Sortie HQ
AI-native strategy-to-execution platform with a live prototype
PythonFastAPINext.jsPostgreSQLClaude APIBYOL
A pre-revenue AI-native platform targeting $150B+ in annual engineering coordination overhead. Sortie HQ takes organizational strategy and decomposes it into engineer-ready work, with confidence scoring that flags uncertainty for human review. I authored the full founder stack — market research, business plan, financial model with dilution scenarios, PRD, brand positioning, investor pitch deck, one-pager, and go-to-market pricing strategy — and built the working prototype by directing AI coding agents under my own architectural review.
Highlights
- •Live prototype on the web — directed AI coding agents under direct review to build it
- •$150B+ TAM sized from first principles: $120K/engineer/year across a 5M-engineer addressable market
- •Confidence scoring so the system knows what it doesn't know — low-confidence outputs flagged for human review
- •Designed for enterprise trust — bring-your-own-LLM, auditable decisions, and configurable approval thresholds
- •Targets the coordination scaffolding around engineering teams (PMs, scrum masters, RTEs, architects) costing $75K–$170K per engineer annually
- •Founder stack authored end-to-end: competitive analysis, business plan, financial model, PRD, pitch deck, one-pager, GTM pricing, and CFO-ready ROI framework