
| 2026-07-17 09:07 |
I tested every AI tool a solo founder/marketer might need. Here's the $60/month |
Using self-hosted n8n to achieve unlimited free automation executions, bypassing the scaling costs of subscription services like Zapier or Make. |
We will deploy n8n on a self-hosted cloud instance and build a marketing automation workflow that ingests social feeds, analyzes them with Claude's API, and updates Google Sheets. We will document the setup process and present a cost-benefit calculation comparing n8n's flat hosting fee against Zapier's pricing tier for 50,000 monthly tasks. |
live_workflow_walkthrough |
moderate |
Requires spinning up a cloud VPS, installing n8n via Docker, configuring API credentials, and building the multi-step test workflow. |
new |
| 2026-07-17 09:07 |
I tested every AI tool a solo founder/marketer might need. Here's the $60/month |
Utilizing Hermes Agent as a secure, container-hardened, open-source agentic tool to safely execute local code and file operations without exposing the host system to CVE vulnerabilities. |
We will draft a deployment plan to install Hermes Agent in a sandboxed Docker container, run a file-processing agent task, and explicitly show how the container configuration blocks unauthorized shell commands from escaping to the host machine. This will demonstrate secure local execution of AI-generated scripts. |
screen_recording |
substantial |
Requires installing Hermes Agent, configuring Docker security policies, writing a test agent command, and recording the execution and containment behavior. |
new |
| 2026-07-17 09:07 |
I cleaned up my Claude projects this week.
Buried in one folder were dozens of |
Implementing a self-optimizing 'Prompt Refiner' skill that analyzes a mediocre marketing output, identifies missing context, and automatically rewrites the prompt for a 10x better result. |
We will run a basic LinkedIn hook generation prompt, pass its output through the Prompt Refiner skill to extract missing variables (stakes, specificity), and present a side-by-side comparison of the initial generic hooks versus the highly targeted hooks generated by the refined prompt. |
before_after_comparison |
quick |
Requires running two Claude prompt generations and formatting the resulting prompts and outputs into a clear comparative layout (approx. 1 hour). |
new |
| 2026-07-17 09:07 |
I cleaned up my Claude projects this week.
Buried in one folder were dozens of |
Converting repetitive manual marketing prompts (like ICP extraction and positioning audits) into permanent Claude Project 'Skills' with system-level instructions to eliminate copy-pasting. |
We will build a Claude Project pre-configured with custom 'Skills' for ICP extraction and positioning audits, upload a raw customer interview transcript and a competitor homepage, and record a screen walkthrough showing Claude instantly producing structured marketing assets without any manual prompting. |
screen_recording |
moderate |
Requires setting up a Claude Project, writing two system instructions, preparing real sample assets, and recording the execution (approx. 2 hours). |
new |
| 2026-07-17 09:07 |
Your ad account is leaking money in places you never check. I built 15 free Clau |
An automated Google Ads negative keyword miner and search terms analyzer designed to identify wasted spend and recommend bid optimizations. |
We will build a Make.com automation that connects a Google Sheet containing raw search term data to the Anthropic API. We will run an anonymized search term report through this flow to showcase a before-and-after comparison of the chaotic raw search queries versus the clean, categorized negative keyword list generated by the AI. |
before_after_comparison |
moderate |
Requires building a Make.com scenario, setting up the Anthropic API connection, and structuring a template Google Sheet for the input/output data (takes ~2 hours). |
new |
| 2026-07-17 09:07 |
Your ad account is leaking money in places you never check. I built 15 free Clau |
A Meta Ads 'Andromeda Auditor' that analyzes Advantage+ campaign settings and automatically outputs structured creative briefs for designers based on performance gaps. |
We will build a specialized prompt in Claude that accepts screenshots of Meta Advantage+ campaign settings alongside ad creative performance metrics. We will record a screen recording showing the AI analyzing the inputs, identifying optimization mistakes, and generating a formatted markdown creative brief ready for a designer. |
screen_recording |
quick |
Requires drafting the system prompt, gathering a sample Meta Ads screenshot/performance metrics, and recording a brief video walkthrough of the execution (takes ~1 hour). |
new |
| 2026-07-17 09:07 |
Your ad account is leaking money in places you never check. I built 15 free Clau |
A modular Claude-based agent system that coordinates specialized ad-platform 'skills' (such as Google Performance Max auditing and Meta Andromeda auditing) to analyze performance and generate assets. |
We will build a prototype workspace in Claude Projects containing three core agent modules: a Google Search Terms Analyzer, a Meta Andromeda Auditor, and a B2B LinkedIn Copy Generator. We will feed it raw sample ad performance data and record a walkthrough showing how these distinct prompts interact to produce a cohesive cross-channel optimization report. |
live_workflow_walkthrough |
moderate |
Requires setting up a Claude Project, drafting three specialized system prompts based on the shared framework, and preparing mock ad performance data (takes ~3 hours). |
new |
| 2026-07-17 09:07 |
Your competitors are currently STEALING your leads...
(all because they own LLM |
AI tools shape the overarching industry category narratives and define market standards without direct input from brands that neglect LLM optimization. |
We will run a narrative alignment audit by querying Claude 3.5 Sonnet on emerging category definitions, map the LLM's synthesized narrative against our client's core messaging, and build an optimization plan targeting high-authority index sources (like Reddit and niche industry wikis) to force a narrative correction. |
before_after_comparison |
moderate |
Requires querying multiple frontier LLMs, mapping brand messaging docs, and about 3 hours of analysis to draft the narrative injection blueprint. |
new |
| 2026-07-17 09:07 |
Your competitors are currently STEALING your leads...
(all because they own LLM |
Competitors are securing high-intent leads by optimizing their brand footprint to be recommended as top-tier solutions by AI search engines like Perplexity and ChatGPT Search. |
We will build an automated LLM Share-of-Voice auditing agent using Python and the Perplexity API to query 50 industry-specific buyer intent prompts. The workflow will parse the responses to generate a comparative visualization showing how often our client is recommended versus their competitors, alongside the exact sources cited by the LLM. |
live_workflow_walkthrough |
moderate |
Requires Python scripting, Perplexity API access, and a structured query list, taking roughly 3 to 4 hours to build and run. |
new |
| 2026-07-17 09:05 |
אז Sonnet 5 בחוץ!
