Ship production-grade apps, fast.
Open-source Next.js and Expo templates on AWS, built for your AI coding agent. Point it at a repo, describe an idea, and it ships a real, live app, with the infrastructure, auth, database, CI/CD, and security scanning already wired.
Spec-driven by default: your agent turns each brief into a spec, writes the code and the tests together, and CI blocks the deploy until every requirement is covered by a passing test.
Everything you need, already built.
Your agent inherits a complete Next.js and AWS production stack, so it spends its time on your product, not the plumbing.
Spec-driven gate
CI/CD pipeline
Security scanning
OIDC deploys
Next.js on AWS
Post-deploy smoke test
Auth and database
Observability
Validation
Eight technologies, already wired.
Across two templates, web (platform) and mobile (mobile-platform), configured and deploying on day one.
App Router, SSR on Lambda via OpenNext.
React Native app, EAS build and OTA updates.
Typed API on Lambda and API Gateway.
Serverless compute that scales to zero.
Static assets on a global CDN.
Infrastructure as code, one construct.
Serverless Postgres with connection pooling.
OIDC deploys, no stored keys.
Prompt your idea. It does the rest.
You describe the app. The agent builds it, sets up your cloud once, and ships it to AWS.
Prompt your idea
Describe the app to your AI coding agent and point it at the template repo.
It scaffolds
The agent pulls from the template and writes the app, no boilerplate, no config.
It connects your cloud
On the first deploy it wires GitHub and AWS once: an OIDC role, a database, and secrets.
CI proves it
The spec gate hits 100%, security scans pass, and the smoke test confirms the deploy.
It ships
A live AWS URL, automatically, on every push from then on.
Real apps. Shipped.
Every one is live, on real auth and real data. Open any of them.
LiveAI Tax Assistant Platform
A multi-tenant AI tax assistant platform for tax officers: each department gets its own workspace with a document-grounded assistant (RAG with clickable inline citations) and a visible step trace. One observed gateway routes every call across six OpenAI and Anthropic models by deterministic rules, logging latency, tokens, and cost, with cross-provider fallback. Officers compose their own lookup, template, and calculator tools (code runs in a QuickJS WASM sandbox), prompt versions activate only past an LLM-judge eval gate, and governance-as-code enforces PII redaction, a per-call cost ceiling, and a full audit trail.
LiveDriveBuddy
AI driving companion for Singapore: an Expo app on a serverless NestJS API (Lambda + Neon Postgres). Surfaces live ERP, traffic, weather, and parking, tracks drives with background GPS and in-drive voice alerts for gantries and incidents ahead, itemizes fuel and ERP costs after every trip, and takes voice or text questions through a Claude assistant grounded in your vehicles and driving history.
LiveCoverLens
AI insurance policy checker for Singapore. Drop in a policy PDF (read in your browser, never stored) and get a plain-language summary, a coverage breakdown, and a curated fine-print checklist. A LangGraph draft-verify-finalize loop grounds the model: deterministic code checks every quote against the document and re-drafts what fails, so nothing unquotable is shown.
Ready to ship production-grade apps, fast?
Point your agent at the platform repo and describe your first app. It builds, connects, and ships to a live AWS URL.