OpenAI integrations for products that need the latest GPT model surface — function calling, structured outputs, embeddings, vision, and the Realtime API. Built with the operational discipline that turns AI demos into AI products.
OpenAI's API surface evolves faster than any other vendor's. We track the changes (Responses API, structured outputs, agent SDK) and ship with the current primitives — not the ones that were current when the project started.
OpenAI-powered features that ship reliably and stay within the cost envelope predicted at proposal stage.
Concrete deliverables — not adjectives. Each engagement scopes which of these are in play and what success looks like for them.
Drawn from sales calls, not SEO filler. Want a question added? Drop it in the form on this page — we update from real enquiries.
GPT-5 for high-stakes reasoning. GPT-4o for general-purpose with cost discipline. Smaller models (GPT-4o-mini, o-class) for batch or latency-sensitive paths. We benchmark and route.
Always for any output that downstream code parses. Hand-written JSON parsing of LLM output is a 2023-era pattern.
Vercel AI Gateway for multi-provider, observability, and failover. OpenAI direct only when the gateway adds latency we can't afford.
Token budgets per request type, prompt-caching where supported, embedding-cache reuse, and CI cost-regression tests. AI features sneak past finance otherwise.
Retrieval-augmented generation and LLM-powered features built for production — vector search, chunking strategy, evaluation, observability, and the guardrails that make non-deterministic systems defensible to legal, security, and finance.
Claude API integrations for products where Anthropic's models earn the seat — long-context reasoning, code understanding, tool use, and computer use.
The data engineering that makes AI honest and analytics defensible — warehouses, ELT pipelines, dbt, semantic layers, and the dashboards executives actually use to decide things.
