Build with AI. Ship like an architect.
New apps built at AI speed — or the app you vibe-coded, rescued — with real architecture, security, and hosting and AI-credit costs you can predict. Led by an AWS Certified Solutions Architect.
From prototype to production.
New AI-powered apps
Dashboards, portals, internal tools and SaaS MVPs — built fast with AI, engineered to last.
Next.js · React · Node.js · SupabaseVibe-code rescue
Apps built in Lovable, Bolt, Cursor or Replit reviewed, refactored and tested — without a full rewrite.
Code review · Refactor · TestsCloud & AI cost reduction
Right-sized hosting, cached and routed model calls, token budgets and spend alerts.
AWS · DigitalOcean · Vercel · LLM APIsSecurity & scale hardening
Auth, row-level security, rate limits, secrets and backups — the parts AI tools skip.
Supabase RLS · Auth · MonitoringAI writes the code. Someone still has to architect it.
AI tools are brilliant at getting an app working — and terrible at keeping it cheap and safe. We find what's driving the bill and fix it without breaking what works.
- Right-sized hosting — no paying for idle servers
- Model routing & caching — the cheapest model that does the job
- Token budgets and spend alerts on every AI call
- Auth, row-level security and rate limits before launch
- Clean architecture you can hand to any developer
Fix what matters. Keep what works.
- i.
Architecture & cost audit
We map what runs where, what each part costs and where the risks are.
- ii.
Fix plan & estimate
A prioritized list of fixes with expected savings — you choose what we do.
- iii.
Refactor & harden
Changes made in small, tested steps so the app keeps working throughout.
- iv.
Hand back or host
Docs and handover to your team — or we host and look after it for you.
Apps we've built and run.
Prospect-signal Chrome extension
An extension with background workers that monitors prospects’ LinkedIn posts and flags the right moment to reach out.
Analytics SaaS dashboard
A client-facing dashboard consolidating paid-ads and PR reporting into one view.
Architecture & cost audit
Send us an AI-built app and we map what runs where, what each part costs and where the risks are, then hand back a prioritized fix plan.
Questions we hear on every first call.
Can you work with an app built in Lovable, Replit, Cursor or Bolt?
Yes. We work with apps built in Lovable, Replit, Cursor, Bolt, v0, Base44, Claude Code or Google Antigravity. We start from your existing code and repo, and only rebuild the parts that genuinely need it.
How much can we save?
It depends on the app — the audit gives you a concrete estimate before you commit to any work.
Will you rewrite everything?
Rarely. Most apps need targeted fixes to hosting, AI calls, auth and data — not a rewrite.
Do I keep ownership of the code?
Always. Everything lives in your accounts and repos, documented so any developer can pick it up.
What do you check in an architecture and cost audit?
What runs where, what it costs and what it should cost: hosting size, oversized or uncached AI calls, missing token budgets and spend alerts, exposed keys, auth and database access rules, and scaling limits. You get a prioritized fix plan and estimate before any build work starts.
How do you stop a surprise cloud or AI bill?
We right-size hosting, route each step to the cheapest model that does the job, cache repeated AI calls, and put token budgets and spend alerts on every AI call — plus hard spending limits wherever the provider supports them.
Is it safe to have API keys in my frontend?
Secret keys (OpenAI, Anthropic, database service-role keys) should never ship in client code: we move them server-side, rotate any that leaked and add rate limits. Public keys, such as a Supabase anon key, are only safe when row-level security rules protect every table.
Can you host it after launch, or hand it back?
Either. We can host and monitor it, or hand it back with documentation on your own accounts — no lock-in.