הביצועים שלו מתקרבים ל-Opus 4.8, המודל הגדול והיקר שלהם, אבל |
Sonnet 5 can execute complex, multi-step business workflows—such as updating customer tiers in Salesforce and sending launch notifications—without getting stuck midway. |
We plan to build a multi-step agent workflow connected to a Salesforce sandbox API and a Slack notification channel. We will run a side-by-side comparison showing how a previous generation model stalls during the API handoff versus Sonnet 5 autonomously updating the lead status and drafting/dispatching the launch notification in a single run. |
before_after_comparison |
substantial |
Requires setting up a Salesforce developer sandbox, API integrations, Slack webhook configuration, and running multiple test iterations to capture comparative failure/success states (approx. 1-2 days). |
new |
| 2026-07-17 09:05 |
אז Sonnet 5 בחוץ!
הביצועים שלו מתקרבים ל-Opus 4.8, המודל הגדול והיקר שלהם, אבל |
Sonnet 5's autonomous self-correction capability allows it to write tests to reproduce bugs, apply fixes, and run verification steps entirely on its own in a single pass. |
We will build a local development sandbox containing a broken Python data-processing script with a hidden edge-case bug. We plan to record a screen capture of Sonnet 5 using a terminal tool to write a failing unit test, modify the script to fix the bug, and re-run the test to verify execution success without human intervention. |
screen_recording |
moderate |
Requires setting up a sandboxed execution environment, writing a buggy sample script, and configuring the agent's tool-use permissions (approx. 3-4 hours). |
new |
| 2026-07-17 09:05 |
מריצים סוכנים על Vercel? היום הם יכולים כבר להתקשר אליכם!
וורסל הוסיפה תמיכה מל |
Vercel AI Gateway's unified routing, cost tracking, and budget controls for real-time voice streams without extra platform fees. |
Set up a voice stream through Vercel's AI Gateway and run a simulated customer support call using the browser playground. We will capture a screen recording of the Vercel dashboard displaying the real-time cost tracking, latency metrics, and budget limits applied specifically to that live gpt-realtime-2 audio session. |
screen_recording |
moderate |
Requires setting up a Vercel AI Gateway instance, configuring OpenAI API keys, and executing a test voice stream to generate dashboard metrics. |
new |
| 2026-07-17 09:05 |
מריצים סוכנים על Vercel? היום הם יכולים כבר להתקשר אליכם!
וורסל הוסיפה תמיכה מל |
Vercel AI SDK 7's secure real-time voice agent capability using server-side token generation to run OpenAI's gpt-realtime-2 with mid-call tool execution. |
Build a Next.js prototype using the `useRealtime` hook that generates short-lived session tokens server-side to protect the OpenAI API key. We will program a voice-activated marketing assistant that pauses mid-conversation to query a live mock CRM tool and verbally read back lead statuses, recording a live walk-through of the WebSocket connection and the voice interaction. |
live_workflow_walkthrough |
substantial |
Requires building a Next.js app with AI SDK 7, configuring OpenAI real-time API access, writing server-side token exchange logic, and implementing a mock CRM tool. |
new |
| 2026-07-17 09:05 |
𝐁𝐢𝐠 𝐀𝐧𝐧𝐨𝐮𝐧𝐜𝐞𝐦𝐞𝐧𝐭 🎉
Launching BuildWire.AI.
For 15+ years I ra |
Optimizing a brand's digital footprint so it is actively cited and recommended when buyers search on conversational AI engines like ChatGPT and Perplexity. |
Create a before-and-after comparison showing how a brand's visibility changes in Perplexity. We will query Perplexity on a specific B2B software category, document the initial citations, implement a structured schema and digital PR update on a test site, and then record the updated Perplexity query showing our brand now appearing in the cited sources. |
before_after_comparison |
substantial |
Requires deploying optimized site schema, indexing the test pages, waiting for LLM crawler cycles, and running comparative queries over 1-2 weeks. |
new |
| 2026-07-17 09:05 |
𝐁𝐢𝐠 𝐀𝐧𝐧𝐨𝐮𝐧𝐜𝐞𝐦𝐞𝐧𝐭 🎉
Launching BuildWire.AI.
For 15+ years I ra |
Autonomous marketing and content research pipelines built on n8n and Claude that run continuously without manual babysitting. |
Build an active n8n workflow that monitors industry RSS feeds, uses a Claude API agent to filter for trending topics, automatically drafts a newsletter section in a Google Doc, and pings a Slack channel for final approval. We will record a live workflow walkthrough of the canvas running in real-time to show how the logic steps execute. |
live_workflow_walkthrough |
moderate |
Requires setting up an n8n cloud account, configuring Claude API credentials, and mapping the data nodes to Google Docs and Slack (approx. 2-3 hours). |
new |
| 2026-07-17 09:05 |
עכשיו הסוכן שלכם יכול לקבל מייל, לקרוא אותו ולענות. לבד.
אג׳נטמייל (AgentMail) |
Real-time AI workflow activation triggered by incoming emails using Webhooks and WebSockets. |
We plan to build an automated pipeline where sending a raw customer query to the agent's new inbox instantly triggers a webhook, runs an LLM-based categorization chain, and posts the structured output to a Slack channel. We will record a screen share showing the exact latency from sending the email to the live Slack notification. |
screen_recording |
moderate |
Requires setting up a webhook receiver (using Make.com or a Next.js API route) and linking it to the AgentMail inbox. |
new |
| 2026-07-17 09:05 |
עכשיו הסוכן שלכם יכול לקבל מייל, לקרוא אותו ולענות. לבד.
אג׳נטמייל (AgentMail) |
Out-of-the-box email thread management and parsing of attachments for AI agent context. |
We plan to create a before-and-after comparison showing the complex, error-prone boilerplate code needed to parse IMAP email threads and extract PDF attachments versus the clean, pre-structured JSON payload delivered natively by AgentMail. |
before_after_comparison |
quick |
Requires comparing standard Node-IMAP parsing code side-by-side with AgentMail's API response documentation. |
new |
| 2026-07-17 09:05 |
עכשיו הסוכן שלכם יכול לקבל מייל, לקרוא אותו ולענות. לבד.
