AI · OpenAI

One Peak for OpenAI integration.

Add GPT-powered features to your product without building an AI team — scoped right, shipped fast, and useful on day one.

Discuss your project

Why AI in your product?

Used well, AI is a differentiator; used carelessly, it's over-engineering.

✓User expectation has shifted — people expect smart defaults and intent-aware search
✓Competitive differentiation — genuinely useful AI separates products from alternatives
✓Faster workflows — automate repetitive actions and summarize content in core flows
✓Reasonable cost at MVP scale — the ROI calculus is clear at early-stage volume

Why One Peak?

We scope AI features, not just implement them.

✓We help you decide what's worth building with AI vs. what's over-engineering
✓We've shipped AI-native products — Trainerrr uses an MCP server and OAuth, not theory
✓Product + engineering in one team — strategy and implementation handled together

Our OpenAI services

Practical AI integration that users actually use.

✓AI feature scoping — which features are worth building, which models, predictable cost
✓Chat & completion integration — GPT-powered chat, generation, or structured output
✓Embeddings & semantic search — vector search, recommendations, and RAG pipelines
✓Structured output & function calling — extract structured data or trigger app actions
✓AI workflow automation — background jobs that process or generate content

Frequently asked questions

What's the first AI feature I should build?

Almost always something that saves the user a step they already do manually. We help you find it in the scoping session.

How do you keep OpenAI costs predictable?

Token budgeting, caching repeated queries, and choosing the right model tier — set up before launch.

Can you build a RAG pipeline?

Yes. We've implemented vector search with pgvector and semantic retrieval for document-based products.

Do you handle API keys and security?

Yes. Keys are server-side only — no client-side exposure.

Can AI features be added to an existing product?

Yes. Most AI features are a new API route plus a UI component — we don't need to rebuild anything.

technologies

Our Tech Stack

The technologies One Peak builds with — Next.js, React Native, Flutter, Supabase, and OpenAI — and how we scope and ship products on each.

case-studies

Case studies

Products One Peak has scoped, designed, rebuilt, and shipped under real constraints.

comparisons

Compare Your MVP Build Options

Compare the ways to build an MVP — freelancer vs product team, no-code builders vs custom code — and see which path fits your scope, risk, and timeline.