Cohort Tracker
Each stage runs by experts.
Then sends you the artifact.
AiNa orchestrates 30+ specialist personas across 10 stages. Each stage produces a real, usable artifact you can read, edit, or hand to your team — not a black-box demo.
AIR Intake
Your AI readiness diagnostic answers + contact context become the brief.
Braindoc Synthesis
We expand your diagnostic into a 6-round Braindoc — frame, users, scope, ROI, deps, milestones.
Intent (SOW)
Six personas (industry analyst, market analyst, product strategist…) draft three strategic variants.
Ideation (PRD)
Seven personas turn your chosen variant into a precise PRD — features, data model, APIs, UX flows.
Dev (Build)
Five dev personas (scaffolder, backend, frontend, tests, QA) write tested code into a fresh GitHub repo.
Security Review
Static analysis, auth review, CVE scan, secret detection. Pre-launch security report you can hand to legal.
Readiness Check
Deployability, onboardability, cost model, DR review. Production-grade checklist signed off before launch.
Marketing Pack
Brand, copy, design, full marketing.html — landing page + 6 social posts + 3 email sequences + 4 ad variants.
Multimodal Docs
Onboarding flow, screenshots, API reference, video script outline. Everything a new user needs.
Ops + Deploy
Deployment plan, runbooks, SLOs, then we run vercel --prod. App is live; sitemap + robots submitted.
Each stage takes 2-5 minutes on average. Total wall-clock: ~40 minutes from "submit" to "live URL".
Four deliverables. All real.
No demos. No placeholders. Everything below is committed to your repo, deployed on your URL, and yours to keep.
Real GitHub Repository
Public or private, on dclawstack/<your-slug>. Real code, real tests, ready to clone, fork, or contribute to.
Live on Vercel
Production deployment with HTTPS, CDN, sitemap, robots.txt. Working URL we hand off — not a sandbox.
Launch Marketing Pack
Self-contained marketing.html with hero, features, 6 social posts, 3 email sequences, 4 ad variants.
Documentation You Can Read
PRD, SOW, security report, runbooks, deploy guide, go-live checklist. All markdown, all in the repo.
Four steps. Mostly waiting.
Total customer effort: ~5 minutes of typing. The rest is AiNa doing the work and emailing you when it's done.
Take the AIR Diagnostic
5 minutes. 30 questions. We learn your business, your pain points, your AI readiness.
Review your report + click Build
We pre-fill the build spec from your answers. One click and we queue it for review.
We fire the pipeline
Operator confirms (so no surprise cloud bills). 10 stages run. You watch, or come back.
Your app is live
Email arrives with the URL, GitHub repo, and marketing pack. Customize and ship.
Real documents at every stage.
These are the kinds of artifacts AiNa produces — actual files committed to your repo, ready to read or hand to your team. Examples below are from a real Cohort Tracker build.
# SOW — Cohort Tracker ## Variant A: SaaS - Multi-tenant Next.js + Postgres - Magic-link auth, Stripe billing - $400/mo target operating cost ## Variant B: Internal Tool - Single-tenant, RBAC, audit log - Self-host on Vercel + Neon - $80/mo ## Variant C: Hybrid - Free tier + paid org - < OPERATOR PICK ONE >
# PRD — Cohort Tracker ## User stories - As a coach I can record attendance per session so I see who's behind. - As a parent I can pay outstanding balances via Stripe. ## Data model - cohorts, sessions, attendances, members, payments ## API - POST /api/attendance - GET /api/cohorts/:id/balance - ...
export async function recordAttendance( cohortId: string, memberIds: string[],) { const session = await db.sessions.create({…) return session;}
# READINESS ## Deployable ✓ vercel.json validated ✓ env.example complete (8 vars) ✓ build succeeds locally ## Onboardable ✓ /signup flow tested ✓ docs/quickstart.md (5 min) ## Cost-modelled $32/mo for 1k DAU $240/mo for 10k DAU ## Disaster recovery ✓ Daily Postgres snapshot ✓ Restore runbook in repo
$ vercel --prod --yes ▲ Vercel CLI 53.1.0 > Deploying ~/deploys/cohort-tracker > Uploading 47 files (1.2 MB) > Building... ✓ Built in 38s ✓ Deployed to production https://cohort-tracker.vercel.app ✓ Sitemap submitted to Google SC ✓ Robots.txt published ✓ HTTPS cert provisioned ✓ Health check 200 OK
marketing.html ├─ #hero (H1, CTA, trust line) ├─ #features (5 cards, P0 features) ├─ #social-kit │ ├─ 3 X / Twitter posts │ ├─ 3 LinkedIn posts │ └─ 4 ad variants (G + Meta) ├─ #email-sequence │ ├─ Day 0: launch announce │ ├─ Day 7: case study │ └─ Day 14: convert / upgrade └─ #footer ✓ JSON-LD schema · OG card · Tailwind
Every artifact is real markdown / code / HTML, committed to your GitHub repo. You can read, edit, and version them like any other file.
Why we built this.
Most "AI app builders" hand you a black-box demo or a no-code lock-in. AiNa hands you the actual repository, the actual deployment, and the actual documentation.
From idea to live in one afternoon
What used to take a 4-week sprint with a dev team takes ~40 minutes. The pipeline is the team.
Real, ownable code
Not a no-code prison. You get a proper Next.js / FastAPI repo. Clone it, fork it, hire any dev to extend it.
We review every request
An operator approves each build before tokens get spent or repos get created. No accidental fires, no spam.
SEO + discoverability built-in
Sitemap.xml + robots.txt + JSON-LD schema + OG cards — submitted to Google + Bing automatically.
Already have a build in progress? Submit a build directly →