אג׳נטמייל (AgentMail) |
Instant provisioning of dedicated email inboxes and custom domains for AI agents directly via Vercel integration. |
We plan to build a project deployed on Vercel, run the 'vc i agentmail' command, and demonstrate a live walkthrough of provisioning a fully functional, dedicated agent inbox (e.g., agent@ourdomain.com) within minutes without manual SMTP/DNS configurations. |
live_workflow_walkthrough |
moderate |
Requires a Vercel account, a test domain, and configuring the AgentMail integration via CLI. |
new |
| 2026-07-17 09:05 |
Claude Sonnet 5 shipped this week. It's now the default model across Claude.ai, |
Native agentic planning and tool use capabilities that allow autonomous execution of complex, multi-step marketing tasks like competitor audits. |
We will build an autonomous research agent using Sonnet 5's tool-use API that takes a target competitor's homepage URL, plans its own navigation path, executes web-scraping calls to extract pricing and messaging, and compiles a structured competitive analysis report. |
screen_recording |
substantial |
Requires writing a Python script integrating Claude's tool-use API with a scraping/browser tool, debugging the agent's planning loops, and capturing the execution video. |
new |
| 2026-07-17 09:05 |
Claude Sonnet 5 shipped this week. It's now the default model across Claude.ai, |
Discounted $2 input / $10 output per million tokens pricing (through August 31), which shifts the economics of running high-volume manual QA workflows. |
We will build a batch-processing script that runs automated brand compliance QA on 100 mock display ads, tracking the exact token usage and API costs under Sonnet 5's promotional pricing, and present a cost-benefit spreadsheet comparing it to manual labor rates. |
before_after_comparison |
quick |
Requires writing a simple API batch script, generating mock ad text, and building a cost-comparison sheet based on the $2/$10 pricing. |
new |
| 2026-07-17 09:05 |
Claude Sonnet 5 shipped this week. It's now the default model across Claude.ai, |
Native 1M-token context window that enables processing entire brand guidelines, competitor research, and full campaign histories in a single session without chunking. |
We will build a workflow that ingests a massive 300-page brand repository (containing PDF brand guidelines, historical ad performance sheets, and competitor audits) into Claude Sonnet 5 and run a prompt to generate a new, fully aligned Q3 ad campaign strategy, showcasing how the model synthesizes all inputs without loss of context. |
live_workflow_walkthrough |
moderate |
Requires gathering ~300 pages of real brand/campaign documents, configuring the API connection, and recording the prompt execution and output quality. |
new |
| 2026-07-17 09:04 |
הבעיה עם הזיכרון של סוכני AI היא לא שהם שוכחים. היא שאתם צריכים להגיד להם מה לזכ |
Integrating directly with a local Git repository (Code Brain mode) to automatically analyze and document codebase structure, history, and coding conventions into Markdown files. |
Deploy OpenWiki Brains in Code Brain mode over a sample Python-based marketing automation repository. We will show a before-and-after comparison of the repository's documentation directory, contrasting the initial state with the automatically generated Markdown wiki mapping the repository's endpoints, utility scripts, and developer conventions. |
before_after_comparison |
moderate |
Requires cloning a sample Python repository, running the Code Brain agent locally on the codebase, and capturing the generated documentation structure. |
new |
| 2026-07-17 09:04 |
הבעיה עם הזיכרון של סוכני AI היא לא שהם שוכחים. היא שאתם צריכים להגיד להם מה לזכ |
Autonomously building a local, serverless Markdown-based wiki (Personal Brain mode) from personal sources like Gmail, Notion, and Git to maintain up-to-date AI context. |
Build a local OpenWiki Brains instance connected to a designated Google Workspace and Notion workspace containing mock client updates. We will run the agent to autonomously generate a local Markdown-based client profile wiki, then show a live walkthrough of how an AI marketing assistant uses this generated Markdown file as its system context to draft hyper-personalized client emails. |
live_workflow_walkthrough |
moderate |
Requires setting up the OpenWiki Brains repository locally, configuring Notion and Gmail API integrations, and recording the execution and resulting Markdown output. |
new |
| 2026-07-17 09:04 |
המשפחה של GPT-5.6 עם שלושת המודלים שלה, Sol ו-Terra ו-Luna, עולה לאוויר לכולם בי |
The Terra model provides balanced performance (roughly GPT-5.5 level) at half the price, optimized for cost-effective agent tasks. |
We will build a multi-agent lead-enrichment pipeline in LangGraph, run 500 leads through it using Terra, and show a cost-and-accuracy comparison dashboard comparing its performance and API spend against GPT-4o. |
before_after_comparison |
moderate |
Requires building the LangGraph pipeline, running a batch of 500 leads, and compiling the API token cost metrics. |
new |
| 2026-07-17 09:04 |
המשפחה של GPT-5.6 עם שלושת המודלים שלה, Sol ו-Terra ו-Luna, עולה לאוויר לכולם בי |
The Luna model is optimized for high-volume, low-latency, and cost-sensitive everyday tasks. |
We will build a real-time social listening agent in Make.com that monitors live RSS feeds, uses Luna to instantly summarize and categorize 100 incoming articles in parallel, and record a live execution to show the latency and total cost. |
live_workflow_walkthrough |
moderate |
Requires setting up the RSS trigger in Make.com, connecting the Luna API, and recording the execution speed metrics. |
new |
| 2026-07-17 09:04 |
המשפחה של GPT-5.6 עם שלושת המודלים שלה, Sol ו-Terra ו-Luna, עולה לאוויר לכולם בי |
The flagship Sol model is designed for complex research, coding, and cybersecurity tasks. |
We will build an automated vulnerability-patching agent using the Sol API to scan a complex, multi-file repository, identify security flaws, and write pull requests to fix them, comparing the success rate and code quality directly against Claude 3.5 Sonnet. |
before_after_comparison |
substantial |
Requires API access to the Sol model, setting up a target codebase with known vulnerabilities, and running comparative evaluations. |
new |
| 2026-07-17 09:04 |
Your AI writing sounds like everyone else's AI writing.
Not because your prompt |
Using the brand voice card as an automated, final-pass quality check to audit, score, and correct draft AI outputs. |
We will build a Make.com automation workflow that takes raw, drafted marketing copy, passes it to a secondary LLM step programmed with the brand voice card as an evaluator, and record a walkthrough of the system automatically flagging banned words and reformatting violations in real-time. |
live_workflow_walkthrough |
substantial |
Requires building a multi-step workflow in Make.com, connecting OpenAI or Anthropic APIs, creating a draft with intentional voice violations, and recording the execution of the automated audit. |
new |
| 2026-07-17 09:04 |
Your AI writing sounds like everyone else's AI writing.
