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.
AI Fire: AI Agent Fundamentals is a practical video playbook that explains what AI agents are, why they matter, and how they actually work. Instead of just talking theory, the video breaks down the core building blocks of agents — goals, tools, memory, context, planning, and permissions — then shows real demos using Claude Cowork and OpenClaw. It helps creators, founders, and operators understand when to use each tool and how to build safer, more useful AI workflows.
Claude x Canva Workflows is a practical video playbook showing how to use Claude with Canva to create social media designs faster. Instead of jumping between blank prompts, messy layouts, and manual edits, the workflow turns one idea into a clear creative brief, poster, Instagram carousel, and edited Canva template. It’s made for creators, marketers, small business owners, and freelancers who want repeatable AI-assisted design without hiring a designer or starting from scratch.
Google quietly upgraded NotebookLM into something much more powerful than a simple AI summarizer. In this video, I break down how the new agentic NotebookLM workflow can research, analyze data, generate business insights, and turn raw information into usable outputs like reports, roadmaps, slides, and financial plans. I walk through a real business example, show why the old workflow was limited, and give you a practical playbook for using NotebookLM as a research assistant for your business.
This video breaks down how two AI agent systems perform in real beginner workflow, and why Hermes feels stronger than OpenClaw.
The video covers Hermes setup with Agent37, Hermes Web UI onboarding, Telegram note, `/goal` command, and a practical test: customer feedback analysis.
Session Handoff Skill for Claude Code turns a coding session into a clear handoff.md file so another agent, like OpenAI Codex CLI, can continue the same project without starting from scratch.
In the demo, Claude builds a Mini Bug Tracker Dashboard, runs /session-handoff, then Codex reads the handoff and edits the same files. It is not memory sync; the project folder carries the code, and handoff.md carries the context.
Discover 9 practical hacks to unlock Claude’s full potential. Learn to pick the right tool, choose the best model, set up Project Instructions, craft better prompts, clarify tasks first, organize with XML tags, leverage features, maintain fresh context, and fact-check outputs for smarter, faster, and sharper AI assistance.
A practical guide to the Higgsfield Virality Predictor + Claude workflow. The real bottleneck is choosing which ones to post or fund.
The Workflow:
1. Import brand deck into Claude to build ideas.
2. Generate UGC-style ads via Higgsfield.
3. Filter creatives using the Virality Predictor.
4. Evaluate scores, hook strength, and hold rates.
Note: It explores comparisons to Meta’s TRIBE v2, treating scores as a filter, not a guarantee.