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Step-by-step video tutorials for AI, automation and no-code builders.
building AI agents: Enterprise adoption for Modern Teams explains the practical decisions, risks, metrics and rollout steps operators need to move from experiment to dependable production value.
A full walkthrough of building a working AI agent in n8n — from trigger to tool calls to memory — with the exact nodes and prompts.
How to design, instruct and deploy a Custom GPT with actions, knowledge files and a system prompt that survives real users.
Set up Claude Projects with the right context, style guides and prompts to draft, edit and ship long-form work faster.
Use Gemini's vision and audio inputs to build a small app that describes images and answers questions about them.
automating lead capture: Enterprise adoption for Modern Teams explains the practical decisions, risks, metrics and rollout steps founders need to move from experiment to dependable production value.
A live-coded walkthrough of using Cursor's agent to implement, test and commit a real feature in an existing repo.
Wire a Zapier automation that uses AI Actions to enrich leads and route them to the right owner, with fallbacks.
Learn the exact error-handling patterns — Break, Resume, Rollback, Commit — that keep Make scenarios running in production.
A hands-on crash course in Postgres RLS on Supabase — policies, roles and the mistakes that leak data.
prompt libraries: Enterprise adoption for Modern Teams explains the practical decisions, risks, metrics and rollout steps product teams need to move from experiment to dependable production value.
Design an agent as a graph of nodes and edges with LangGraph — with persistence, branching and human-in-the-loop.