Not because your prompt |
An 8-line brand voice card template that standardizes output style and tone consistently across multiple distinct LLMs instead of relying on complex, fluctuating prompt instructions. |
We will draft a standard 8-line brand voice card for a sample B2B brand, then run a standard newsletter prompt with and without the card across Claude 3.5 Sonnet, GPT-4o, and Gemini 1.5 Pro. We will present a side-by-side comparison of the outputs to visually demonstrate how the card eliminates generic AI-isms and maintains consistency across all three models. |
before_after_comparison |
moderate |
Requires drafting a sample 8-line voice card, running 6 prompt iterations across three LLM interfaces, and compiling the comparative text outputs into a side-by-side visual layout. |
new |
| 2026-07-17 09:04 |
LinkedIn started quietly cutting reach for AI comments in May. No warning, no no |
Halting automated front-facing LinkedIn activities (AI comments, DMs, and connection notes) to protect account distribution from quiet reach cuts by routing these tasks to manual human queues. |
We will build a hybrid prospecting pipeline in Clay where outbound leads are researched and personalized hooks are drafted by AI, but instead of auto-sending them via LinkedIn automation tools, the workflow pushes these drafts into a manual review queue in Slack. We will show a before-and-after comparison of a fully automated sequence setup versus this human-in-the-loop validation pipeline. |
before_after_comparison |
moderate |
Requires setting up a Clay table with AI enrichment and configuring a webhook to push manual action items to a Slack channel, taking roughly 2 hours. |
new |
| 2026-07-17 09:04 |
LinkedIn started quietly cutting reach for AI comments in May. No warning, no no |
Utilizing AI strictly for backend drafting tasks—such as converting raw voice notes into structured LinkedIn post drafts and planning carousel layouts—to keep front-facing interactions entirely human. |
We will build a Make.com scenario that takes raw mobile voice memos from a Google Drive folder, transcribes them using OpenAI's Whisper, and routes the transcript to Claude 3.5 Sonnet to output three distinct hook options and a slide-by-slide carousel layout. We will show a screen recording of the exact prompts used to preserve the speaker's natural voice and the final manual edits made to the draft. |
live_workflow_walkthrough |
moderate |
Requires configuring a Make.com scenario linking Google Drive, OpenAI Whisper, and Anthropic Claude APIs, taking about 2 hours to test and refine the translation prompts. |
new |
| 2026-07-17 09:04 |
The AI SEO Plugin is ready.
25 skills + a /bootstrap command to get your brand |
A `/bootstrap` command within the AI SEO plugin that automatically initiates brand optimization designed to get a brand recognized and ranked by major engines like ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews. |
We will download the free AI SEO plugin, execute the `/bootstrap` command targeting the Sibonix brand domain, and record a walkthrough of the exact optimization assets and markdown files it generates. We will then show how these generated files are structured to feed LLM crawlers. |
live_workflow_walkthrough |
moderate |
Requires downloading the plugin, setting up an environment to run the command on our domain, and recording the output files. |
new |
| 2026-07-17 09:04 |
The AI SEO Plugin is ready.
25 skills + a /bootstrap command to get your brand |
The tool's 25 built-in skills designed to solve the problem of LLMs like Claude failing to recognize or recommend your brand. |
We will run a series of baseline brand-awareness queries about Sibonix across Claude, Perplexity, and ChatGPT, document the gaps in their knowledge, apply the plugin's recommended schema and markdown optimizations to a test page, and then compare the LLMs' responses after prompting them with the newly optimized context. |
before_after_comparison |
moderate |
Requires running baseline queries, deploying the plugin's output to a live test URL, and using LLM reading tools to compare the before and after responses. |
new |
| 2026-07-17 09:04 |
OpenAI shipped 3 major releases in 48 hours.
Most feeds are covering them separ |
ChatGPT Work's agent mode that connects to local files and tools to output complete docs, sheets, and slides based on a visible plan. |
We will set up a live walkthrough where we feed ChatGPT Work a raw client brief and a campaign performance CSV, let it generate its multi-step plan, and record it outputting a formatted Google Slides presentation and budget sheet. |
live_workflow_walkthrough |
moderate |
Requires desktop access to ChatGPT Work, preparing a mock client dataset, and recording the end-to-end generation process. |
new |
| 2026-07-17 09:04 |
OpenAI shipped 3 major releases in 48 hours.
Most feeds are covering them separ |
GPT-Live's full-duplex voice architecture that listens and speaks simultaneously and hands off complex queries to a background frontier model. |
We will record a screen and audio session testing GPT-Live as a real-time campaign briefing assistant, where we intentionally interrupt its speech with complex marketing math to show how it pauses, processes the handoff, and resumes. |
screen_recording |
quick |
Requires mobile or desktop access to the GPT-Live voice interface and a pre-planned script of complex interruptions. |
new |
| 2026-07-17 09:04 |
OpenAI shipped 3 major releases in 48 hours.
Most feeds are covering them separ |
GPT-5.6's 'ultra' setting which runs four parallel agents on a single task to optimize cost-per-outcome. |
We will build a parallel marketing research workflow using the GPT-5.6 Luna model under the 'ultra' setting to analyze competitor ad strategies, running four agents simultaneously to compile a unified report, and compare its actual token cost and execution speed against our standard sequential GPT-4o agent workflow. |
before_after_comparison |
substantial |
Requires API access to the GPT-5.6 family, writing a parallel execution script, and setting up Helicone to track exact token spend. |
new |
| 2026-07-17 09:04 |
זהו, ChatGPT 5.6 יצא, והוא לא פחות גדול מ-Fable. אבל הרבה יותר זול.
המשפחה מגיע |
Native Multi-agent Responses API that splits parallel sub-agents from a single request and merges their outputs natively. |
We will build a multi-channel ad copy generator that simultaneously drafts LinkedIn, Twitter, and email copy. We will write a Python script using the new Responses API with the 'ultra' setting enabled, record a walkthrough of the single-payload request, and show how the parallel sub-agent outputs are compiled into a unified structured JSON output. |
live_workflow_walkthrough |
moderate |
Requires OpenAI API access to the new multi-agent Responses API, writing a script with structured output schemas, and capturing the console execution. |
new |
| 2026-07-17 09:04 |
זהו, ChatGPT 5.6 יצא, והוא לא פחות גדול מ-Fable. אבל הרבה יותר זול.
