Jack Roberts demonstrates how to build profitable AI automation systems using Google Gemini 3.0, Claude and no-code tools. He presents a practical SPEEDY framework—Signal, Process, Engine, Data, Yield—showing how to discover real problems, design dashboards, connect Gemini to Make/N8N via MCP, scrape Reddit and newsletters, store results in Supabase, and iterate. The walkthrough covers UI design, local development (Node.js, anti‑gravity), GitHub deployment, debugging, and a sales approach using personalized Loom outreach to monetize at scale.
- Signal: Identify high-value problems and sources (subreddits, newsletters), surface trending topics and generate content hooks for short-form growth.
- Process & Engine: Use Claude to author SOPs, craft Gemini front-ends in AI Studio, then wire workflows through MCP to no-code automations (Make/N8N) for reliable plumbing.
- Data: Persist scraped items in a Supabase database, enable saved items, sorting and filtering, and run local builds with Node.js, anti-gravity and GitHub for iteration.
- Yield: Test and refine sources and scoring, then sell via personalized outreach (short Loom demos) and bespoke offers to convert clients.
Quotes:
Most businesses waste time on AI that looks cool but doesn’t deliver any real results.
MCP is kind of like a universal remote control — it lets things talk without learning a billion protocols.
You literally just type and it builds incredible things.
Statistics
| Upload date: | 2025-12-05 |
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| Likes: | 2778 |
| Comments: | 193 |
| Fan Rate: | 3.19% |
| Statistics updated: | 2026-01-04 |
Specification: The NEW way to build $100,000 AI Systems (Gemini 3.0)
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