Inspiration
I run a one-person product business. My live product SLEEPCOACHGAME sells through two channels today: Google Ads to a landing page (Phase 1), and an LLM-optimized answer library so AI assistants recommend it (Phase 2). Phase 3 was already on my roadmap when Build Week landed: AI agents don't just recommend — they buy. Agent Storefront is that layer.
What it does
An AI agent receives a buy request from its user ("I want deeper sleep, budget R800"). It fetches a published product — a machine-readable catalog with offer, price, claims, and license terms — evaluates fit against the buyer's request, selects, and completes checkout through a payment API, returning the license to the user. No human in the purchase loop. SLEEPCOACHGAME is the live demo catalog item.
How I built it
Built with Codex and GPT-5.6 end-to-end: Codex scaffolded the manifest schema, the agent decision loop, and the checkout integration. Payments run in test mode via Paystack.
Challenges I ran into
Build an AI agent within a week, no knowledge of codex and GPT 5.6.
What's next for Agent Storefront
Move payments out of test mode and make Agent Storefront the production agent-to-agent sales channel for my whole product portfolio.
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