המשפחה מגיע |
Programmatic Tool Calling executing JavaScript in an isolated runtime to orchestrate tools and filter intermediate results without model roundtrips. |
We will build a competitor pricing scraper workflow that queries three search APIs and parses raw JSON. We will compare a traditional sequential tool-calling loop (sending every raw JSON payload back to the LLM) against a script using the new Programmatic Tool Calling API running JavaScript locally, highlighting the exact token savings and latency reduction. |
before_after_comparison |
moderate |
Requires setting up a Node.js test script using the new OpenAI 5.6 API to run both orchestration methods and logging the API token metrics. |
new |
| 2026-07-17 09:04 |
Most marketers pick one AI model and run everything through it.
That's quietly |
Gemini models excel specifically at complex data analysis and logical reasoning over multimodal inputs like PDFs and decks. |
We plan to build a script that feeds a complex multi-page PDF marketing report into Gemini and record a screen walkthrough demonstrating its data extraction accuracy and analytical reasoning compared to a standard creative model's output on the same file. |
screen_recording |
quick |
Requires a sample multi-page PDF report, access to Gemini and alternative model APIs, and a basic comparison prompt. |
new |
| 2026-07-17 09:04 |
Most marketers pick one AI model and run everything through it.
That's quietly |
Routing high-volume, routine tasks like bulk copywriting to lightweight, cheaper models maintains required quality while drastically reducing operational costs. |
We will build a batch processing script that takes a CSV of 200 product SKUs to generate descriptions. We plan to show a live dashboard walkthrough tracking the processing speed, total API cost, and output quality of a lightweight model versus a heavy frontier model. |
live_workflow_walkthrough |
moderate |
Requires writing a batch processing script, setting up a simple logging dashboard to track cost metrics, and preparing a sample CSV. |
new |
| 2026-07-17 09:04 |
Most marketers pick one AI model and run everything through it.
That's quietly |
Matching specific marketing tasks to specialized models (such as Claude for long-form brand voice) produces significantly better outputs than relying on a single default model. |
We will build an automated workflow in Make.com that takes a raw brand brief and routes it to Claude for long-form drafting. We plan to present a side-by-side comparison showing the resulting voice consistency and depth against the same brief run through a default generalist model. |
before_after_comparison |
moderate |
Requires setting up a Make.com scenario, API keys for both models, and a standard brand voice prompt template to run the test. |
new |
| 2026-07-17 09:04 |
https://www.instagram.com/p/DaydOp3jdX0/?utm_source=ig_web_copy_link&igsh=NTc4MT |
An automated 'AI Director' agent that translates creative concepts into structured image/video prompts, triggers external generation models, and organizes the resulting assets. |
We will build a Make.com integration that connects Claude to a Midjourney API (like GoAPI) and Google Drive. The plan is to feed the scenario a creative brief, watch the AI Director agent generate the exact prompt parameters, trigger the generation, and automatically save the final high-res images into a neatly named Google Drive folder. |
screen_recording |
substantial |
Requires setting up a Make.com workflow, integrating third-party AI image APIs, configuring Google Drive folder creation logic, and running end-to-end integration tests. |
new |
| 2026-07-17 09:04 |
https://www.instagram.com/p/DaydOp3jdX0/?utm_source=ig_web_copy_link&igsh=NTc4MT |
Multi-persona orchestration inside a single Claude Project where specialized roles (Strategist, Creative Director, Copywriter, Editor) sequentially build on each other's work using shared project memory. |
We will build a Claude Project pre-loaded with custom system instructions for all five personas (Strategist, Creative Director, Copywriter, AI Director, and Editor). We plan to run a live test starting with a raw trend input and record a step-by-step walkthrough showing how each persona inherits and refines the previous agent's output to produce a ready-to-publish asset. |
live_workflow_walkthrough |
moderate |
Requires drafting five distinct system prompts, configuring them inside a Claude Project, and executing a complete run-through to capture the screen recording. |
new |
| 2026-07-17 09:03 |
https://www.instagram.com/reel/Da0Mb0xOtuP/?utm_source=ig_web_copy_link&igsh=NTc |
Generating promotional ad videos directly inside the Claude chat interface using natural language prompts via the connected Runway tool. |
We will write a prompt in Claude for a 5-second cinematic product ad for a mock CPG brand, trigger the Runway MCP tool, and capture a screen recording of the video generating and rendering directly within the chat window. |
screen_recording |
moderate |
Requires an active Runway API/connector subscription and 1 hour to test prompts and record the real-time generation sequence. |
new |
| 2026-07-17 09:03 |
https://www.instagram.com/reel/Da0Mb0xOtuP/?utm_source=ig_web_copy_link&igsh=NTc |
Connecting Runway to Claude as a custom Model Context Protocol (MCP) connector to bring video generation directly into the chat interface. |
We will record a live workflow walkthrough configuring the custom Runway MCP connector inside Claude's settings, pasting the official Runway MCP URL, and completing the authentication handshake to show the active connection. |
live_workflow_walkthrough |
moderate |
Requires access to Claude's custom connector feature, a Runway account, and about 1-2 hours to configure and record the setup process. |
new |
| 2026-07-17 08:22 |
אז Sonnet 5 בחוץ!
הביצועים שלו מתקרבים ל-Opus 4.8, המודל הגדול והיקר שלהם, אבל |
Sonnet 5 features autonomous self-correction capabilities, enabling it to write tests to reproduce bugs, apply fixes, and verify the final outcomes independently. |
We will set up a codebase containing a specific, pre-determined bug and task Sonnet 5 with resolving it. We will record a screen share of the terminal showing the model writing a test to isolate the bug, applying the code fix, and running the test suite to confirm the error is fully resolved. |
screen_recording |
— |
|
new |
| 2026-07-17 08:22 |
אז Sonnet 5 בחוץ!
