Week 1: architecture locked, Figma screens approved, no code until design is signed off. Week 2: backend live = APIs, auth, database, core logic. Week 3: frontend built from approved screens, backend integrated, agentic QA running continuously. Week 4: performance testing, security review, production deployment, full handoff = source code, documentation, deployment guide, everything. No cut corners. The AI tooling eliminates the time-wasting parts = scaffolding, manual test writing, repetitive documentation. Engineers stay on decisions that matter. Has anyone here done a 4-week build? What actually held the timeline?
A Velocity Pod is a fixed-price delivery system: - senior architect, - product lead, - AI-assisted developers and - Agentic QA running in parallel. No hourly billing, no scope creep, no surprises. The AI layer handles boilerplate, test writing, and documentation, so engineers focus purely on architecture and product logic. Result: production-ready MVPs in 4 weeks starting at $24,900, with full IP handoff. We've run this across 300+ products in 21 countries. Same model, different configuration per vertical.
What's the biggest way a dev agency has wasted your time?
US ML engineer hiring is difficult for most startups, $250K $350K packages, 4 6 month timelines.
AI Velocity Pods pairs pre-vetted offshore AI engineers with senior architects. Productive in 2 weeks. 70% less than US equivalents.
Vetting on actual production work, not interviews Senior architect on every engagement 2-week structured onboarding 100% IP ownership Fixed price, no hourly billing
Your sales reps spend 4 6 hours writing proposals. The information already exists in the call transcript. AI Velocity Pods builds the system that connects the two.
70% of SaaS support tickets are L1, same questions, same answers, every day. Hiring another rep adds linear capacity to a geometric problem.
AI Velocity Pods builds a custom AI support agent trained on your docs and past tickets, deployed in Zendesk or Intercom in 2 weeks. Resolves L1, does not just route.
Trained on your docs and ticket history $12K $25K $2K $4K/mo live in 2 weeks
AI demos work on clean test data. Production data lives in legacy systems with no modern API.
AI Velocity Pods builds the integration layer - extraction, transformation, middleware - between legacy infrastructure and production AI. The legacy system stays as-is.
API wrapper for systems with no modern interface Data extraction and transformation pipeline Middleware + update propagation
We're live on Product Hunt today with AI Velocity Pods.
Your support means everything: upvotes, comments, questions. All of it helps.
Here's what we're sharing:
AI Velocity Pods is the way we build software, not a platform you log into. Each pod pairs AI agents with senior engineers inside a fixed-price engagement. No hourly billing. No open-ended timelines. You agree on what gets built. We build it.
Most RAG systems work in demos. They fail in production.
We know because we've been on the call when a VP forwards a wrong AI answer to three of their reports. That's the moment you realize your 62% baseline accuracy is a business problem, not just a technical one.
