Wire AI into your existing software.
Claude, OpenAI, or a hybrid stack built into your current product. RAG systems, agents, embeddings — production-ready, not science fair demos.
Most AI integration projects fail because they treat the LLM as the product instead of as a feature. We come in, understand what your product actually does, and integrate AI where it improves the user experience or reduces operational cost. Then we ship it, monitor it, and make sure it works in production at scale — not just in the demo.
What you get
Everything you need to ship.
AI features integrated into your existing application
Production-grade prompt engineering and prompt versioning
RAG (Retrieval-Augmented Generation) system if document/data context needed
Vector database setup (Supabase pgvector, Pinecone, or your choice)
Streaming responses for chat or generation interfaces
Token usage tracking and cost monitoring
Fallback strategies between Claude and OpenAI for reliability
Rate limiting and abuse prevention
Evaluation framework for measuring AI output quality
Documentation for ongoing prompt maintenance
Two weeks of post-launch tuning included
Process
How we work.
Audit
Review your current product and data. Identify the 1–3 AI features that will move the most value.
Prototype
Build the AI feature in isolation. Get prompt quality to 95%+ on real data before wiring it into the app.
Integration
Wire the AI feature into production. Authentication, billing/usage tracking, monitoring.
Tuning & launch
Ship to production. Monitor outputs, tune prompts, optimize cost. Handover documentation.
Good fit if
- ✓You have an existing product and want to add AI features
- ✓You know what problem AI should solve, not just "we need AI"
- ✓You want production-quality, not a hackathon demo
- ✓Your team can maintain prompts after handover with our docs
- ✓You care about output quality, not just shipping fast
Not a fit if
- ✗You want a chatbot bolted onto your website (not our work)
- ✗You have not validated the product itself yet
- ✗Your goal is investor demo, not customer value
- ✗You expect AI to handle 100% of cases — that is not how LLMs work
- ✗Budget below $10,000 — proper integration takes time
Ready to start?
20-minute discovery call. We'll scope your project, give you a real timeline, and tell you honestly if it's a fit.