הביצועים שלו מתקרבים ל-Opus 4.8, המודל הגדול והיקר שלהם, אבל |
Sonnet 5 can autonomously execute multi-step business workflows, such as updating customer tiers in Salesforce and sending launch messages in a single, uninterrupted sequence. |
We will build an automation flow connecting Sonnet 5 to a Salesforce sandbox and a Slack workspace. We will film a walkthrough showing the agent receiving a customer upgrade trigger, updating the account tier in Salesforce, and drafting and sending the corresponding announcement message in Slack without any human intervention. |
live_workflow_walkthrough |
— |
|
new |
| 2026-07-17 08:22 |
LinkedIn started quietly cutting reach for AI comments in May. No warning, no no |
Using AI strictly for safe backend tasks, such as generating authentic first drafts of LinkedIn posts directly from a creator's raw voice notes. |
We will build an automation that takes a raw, unstructured audio voice note, transcribes it using the Whisper API, and passes it to Claude 3.5 Sonnet. We will show a screen recording of the exact system prompt used to extract high-impact hooks and format the transcription into a polished, human-sounding LinkedIn draft and carousel layout without losing the creator's unique voice. |
screen_recording |
— |
|
new |
| 2026-07-17 08:22 |
LinkedIn started quietly cutting reach for AI comments in May. No warning, no no |
LinkedIn quietly cuts account reach and distribution when detecting automated AI comments, DM replies, and templated connection notes. |
We will build a Make.com scenario that replaces fully automated LinkedIn outbound sequences with an approval-gated system. The workflow will pull incoming DMs via Phantombuster, feed them to Claude to draft a context-aware response, and send a Slack notification with 'Approve' and 'Edit' buttons so a human must manually copy and send the final message, keeping the account completely safe from algorithm flags. We will record a live walkthrough of this setup in action. |
live_workflow_walkthrough |
— |
|
new |
| 2026-07-17 08:21 |
הבעיה עם הזיכרון של סוכני AI היא לא שהם שוכחים. היא שאתם צריכים להגיד להם מה לזכ |
OpenWiki Brains features a Code Brain mode that runs inside a Git repository to autonomously document code structure, history, and developer conventions directly to local Markdown files. |
We plan to run Code Brain inside a test Git repository containing a custom Python marketing agent. We will showcase a before-and-after comparison of the repository, highlighting how Code Brain automatically generates a structured 'architecture.md' file documenting the codebase structure and past commit conventions. |
before_after_comparison |
— |
|
new |
| 2026-07-17 08:21 |
הבעיה עם הזיכרון של סוכני AI היא לא שהם שוכחים. היא שאתם צריכים להגיד להם מה לזכ |
LangChain's OpenWiki Brains uses Personal Brain mode to autonomously build and update local Markdown wikis from personal sources like Gmail and Notion based on a one-time focus instruction. |
We plan to configure OpenWiki Brains locally, pointing it to a test Gmail inbox and a Notion database containing mock client feedback. We will record a walkthrough showing the agent parsing these sources and autonomously updating a centralized 'client_profile.md' file with key project milestones and communication preferences without any manual data entry. |
live_workflow_walkthrough |
— |
|
new |
| 2026-07-17 08:21 |
𝐁𝐢𝐠 𝐀𝐧𝐧𝐨𝐮𝐧𝐜𝐞𝐦𝐞𝐧𝐭 🎉
Launching BuildWire.AI.
For 15+ years I ra |
Autonomous marketing automations built on n8n and Claude that manage content pipelines without requiring constant human monitoring. |
We will build a live n8n workflow that monitors a Google Drive folder for raw content briefs, routes them to a Claude 3.5 Sonnet agent to generate structured social media copy, and automatically stages them in Buffer, showcasing the exact error-handling and routing logic that keeps the system running autonomously. |
live_workflow_walkthrough |
— |
|
new |
| 2026-07-17 08:21 |
𝐁𝐢𝐠 𝐀𝐧𝐧𝐨𝐮𝐧𝐜𝐞𝐦𝐞𝐧𝐭 🎉
Launching BuildWire.AI.
For 15+ years I ra |
Optimizing brand visibility on conversational search engines like ChatGPT and Perplexity to ensure a brand is recommended during buyer research. |
We will build a comparative audit showing how a brand is currently cited in a Perplexity query for 'best B2B marketing automation tools' versus its visibility after we implement structured entity data and comparison landing pages, mapping the exact citation sources Perplexity crawls to generate its answers. |
before_after_comparison |
— |
|
new |
| 2026-07-17 08:21 |
עכשיו הסוכן שלכם יכול לקבל מייל, לקרוא אותו ולענות. לבד.
אג׳נטמייל (AgentMail) |
Real-time execution of AI agent workflows via Webhooks and WebSockets immediately upon email receipt, including out-of-the-box handling of email threads and attachments. |
We will build a Vercel serverless function that acts as a webhook receiver for AgentMail, passing incoming customer emails with PDF attachments to a GPT-4o agent and capturing a screen recording of the agent instantly analyzing the file and replying to the thread. |
screen_recording |
— |
|
new |
| 2026-07-17 08:21 |
עכשיו הסוכן שלכם יכול לקבל מייל, לקרוא אותו ולענות. לבד.
אג׳נטמייל (AgentMail) |
Programmatic provisioning of dedicated email inboxes and domains for AI agents via the Vercel Marketplace integration using a single CLI command. |
We will write a deployment plan to run the 'vc i agentmail' CLI command, programmatically provision a new agent email inbox via their API, and show the live DNS routing and inbox dashboard in a step-by-step setup walkthrough. |
live_workflow_walkthrough |
— |
|
new |
| 2026-07-17 08:21 |
OpenAI shipped 3 major releases in 48 hours.
Most feeds are covering them separ |
ChatGPT Work's agent mode that pulls context from local tools and files to generate finished documents, sheets, and slides. |
We plan to connect ChatGPT Work to a Google Drive folder containing raw product spec sheets and brand guidelines for a mock client. We will record a video showing the agent analyzing the files, displaying its step-by-step layout plan, and generating a formatted 5-slide Google Slides presentation in real time. |
screen_recording |
— |
|
new |
| 2026-07-17 08:21 |
OpenAI shipped 3 major releases in 48 hours.
Most feeds are covering them separ |
GPT-Live's full-duplex voice architecture that listens and speaks simultaneously while handing off complex questions to a background frontier model. |
We will build a voice-driven marketing briefing assistant using the GPT-Live API. The live walkthrough will show a user interrupting the assistant mid-sentence with a complex campaign ROI calculation, demonstrating how the voice pauses instantly, processes the math via the background model, and delivers the answer without breaking conversational flow. |
live_workflow_walkthrough |
— |
|
new |
| 2026-07-17 08:21 |
OpenAI shipped 3 major releases in 48 hours.
