How I Built a Config-Driven AI Tool Factory That Deploys 50+ Tools — Solo Developer Story

How I Built a Config-Driven AI Tool Factory That Deploys 50+ Core Tools and 760+ pre-configured Tools — Solo Developer Story I’m a SAP Solution Architect by day. For the past year, I spent my eveni...

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How I Built a Config-Driven AI Tool Factory That Deploys 50+ Tools — Solo Developer Story

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How I Built a Config-Driven AI Tool Factory That Deploys 50+ Core Tools and 760+ pre-configured Tools — Solo Developer Story I’m a SAP Solution Architect by day. For the past year, I spent my evenings and weekends building something that’s been quietly consuming my after-work hours. The result: MiniMind AI — a platform with 760+ specialized AI tools, each with its own unique URL, zero prompt engineering required, and a Config-driven architecture that lets me deploy a new tool in roughly 60 seconds. This is the technical story of how I built it, the architectural decisions I made, and what I learned along the way. The Problem I Was Trying to Solve Every week I watched colleagues — smart, capable professionals — struggle with AI tools. Not because AI couldn’t help them. But because they were expected to master prompt engineering just to get basic results. The cognitive overhead is real: What information to include in a prompt How to structure the request Which parameters matter How to it

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