A tailored strategy to solve your most critical challenges and unlock growth.
We've taken the time to deeply understand your current situation. Here's what we identified.
They work on the happy path, then fall over the first time an API times out, a webhook fires twice, or an LLM hallucinates a tool call. Production reliability is an architecture problem, not a prompt problem.
Teams ship agents into broken processes and amplify the chaos. Without auditing the current workflow — where data lives, where it leaks, what's already fragile — you're automating noise.
Direct API calls, no retries, no idempotency, no observability, no cost ceilings. The agent runs fine until your OpenAI bill triples or a silent failure costs a customer. Maintainability dies on day 30.
Before I write a line of agent code, I audit your current stack: where the data lives, where the gaps are, which workflows are ready for automation and which need refactoring first. Then I design the agent topology — state, error boundaries, observability, cost controls — and only then do we build. The result is a system your team can actually own, extend, and trust in production.
Everything you need — built, delivered, and ready to run.
A clear, phased approach so you always know what's next.
Map current stack, identify weak points, deliver prioritized roadmap.
Topology, state, observability, cost design — reviewed and signed off before build.
Backend services, LLM integration, integrations, monitoring — deployed and live.
Docs, dashboards, runbooks. Optional retainer for evolution and optimization.
A visual breakdown of your build — from first touch to close.
Send me a few times you're free this week. We'll start with a 30-minute discovery call — I'll come prepared with questions about your current stack and the workflows you most want to offload.