LLM integration for product teams — RAG, agents, cost control
“We do AI” is useless. We wire models into your product with retrieval, tools, evals, rate limits, and a unit-economics story you can show finance.
Who it’s for: For product/eng teams shipping AI into an existing codebase — not for folks who want a chatbot logo on a homepage.
We won’t take this if: there’s no source-of-truth data, no engineering owner, or the brief is “sprinkle ChatGPT somewhere.”
Scope: RAG + tooling + eval harness vs wrapping a chat widget
What changes when this lands
Grounded answers
RAG over your docs/DB with citations — so the model isn’t inventing SKUs or policies.
Agents that call tools safely
Function calling with allowlists, timeouts, and human approval where money moves.
Evals before marketing claims
Offline + online eval sets so quality regressions are visible.
Cost & latency budgets
Caching, model routing, and per-tenant limits — not surprise OpenAI invoices.
Roles named. Steps clear.
Use-case + risk pass
What the model must never do; PII; compliance notes.
Data & retrieval design
Chunking, embeddings, refresh strategy.
Prototype slice
One high-value flow in staging with tracing.
Evals & hardening
Failure modes, red-team prompts, fallbacks.
Productize
UI, permissions, observability, billing usage.
Operate
Cost dashboards and refresh cadences.
One constrained engagement
In-product assistant (NDA)
Support burden and docs sprawl; team wanted answers inside the app.
Must cite sources; no hallucinated pricing; weekly cost cap.
Hybrid RAG over CMS + product DB; tool calls for account actions with confirmation.
- Deflected a material share of tier-1 tickets
- Predictable $ / 1k queries after caching
What you actually get
- →Architecture diagram and threat notes
- →Working integration in your stack
- →Eval suite + baseline scores
- →Ops runbook (keys, quotas, failover)
- →Optional support automation follow-on
Pilot slices often $10k–$25k. Broader agent platforms are phased. We bid after seeing your data and latency constraints — not from a blog template.
India–US dual team available for overlap hours. Exact quotes follow discovery — no fake “instant calculators.”
Objection killers
OpenAI only?
We pick models for the job — OpenAI, Anthropic, open weights behind your VPC when needed.
Will our data train the model?
We configure providers and contracts so customer data isn’t used for training unless you explicitly want that.
How do you avoid hallucinations?
You don’t “avoid” them magically — you retrieve, constrain tools, refuse when evidence is missing, and measure.
Ready to talk scope?
Bring constraints. We’ll bring a timeline and a cut list. Free discovery call — response within 24 hours.
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