Package
AI Feature Integration
Drop AI into your product, properly
Add a well-designed AI feature to your existing app: streaming, cost-aware, safe, and actually useful.
Deliverables
- Scoped AI feature in your existing app
- Streaming UI with graceful fallbacks
- Prompt engineering + guardrails
- Cost monitoring + rate limiting
- Integration tests for happy path
- Documentation for your team
Best for
- Products adding their first AI feature
- Teams replacing a brittle prototype
- Startups needing cost-aware inference
- Founders who tried Bolt-on chatbots
Stack
- Vercel AI SDK
- OpenAI / Anthropic
- Next.js
- Zod
- Postgres
Process
How we deliver.
01
Discovery
Days 1–2
Map the job-to-be-done, define success metrics, and audit your existing stack.
02
Prototype
Days 3–5
Working integration in a branch with streaming, guardrails, and cost caps.
03
Polish & ship
Days 6–10
Error states, monitoring, team docs, and production deploy.
Add-ons
- 01
RAG pipeline
Document ingestion, embeddings, and retrieval-augmented generation.
$1,200
- 02
Eval suite
Automated quality checks for prompt outputs.
$800
- 03
Multi-model routing
Fallback chains and cost-optimized model selection.
$600
FAQ
Common questions
Which AI providers do you support?+
OpenAI, Anthropic, Google, and open models via Hugging Face or Replicate. We pick based on your use case and budget.
How do you handle costs?+
Rate limiting, per-user caps, and model selection tuned to your budget. We set up monitoring so you're never surprised.
Can you work in our codebase?+
Yes. We slot in via PRs, adopt your conventions, and document everything for your team.
Ready to book this package?
Tell us about the project. We reply within one business day.