Generative AI Integration
Embed frontier and open-weights models into your product surface — safely, observably, and on a budget.
- Timeline
- 8–14 weeks
- Engagement
- Senior, embedded
- Pricing
- Outcome-based
- Discipline
- AI & Machine Learning Solutions
⏚ Summary
What this engagement is, plainly.
We integrate generative AI into existing platforms: content generation, customer service, dynamic UX. The hard part isn't the model — it's the retrieval, evaluation, and cost layer that decides whether a feature survives real users.
Problems we solve
Your prototype works in demo but hallucinates under real-world inputs.
Prompt changes ship to production without an evaluation gate, and you've been bitten.
Inference costs scale linearly with users and you need them sub-linear.
⏚ Approach
How we run this engagement.
- 01Phase
Eval-first design
Before we change a prompt, we build the eval. Regression suites, domain test sets, human-in-the-loop scoring where it matters. No PR ships without a verdict.
- 02Phase
Retrieval as a system
Embeddings, chunking, hybrid search, reranking — treated as a first-class engineering problem, not 'add a vector DB'.
- 03Phase
Cost discipline
Routing, caching, model tiering, batch where it works. Every PR's cost impact gets benchmarked alongside its quality impact.
⏚ Deliverables
What you get, signed off.
Evaluation harness + regression suite
Retrieval pipeline (embedding + hybrid + rerank)
Model routing + caching layer
Inference cost dashboard per feature
Safety + abuse monitoring
⏚ Stack we typically use
Tools, not religion.
We pick on workload and team shape, not on fashion. Anything below is a default — swappable when your context demands.
- Anthropic
- OpenAI
- vLLM
- Pinecone
- Ragas
- Cloudflare AI Gateway
Outcome
GenAI features that ship with confidence, costs that are budgeted not discovered, and a team that knows how to iterate without playing whack-a-mole.
⏚ Frequently Asked
About this service, specifically.
⏚ Engagement Initiation
Have a hard problem worth doing once, well?
We take a small number of engagements per quarter. If your program needs serious operators, we'd like to hear about it.