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How we build production-grade products in 4-6 weeks

Five stages. AI-native engineering. Evidence at every step. The same process whether you pay or build publicly with us.

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01

Validation

Before writing a line of code, we pressure-test the idea against real users, real numbers, and real distribution channels. Most ideas have a kernel worth building. The question is which part ships first.

What happens

  • Market sizing and competitive scan
  • User interview synthesis (5-10 conversations)
  • Feature cut: what earns its place in v1
  • Distribution channel identification

Deliverables

  • Validation brief (1-2 pages)
  • Feature priority matrix
  • Go/no-go recommendation

Founder involvement

  • 2-3 calls over 3-5 days
  • Share domain knowledge and contacts
  • Final go/no-go decision
02

Planning + PRDs

Every feature gets a product requirement document before engineering starts. PRDs define acceptance criteria, user flows, and edge cases. No surprise scope creep because everything is written down before the first commit.

What happens

  • Feature decomposition into work items
  • PRD per feature with testable acceptance criteria
  • 3-6 week build calendar with milestones
  • Risk identification and mitigation plan

Deliverables

  • Product requirement documents (PRDs)
  • Build calendar with weekly targets
  • Success metrics definition

Founder involvement

  • PRD review and approval
  • Priority calls on trade-offs
  • Sign-off on build calendar
03

Architecture

Production infrastructure from day one. Not a prototype that gets rewritten later. Auth, data layer, AI surface, billing, and observability are in the first commit. The stack is chosen for scale, not demos.

Default stack

  • React + Next.js or Vite (frontend)
  • PostgreSQL + Drizzle ORM (data)
  • Railway (deploy + infrastructure)
  • Stripe (billing), Resend (email)
  • PostHog (analytics), Sentry (errors)

Deliverables

  • Running app with auth + CI/CD
  • Database schema + migrations
  • Staging + production environments
  • Domain + SSL configured

When we deviate

  • Mobile-first: React Native + Expo
  • Heavy AI: custom pipeline with LangChain
  • Enterprise: SOC 2, HIPAA constraints
  • We document why in the ADR
04

Development

AI-native engineering, every day. Not AI-assisted. AI-native. Claude Code runs alongside us for every feature, every test, every deploy. The result: production-quality output at 3-5x the pace of traditional teams.

Daily rhythm

  • Pick up PRD work items in priority order
  • Build with AI (Claude Code, Cursor, FairStack)
  • Commit frequently, deploy to staging
  • Evidence captured per feature (screenshots, tests)

Deliverables

  • Working features on staging (daily)
  • Weekly demo to founder
  • Automated test coverage
  • Evidence package per work item

Founder involvement

  • Weekly 30-min demo + feedback call
  • Async feedback on staging builds
  • Priority decisions when trade-offs arise
05

Launch

Shipping means deployed, smoke-tested, monitored, and in front of real users. Not a staging demo. Not a slide deck. A live product with a distribution plan active from day one.

What happens

  • Production deploy with health checks
  • Smoke tests across all critical paths
  • Error monitoring and alerting active
  • Distribution plan goes hot

Deliverables

  • Live product on production domain
  • Monitoring dashboard (PostHog + Sentry)
  • Handoff documentation
  • 30-day post-launch support

After launch

  • Continued engagement or full handoff
  • Founder owns all code, data, and accounts
  • Scaling roadmap for next 90 days

AI-Native Engineering

Every Downshift build uses AI at every layer. Not as an afterthought. As the core of how we ship fast without sacrificing quality.

Claude Code

Daily engineering companion. Writes code, runs tests, manages deploys. The backbone of our development velocity.

Cursor

AI-powered IDE for rapid prototyping, code review, and refactoring across large codebases.

FairStack

Our own AI media platform. Image generation, voice, video, and music for product features that need creative AI.

Evidence-Driven QA

Every feature ships with before/after captures, automated tests, and staging verification. Nothing ships on "it should work".

CI/CD + Auto-Deploy

Push to main, auto-deploy to staging. Promote to production when verified. No manual deploys, no FTP, no pray-and-push.

PostHog + Sentry

Analytics and error tracking from day one. Know what users do, catch errors before they do, and measure what matters.

What You See, Week by Week

No black-box agencies. You see artifacts, not excuses.

Week 1

Validation brief, feature priority, build calendar

Week 2

Running app on staging, auth working, first feature demo

Week 3-4

Core features live, daily commits, weekly demos

Week 5-6

Production deploy, monitoring active, users onboarding

Two paths. Same process. Same quality.

Whether you invest or apply to build publicly, you get the same engineering rigor, the same AI-native process, and the same production-grade outcome.

Paid Partnership

Fixed-scope builds starting at $30K. Private. Fast. Full ownership from day one.

Partner with us

Build Publicly

Selective. Free of cash cost. Public by default. Apply with your idea and traction.

Apply to build publicly

See who got picked: public-build founders ยท Want to follow week by week? Read the build log.