AI ENGINEERING
AI features that keep working after real users arrive.
Agents, retrieval and LLM pipelines, built with evals and tracing from the first release. Added to the product you already run.
IS THIS FOR YOU?
This is for you if
- The model call works in testing and breaks on messy real input.
- A customer got a wrong answer and nobody can trace why.
- Token costs grow faster than usage, and nobody can say where they go.
WHAT YOU GET
How do you add AI to an existing SaaS without rebuilding it?
Agents and workflows
Intent parsing, tool calls and confirmations against live data.
Retrieval (RAG)
Search over your documents and data, with sources.
Evals before release
A fixed test set that catches a prompt or model change that makes output worse.
Langfuse tracing
Every wrong answer traced to its prompt, retrieval step and response.
Cost controls
Token spend broken out by feature, plus caching and routing to smaller models.
No lock-in
Providers sit behind an abstraction, often OpenRouter, so swapping one is a config change.
PROOF
Proof
ZapBot: 71% booking conversion
A conversational booking agent on the live ZapBook platform. It parses date, time, party size and activity, checks availability in real time, and syncs to GoHighLevel CRM.
71% booking conversion
under 90 sec to confirmed booking
3 months to production
WaterUp
An AI report builder for US water utilities' Consumer Confidence Reports, with 13+ templates, anomaly flagging and RAG answers to compliance questions. In beta: 2.5 months to production, under 4 hours per report, from days.
Read the case studyProphic
Our own AI product. Brief in, scoped and priced proposal out. Under 1 hour per deal, down from 3 to 5 days.
Read the case studyHOW IT RUNS
How it runs
01
Readiness
Week 1
Data, guardrails and success metric agreed. Eval set drafted.
02
Pilot
Weeks 2-5
One real workflow, scored by evals, traced in Langfuse, signed off by you.
03
Harden & scale
Week 6+
Fallbacks for rate limits and outages, cost dashboards, rollout.
PRICING
AI-Native MVPs run $10K to $25K over 6 to 12 weeks. AI Feature Sprints start from $6,000. AI Reliability Audits are $3,500.
See pricing →FAQ
Questions about production AI engineering.
Whatever fits the task, the latency budget and your compliance rules: Claude, OpenAI and Vertex AI, usually routed through OpenRouter.