Most feeds are covering them separ |
GPT-5.6's 'ultra' setting that runs four agents in parallel on one task to optimize cost-per-outcome. |
We will build a benchmark test using the GPT-5.6 API to run four parallel agents (configured as a researcher, strategist, copywriter, and editor) on a standardized ad campaign creation task. The plan is to measure the exact token usage and execution time, comparing this parallel 'ultra' run's cost and quality directly against a traditional sequential GPT-4o chain. |
before_after_comparison |
— |
|
new |
| 2026-07-17 08:21 |
זהו, ChatGPT 5.6 יצא, והוא לא פחות גדול מ-Fable. אבל הרבה יותר זול.
המשפחה מגיע |
The native Multi-agent Responses API in Beta, which parallelizes sub-agents from a single request and automatically consolidates their outputs. |
Build a workflow that executes a comprehensive competitor analysis by triggering the new Responses API under its 'ultra' configuration to run four specialized sub-agents (SEO, pricing, positioning, and ad copy) simultaneously. We will record the execution trace to show how a single API call orchestrates these parallel streams and outputs a unified marketing strategy report. |
live_workflow_walkthrough |
— |
|
new |
| 2026-07-17 08:21 |
זהו, ChatGPT 5.6 יצא, והוא לא פחות גדול מ-Fable. אבל הרבה יותר זול.
המשפחה מגיע |
Programmatic Tool Calling, where the model writes and runs JavaScript in an isolated runtime to orchestrate tool calls and filter intermediate results without returning every step to the model. |
Build a benchmark script that compares a traditional multi-step API fetching workflow (using standard sequential LLM tool calls) against the new Programmatic Tool Calling feature. We will run both setups through a marketing lead enrichment task and show a side-by-side comparison of the total API roundtrips, token consumption, and execution speed. |
before_after_comparison |
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new |
| 2026-07-17 08:21 |
Most marketers pick one AI model and run everything through it.
That's quietly |
Using lighter, faster models like Claude Haiku or GPT-mini for high-volume routine work (such as bulk subject lines and product descriptions) maintains acceptable quality while optimizing speed and API costs. |
We will build an automated bulk email variant generator using Claude Haiku 4.5 to process 100 product SKUs simultaneously. We will record a live walkthrough of the run, showing the real-time generation speed, the final copy quality, and the cost breakdown dashboard. |
live_workflow_walkthrough |
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new |
| 2026-07-17 08:21 |
Most marketers pick one AI model and run everything through it.
That's quietly |
Routing routing-specific marketing tasks to specialized models (such as Claude for long-form brand voice and Gemini for data analysis) yields significantly higher quality than relying on a single default model. |
We will build a multi-agent workflow in n8n that splits a marketing campaign brief, routing the competitor data analysis to Gemini 3.1 Pro and the long-form copy generation to Claude Opus 4.8. We will then show a side-by-side comparison of this orchestrator's output against the output of a single default model running the entire prompt. |
before_after_comparison |
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new |
| 2026-07-17 08:21 |
המשפחה של GPT-5.6 עם שלושת המודלים שלה, Sol ו-Terra ו-Luna, עולה לאוויר לכולם בי |
GPT-5.6 Terra delivers the performance of GPT-5.5 at approximately half the operational cost. |
We will build a multi-agent lead enrichment workflow using CrewAI, running 100 test runs through both GPT-5.5 and GPT-5.6 Terra. We will display a live dashboard comparing the total API spend and output quality scores of both models to verify the 50% cost-savings claim. |
live_workflow_walkthrough |
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new |
| 2026-07-17 08:21 |
המשפחה של GPT-5.6 עם שלושת המודלים שלה, Sol ו-Terra ו-Luna, עולה לאוויר לכולם בי |
GPT-5.6 Luna is a low-cost, high-speed model optimized for processing high-volume daily tasks. |
We will build an automated content moderation and categorization engine that ingests 500 simulated user comments. We will record a screen walkthrough showing Luna processing the queue in real-time, highlighting the latency per request and the final API cost for the batch. |
screen_recording |
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new |
| 2026-07-17 08:21 |
המשפחה של GPT-5.6 עם שלושת המודלים שלה, Sol ו-Terra ו-Luna, עולה לאוויר לכולם בי |
GPT-5.6 Sol is designed as the flagship model for solving highly complex coding, cyber, and research problems. |
We will build a benchmarking pipeline that feeds Sol a legacy codebase refactoring challenge containing nested asynchronous API calls and rate-limiting issues. We will run the code generation live and compare the debugging output side-by-side with Claude 3.5 Sonnet to evaluate logic accuracy. |
before_after_comparison |
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new |
| 2026-07-17 08:21 |
מריצים סוכנים על Vercel? היום הם יכולים כבר להתקשר אליכם!
וורסל הוסיפה תמיכה מל |
Vercel's real-time voice integration supports mid-conversation tool calling, enabling voice agents to pause mid-sentence, fetch external data or trigger API actions, and resume speaking dynamically. |
We plan to build a voice-based customer support agent that handles shipping inquiries. We will record a screen capture of a live user conversation where the agent pauses to execute a mock shipping database lookup tool mid-call, highlighting the terminal logs to show the real-time transition from voice input to JSON tool execution and back to synthetic voice output. |
screen_recording |
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new |
| 2026-07-17 08:21 |
מריצים סוכנים על Vercel? היום הם יכולים כבר להתקשר אליכם!
