Full-stack with AI integration
Most AI demos never make it to production because the hard part was never the model — it's the integration: your data, your auth, your edge cases, what happens when it's wrong. We build automation, voice agents and chat interfaces as production software from day one, with monitoring and fallbacks included, not bolted on after launch.
This is for you if…
- Teams that want to automate a specific, repetitive workflow
- Businesses that want a voice agent or chatbot answering real customer questions from their own data
- Companies that tried a no-code AI tool and hit its ceiling
What usually brings people to us
- An internal workflow is manual, repetitive, and eating hours every week
- A chatbot pilot worked in a demo but nobody trusts it with real customers yet
- The model is the easy part — nobody has scoped what happens when it fails or hallucinates
- Customer data needs to stay governed, auditable and never silently leave the system
Deliverables
Process
- 01
Discover
We map the real workflow end-to-end, including the edge cases and failure modes nobody mentions upfront.
- 02
Design
Decide what the model should and shouldn't be trusted to do alone, and where a human stays in the loop.
- 03
Build
Integrate against your real data and systems, with weekly demos against real inputs, not scripted ones.
- 04
Launch
Monitoring and guardrails verified under load, then a gradual rollout rather than a single cutover.
Typical stack for this work
Questions about full-stack with ai integration
Which AI providers do you work with?
We default to OpenAI and the Vercel AI SDK because they give us the most reliable production tooling today, but the integration layer is built so the underlying model can be swapped if your needs or budget change.
What happens when the AI gets something wrong?
That's scoped before we write a line of integration code: guardrails to catch likely failure modes, a clear fallback (often a handoff to a human or a safe default), and monitoring so you see it happening — not a customer complaint as your only signal.
Is this a bolt-on to our existing app, or a new build?
Either. If you already have a full-stack application, this integrates into it. If not, it's usually scoped alongside Full-stack Application Development so the AI feature isn't the only production-grade part of the system.
Often paired with