Prototype-to-production engineeringLondon-based


ChatGPT, Claude, Cursor, v0, Bolt, Lovable — you got it 70% there. We pick up the rest: take your chat / mocks / prototype and ship the real version. Your repo, your stack, your cloud. Senior hands, evals, observability, the works.

§ 01
Where the demo ends

The hard part starts after Bolt, v0, Cursor, Lovable.

01

Security

API keys in the browser bundle. Auth that lets anyone in. Database queries that swallow user input raw. Stuff that ships with the demo, breaks at first contact with the internet.

02

Scalability

Works for ten users, falls over at a hundred. No connection pool, no rate limits, no queue. Cold starts that take twelve seconds. The kind of problems that show up on launch day, not before.

03

Data loss

Migrations that drop columns silently. No backups. No rollback path. The team can't undo a bad deploy without losing yesterday.

04

Observability

You don't know why prod broke. No logs, no traces, no errors tracked. Debugging is reading a screenshot a customer sent.

05

Cost runaway

A $50/mo OpenAI bill that becomes $5,000/mo by month two. No cost monitoring, no model fallbacks, no token caps. Every prompt is a sweat-or-shrug moment.

06

Maintenance

Six months later, nobody understands the AI-generated code. New features take longer than rewrites. The first engineer you hire wants to throw it all away — and they're not wrong.

Don’t worry

We keep what works. Your Figma mocks, your v0 / Bolt / Lovable prototype, your ChatGPT spec — we bring all of it forward. Properly built, not from scratch.

§ 02
Flagship engagements

Two ways to get to production.

Flagship
01Production Review
1 week · fixed fee
A senior read of your prototype.
Best for AI demos and v0 / Bolt / Lovable / Cursor builds heading for real users

We audit security, scalability, data integrity, cost, and observability. Output is a written plan: what to keep, what to harden, what to throw out — with a sprint shape that gets you to production.

Flagship
02Production Sprint
4–8 weeks · scoped
We take it from working to shipped.
Best for Teams ready to harden the AI feature, agent, or product they already prototyped

Senior hands in your repo. Auth, evals, rate limits, observability, migrations, the platform around the demo. PRs every week. Fixed scope, fixed timeline, hand-off or keep-running at the end.

Different shape in mind? Get in touch.

hi@ionite.co →
Senior engineers, with prior delivery at
§ 03
Selected work

What we’ve actually shipped.

01

AI agents

Production agents with tools, evals, guardrails, observability. Not chat demos — agents that act on your stack and your data.

Shipped forSwavy
02

SaaS, zero-to-one

Full product surface: auth, billing, admin, payments, transactional email. Built to scale before it has to.

Shipped forSwavyTriplancer
03

RAG & knowledge

Retrieval over your corpus — ingestion, chunking, hybrid search, re-ranking, evals. Multilingual where it matters.

Shipped forTriplancer
04

Marketplaces

Two-sided platforms with AI matching layers. Intent extraction, semantic match, re-ranking by deal data — built on your existing warehouse.

Shipped forTradeHub
We also ship
Automations·Ads infra·Platforms·Internal tools
§ 04
Method

Five phases, applied to every engagement.

01

Brief

You tell us what's in your head. We listen, then write it down.

02

Plan

Scope, pricing, timeline — in writing, before any code.

03

Build

Senior hands. PRs in your repo, your stack, your cloud.

04

Ship

To staging. To prod. With evals and observability built in.

05

Run

Hand-off, or we keep running it. Your call.

Contact

What are you trying to make production-ready?

Pick a shape and tell us the rest. You’ll get a first read from our assistant in a moment, then a real reply from Ahmed within a day.

Whatever you already run, we ship in.
No rip-and-replace.

Or book a call directly

Rather email? hi@ionite.co · cal.eu/ionite →