וורסל הוסיפה תמיכה מל |
Vercel AI SDK 7 introduces the `useRealtime` hook and server-side ephemeral token generation, allowing developers to run secure, low-latency browser-based voice agents without exposing raw API keys to the client side. |
We plan to build a Next.js proof-of-concept application using the Vercel AI SDK 7 that connects to OpenAI's real-time model. We will show a split-screen walkthrough: on one side, the server-side route generating the ephemeral token, and on the other, the browser's Network tab proving that only the short-lived session token is exposed during the active WebSocket connection. |
live_workflow_walkthrough |
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new |
| 2026-07-17 08:21 |
Claude Sonnet 5 shipped this week. It's now the default model across Claude.ai, |
Claude Sonnet 5 includes native agentic planning, tool use, browser navigation, and terminal control to run workflows autonomously. |
We will build an autonomous competitor auditing agent powered by Sonnet 5's tool-use capabilities. We will capture a screen recording of the agent dynamically planning its steps, opening a browser to extract pricing data from live competitor sites, and compiling a structured CSV analysis locally. |
screen_recording |
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new |
| 2026-07-17 08:21 |
Claude Sonnet 5 shipped this week. It's now the default model across Claude.ai, |
Claude Sonnet 5 features a native 1M-token context window that can process entire brand guidelines, campaign histories, and competitor research in a single session without chunking. |
We will build a workflow that feeds a brand's 500-page historical asset archive and complete style guide into a single Sonnet 5 session. We will show a walkthrough of the model auditing a new multi-channel campaign draft against this massive history to flag brand voice violations. |
live_workflow_walkthrough |
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new |
| 2026-07-17 08:21 |
Your AI writing sounds like everyone else's AI writing.
Not because your prompt |
Deploying a single, static brand voice asset across different LLMs (such as ChatGPT and Claude) to achieve identical stylistic and tonal outputs across platforms. |
We will build a Make.com automation that pulls a JSON-formatted brand voice card from Airtable and feeds it as a system instruction to both Anthropic's Claude 3.5 Sonnet and OpenAI's GPT-4o. We will record a walkthrough of the workflow showing that both models produce cohesive, brand-aligned LinkedIn posts that respect the exact same constraints despite their different native architectures. |
live_workflow_walkthrough |
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new |
| 2026-07-17 08:21 |
Your AI writing sounds like everyone else's AI writing.
Not because your prompt |
Using a standardized, reusable 8-line 'brand voice card' (defining audience, tone, formatting, banned words, and samples) as a system prompt prefix to eliminate generic, average AI writing styles. |
We plan to build a standardized 8-line Brand Voice Card in a Google Sheet for a B2B marketing client. We will then show a side-by-side comparison of a blog introduction generated by GPT-4o using a standard prompt versus one generated with the brand voice card prepended, highlighting how the card successfully filters out generic AI vocabulary and enforces strict formatting constraints. |
before_after_comparison |
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new |
| 2026-07-17 08:20 |
The AI SEO Plugin is ready.
25 skills + a /bootstrap command to get your brand |
A suite of 25 distinct built-in optimization skills targeting Generative Engine Optimization (GEO) across platforms including Gemini, Claude, Perplexity, and Google AI Overviews. |
We will build a side-by-side comparative matrix selecting two key skills from the plugin—specifically the citation-source generator and the LLM-intent alignment skill. We will run these optimizations on a test client page and show a before-and-after comparison of how Perplexity cites the page's content when answering industry-specific queries. |
before_after_comparison |
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new |
| 2026-07-17 08:20 |
The AI SEO Plugin is ready.
25 skills + a /bootstrap command to get your brand |
A specialized '/bootstrap' command within the AI SEO plugin designed to instantly format and prepare brand data for indexing by LLM engines like Claude, ChatGPT, and Perplexity. |
We plan to download the plugin, run the '/bootstrap' command on the Sibonix brand domain, and record a screen walkthrough of the step-by-step configuration. We will show the exact markdown and structured schema payload generated, then upload it to a clean Claude Projects knowledge base to verify how it immediately alters Claude's retrieval behavior regarding our brand. |
live_workflow_walkthrough |
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new |
| 2026-07-17 08:20 |
https://www.instagram.com/p/DaydOp3jdX0/?utm_source=ig_web_copy_link&igsh=NTc4MT |
Multi-persona orchestration inside a single Claude Project to pass a content concept sequentially from a Strategist to a Creative Director and a Copywriter. |
We will build a Claude Project configured with custom system instructions for these three specific personas. We will record a live workflow walkthrough showing a raw trend URL being processed sequentially by each persona in the chat history, resulting in a finalized, on-brand social copy draft and visual brief. |
live_workflow_walkthrough |
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new |
| 2026-07-17 08:20 |
https://www.instagram.com/p/DaydOp3jdX0/?utm_source=ig_web_copy_link&igsh=NTc4MT |
An AI Director persona that translates a creative concept into structured, syntax-perfect prompts optimized for specific image and video generation models. |
We will build a specialized system prompt for the AI Director persona and run a test where it takes a raw text concept and outputs optimized prompts for Midjourney v6 and Runway Gen-3. We will present a before-and-after comparison showing the raw creative concept alongside the highly detailed generated prompts and the actual visual assets produced by running those prompts. |
before_after_comparison |
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new |
| 2026-07-17 08:20 |
https://www.instagram.com/reel/Da0Mb0xOtuP/?utm_source=ig_web_copy_link&igsh=NTc |
Generating ad videos directly within Claude using natural language prompts via the integrated Runway MCP tool without switching interfaces. |
We will draft a specific prompt for a product video ad, submit it directly to Claude with the Runway connector active, and show a before-and-after comparison of the raw text prompt alongside the final rendered ad video generated inside the chat. |
before_after_comparison |
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|
new |
| 2026-07-17 08:20 |
https://www.instagram.com/reel/Da0Mb0xOtuP/?utm_source=ig_web_copy_link&igsh=NTc |
Connecting Runway directly to Claude via the Model Context Protocol (MCP) connector using a custom URL to trigger video generation straight from the chat interface. |
We will configure the custom Runway connector inside the Claude interface using the official Runway MCP URL, and film a live walkthrough showing the step-by-step setup followed by a successful connection test. |
live_workflow_walkthrough |
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new |
| 2026-07-17 06:03 |
Claude Sonnet 5 shipped this week. It's now the default model across Claude.ai, |
Claude Sonnet 5's 1M-token context window eliminates the need for complex database integrations to keep AI agents aligned with brand guidelines. |
Stop building complex retrieval systems just to keep your AI agents on-brand. |
linkedin_post |
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new |
| 2026-07-17 06:03 |
Claude Sonnet 5 shipped this week. It's now the default model across Claude.ai, |
Sonnet 5's native agentic planning allows us to deploy marketing systems that execute multi-step campaign QA without human intervention. |
We are migrating our client QA workflows to Sonnet 5 to eliminate manual review bottlenecks. |
short_video_script |
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new |