
AI Integration Sprint
Most teams have a product that needs AI inside it, not next to it. The AI Integration Sprint ships LLM features into your existing codebase in 14 days, with an eval harness, cost tracking, and a fallback strategy so you can measure quality and spend from day one. We work directly in your repo, your stack, your CI. You keep the code.
Everything you need, nothing you don't.
Comprehensive deliverables designed for shipping, not for sandbagging.

- 01
LLM provider integration (Claude, OpenAI, Gemini)
- 02
Retrieval-Augmented Generation (RAG) pipeline
- 03
Tool Use / function calling for live data
- 04
Prompt caching to reduce per-call cost
- 05
Streaming responses with backpressure
- 06
Eval harness with test cases you control
- 07
Cost-per-task tracking and per-user limits
- 08
Fallback model + graceful-degradation strategy
Technologies we ship with.
A working toolkit, not a buzzword list. Every tool below is in active rotation.
- Anthropic Claude
- OpenAI
- Google Gemini
- Vercel AI SDK
- LangChain
- pgvector
- TypeScript
- Next.js
A systematic approach that ships exceptional work.
- 01Day 0 - Brief
Repo walk-through, eval criteria, success metrics. Calendly call.
- 02Days 1-4 - Spike
Working prototype on a staging branch. Eval harness scaffolded.
- 03Days 5-11 - Build
Production-quality integration. Cost tracking, fallback, observability.
- 04Days 12-14 - Ship
Code review, docs, hand-off. Eval harness handed over with the repo.
Transparent pricing, no surprises.
Fixed-scope, fixed-price 14-day Sprint. 50% upfront, 50% on delivery.
Questions, answered straight.
- Which AI providers do you integrate with?
- OpenAI, Anthropic, and Google Gemini for general-purpose work; specialty providers (Voyage, Cohere, Replicate, ElevenLabs) where they win on cost or quality. We build provider-agnostic so switching models later is a config change, not a rewrite.
- How do you handle hallucinations and bad outputs in production?
- Retrieval-augmented generation for anything fact-bound, structured output (JSON schema) for anything machine-consumed, a confidence threshold for anything auto-shipped, and a human-in-the-loop queue for everything else. We do not pretend LLMs are oracles.
- How fast can you start?
- Most engagements start within 1-2 weeks of the discovery call. If you need to start sooner, tell us on the call — we keep a small amount of capacity reserved for urgent work and will be honest about whether we can meet your date.
- Do you work with companies outside Canada?
- Yes. Creative Brain Inc. is based in Brampton, Ontario but works across North America, the EU, and AU. We bill in CAD, run async across time zones, and overlap a few hours daily with your team for live work.
Let's build something extraordinary.
Transform your vision into reality with our expert ai integration sprint services.