I used ChatGPT Sites to turn a free flight API into FlightReady, a working mini SaaS for checking live flight updates. The video follows my FIND framework: discover a useful API, choose a focused product, narrow the MVP, build the first version, test it with real flights, fix delay logic and missing-data issues, then publish the app. You’ll see the four prompts, the real outputs, what ChatGPT Sites handled well, and where human review still mattered.

I tested Claude Opus 5 with a real 90-day go-to-market task and compared a basic prompt with a structured framework based on Anthropic’s official guidance. The video shows five practical prompting rules, one advanced subagent tip, both outputs, and the usage from each run. You’ll see how clearer task scope, source grounding, trade-off rules, output control, and completion criteria make the final plan easier to trust, scan, and use.

I tested Hermes Agent from setup to real use, covering Agent37, OpenRouter, Telegram, memory, skills, cron jobs, and a small AI Fire workflow. This video explains how the main parts work together, where beginners may get stuck, and what you should verify before relying on the agent. It is a practical fundamentals guide for anyone who wants to understand Hermes before moving into advanced features.

I tested Kimi K3 through OpenRouter with a free-plan style workflow and built 5 local browser prototypes: a product landing page, mini productivity tool, simple game, AI Fire intro animation, and 3D global view. The video shows what worked, what broke, token usage, cost estimates, and which use cases are actually worth trying for creators, marketers, and builders.

I tested ChatGPT Work through a real daily briefing workflow using Projects, Skills, Gmail, Tomorrow.io Weather, Scheduled Tasks, and local file outputs. The video shows what Work handles well, where the first result still needs manual review, and whether it feels useful for creators, small teams, and operators beyond a basic chatbot demo.

AI Fire Weekly AI News breaks down the stories shaping the AI race without the hype or confusing jargon. This launch covers GPT-5.6 Sol, Anthropic’s latest Fable 5 extension, Grok 4.5 inside Cursor, Apple’s lawsuit against OpenAI, Google’s agentic coding gap, and more. Each story includes benchmarks, sources, practical context, and a clear explanation of why it matters.

I tested ChatGPT-5.6 Sol across five real work tasks: multi-file data analysis, hallucination research, long-context writing, website building in ChatGPT Work, and an end-to-end product decision package. The video shows where Sol passed, where it needed edits, where it hallucinated, and whether it is worth using as a daily work model.

Claude Model Test is a real-world video comparing Fable 5, Sonnet 5, and Opus 4.8 inside Claude Code. The video covers Fable 5’s controversial launch history, then tests all three models on a portfolio website and a Remotion TVC. It shows which Claude model is best for speed, cost, quality, coding, creative work, and daily AI workflows.

Build a practical AI Agent System in n8n that reads unread emails, classifies them as Sales, Support, HR, or Spam, then sends each one to the right place. The workflow uses Gmail, Google Gemini, Notion, Telegram, and Google Drive, with human review and error handling added so it works beyond a basic demo.

Claude Design can turn a rough app idea into a clean UI, and Codex can turn that prototype into a working local MVP. This video tests the workflow through **ContentOS Lite**, a simple internal app for creators to manage content projects, status stages, project details, checklists, and local data after refresh. It also covers the limits, including no real database, no login, no production deployment, and why manual browser testing still matters.