DIGITAL KITCHEN
AI INTEGRATION

AI Integration Services. Add AI to Software You Already Have.

OpenAI, Claude, Gemini, or open-source. We add AI features to your existing app, securely, with prompt management and observability built in.

AI integration services means adding LLM-powered features (Claude, OpenAI, open-source) to software you already run, without rewriting your stack. We build the integration layer with vendor abstraction, prompt management, observability, and fallbacks. Typical integrations ship in 2 to 6 weeks depending on the feature.

By Christian Vismara

WHAT YOU GET

Everything in the box.

Secure API integration

Server-side keys (never in the browser). Per-user rate limits. Audit logs. The basics done right.

Vendor abstraction layer

Swap Claude for GPT-4 with a config change, not a rewrite. Optional, but cheap to add up front.

Prompt management

Prompts as code. Version control, A/B testing, rollback. Not strings buried in your codebase.

Observability

Cost per request, latency, error rate, hallucination flags. Helicone or LangSmith hooked in by default.

Fallback handling

When the LLM is down or returns garbage, your app degrades gracefully. Cached responses, queue retries, human escalation.

Cost guardrails

Per-user quotas, hard limits, alerts. So one runaway loop does not cost you $5,000 overnight.

THE PROCESS

How we build it.

1

Map use case

A few days. Where does AI add value, where does it just add cost? Honest answer.

2

Pick model

Claude vs GPT vs open-source. Based on quality bar, latency budget, and cost ceiling for your use case.

3

Build + test

2 to 4 weeks. Real integration with your codebase. Eval set against real production data.

4

Ship + monitor

Deploy, set alerts, monitor for 2 weeks. Tune prompts based on real traffic.

STACK

Tools we use.

Claude (Anthropic)GPT-4o / GPT-4o-mini (OpenAI)Gemini (Google)Llama 3 / Mistral (open-source)Vercel AI SDKLangChainHeliconeLangSmith
PRICING

Per-feature, fixed price.

Single AI feature integrations typically land $5,000 to $25,000. Multi-feature integrations or vendor abstraction layers across a larger app: $25,000 to $80,000. Discovery is free.

If your use case is a single API call to OpenAI we tell you to do it yourself. We sell integrations that need more than a copy-paste from the docs.

FAQ

Common questions.

Claude for long-context reasoning and writing quality. GPT-4o for general tasks, vision, lower latency. Open-source (Llama 3, Mistral) for cost-sensitive high-volume tasks or data residency requirements. We pick per use case during scoping.
Depends entirely on volume and model. Typical SaaS AI feature: $0.001 to $0.05 per request. We model the cost upfront so you know what 10,000 users a month looks like before you ship.
Yes. We build an abstraction layer so swapping Claude for GPT-4 (or vice versa) is a config change, not a rewrite. Costs an extra week up front, saves months later when pricing or quality changes.
Rarely. Most "we need a custom model" use cases are actually solved with better prompting, retrieval, or fine-tuning a small model on top of a frontier one. We tell you when training a model is worth it (almost never for SMBs and mid-market) and when it isn't.
Server-side only. Never in the browser. Stored in your secrets manager (Vault, AWS Secrets Manager, Vercel env vars). Rotated quarterly by default. Per-user rate limits enforced server-side. Standard stuff, done right.
FREE SCOPING CALL

Got an app that needs AI?

30 minutes. We tell you which model fits and what it costs to run.

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Our Work

14+ shipped AI products and integrations.