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Warrior AI Solutions — Engineering Overview
A 5-layer AI coaching platform built for 10,000 Warriors. A staged scaling roadmap to $3,444/mo at full production. A test strategy Anna can sign off.
Platform Architecture
Every warrior message flows through Firebase-authenticated access, into a Dify-powered 7-agent coaching engine, pulling personalized context from Firebase — and streaming back a coaching response in real time.
"The Firebase JWT is validated at the Gateway and discarded. The Dify engine receives only a user ID — never a token. The Bridge is physically unreachable from the internet."
— Security model by design (DL-013)QA Strategy
The test strategy covers every layer of the platform — from individual endpoint validation through sustained 10,000-user load. Nothing is left to chance.
Unit → Integration → E2E pyramid. Every auth flow, every rate limit, every user data isolation guarantee has a named test case.
k6 load testing in 5 phases. Baseline → confidence → stress → scale → production simulation. Clear pass/fail thresholds at every stage.
Two critical gaps resolved pre-launch. Auth architecture verified. Full audit (prompt injection, Dify sandboxing) scheduled as dedicated session.
Security Status
Every security item is tracked, owned, and categorized. Nothing is unknown. Two critical gaps found during architecture analysis were fixed and merged before any QA testing began.
* with ALLOWED_ORIGIN env varWARAI-71✓ MERGED/chat — 20 req/min, configurable, Retry-After headerWARAI-72✓ MERGEDdigital_trainer_stack: true on every AI-generated writeADR-W019BY DESIGN/chat message fieldpendingPRE-LAUNCHScaling Roadmap
The architecture is designed from day one for production scale. The bottleneck is Celery — not the Gateway, not Firebase. Five stages take us from demo to 10,000 concurrent users with full cost transparency at each step.
--concurrency=20 -P gevent). Add second worker container. LLM API calls are I/O-bound — gevent doubles effective throughput at zero cost. 2–4 hours to implement. Result: 40–60 parallel LLM sessions.LLM Cost vs. Revenue at Scale
| Provider / Agent Assignment | Rate Limit | Monthly Cost | Revenue Context |
|---|---|---|---|
| DeepSeek Chat — Power Stack, Production Stack, Drift Check | 500 RPM | ~$180/mo | 0.04% of MRR |
| Claude 3.5 Sonnet — Fact Map, Bible Stack, General Coach | 200 RPM | ~$420/mo | 0.09% of MRR |
| Gemini 2.0 Flash — Breakthrough Agent | 1,000 RPM | ~$90/mo | 0.02% of MRR |
| Total LLM at 5,000 Warriors | — | ~$690/mo | <0.15% of MRR |
10,000 concurrent Warriors represents ~100,000 total customers on the platform (10× concurrent-to-total ratio). At a conservative $95/mo MRR floor — many Warriors will be on higher-tier plans — that's an 8-figure monthly recurring revenue business. The infrastructure to run it costs less than a rounding error.
QA Sign-Off
22 binary checkboxes. Each requires evidence — not "looks good." Three launch gates: Garrett demo, beta, and production. Nothing ships without the gate passing.
warrior-hono-gateway — all passingwarrior-firebase-bridge — all passingdigital_trainer_stack: true401 within 200ms429ALLOWED_ORIGIN set to staging app URL in staging .env429/chat message field implementeddevbun run typecheck passes in CI for both reposmainOpen Items
Every open item is documented, assigned, and mapped to the checklist items it unblocks. Nothing is hidden. Nothing is hoped for.
ALLOWED_ORIGIN in staging .env on VPS — unblocks S-01Steffen / WestonHIGH/chat message field — unblocks S-06JeremyMEDIUMWarrior AI Solutions
The platform is real. The architecture is solid. The gaps are known and owned. The path to 10,000 warriors is documented, costed, and ready to execute.