The Agentic Tribe

We automate operational processes that are too complex for a script and too repetitive for your team. You get a typed agent graph in production: conditional routing, correction loops on critical nodes, and a guardrail before any irreversible action (email sent, ERP write, payment). Native checkpointing means a crashed run resumes at the last stable node instead of starting over. Delivered with a resilience test suite, graph documentation, an incident runbook, and Langfuse dashboards on traces, latency and cost per node. Typical outcome: 80 to 95% less operator time on the automated process.

Bespoke SaaS products where AI is a native component, not a feature bolted on after launch. We ship the full product: data model, application, LLM layer, deployment. Model routing is decided per task, so classification runs on a cheap model and reasoning runs on a capable one, and cost per feature stays visible in Langfuse from day one. Every critical output goes through validation before it reaches a user. Hosted on European infrastructure when data residency is a constraint.

Senior reinforcement inside your team, on your codebase, on your tooling. We join an existing project to unblock the parts that stall: agent orchestration, retrieval quality, LLM cost that grows faster than usage, evaluation that nobody set up. Weekly commitment, no minimum engagement beyond the first week. Your team keeps ownership of the code and we document what we touch so nothing depends on us staying. Minimum 2 days.

Two days on site, for groups of 4 to 12, built around your actual use cases rather than generic slides. Five themes: agentic systems fundamentals, operational prompt engineering with structured outputs and guardrails, agent graph architecture with LangGraph, integration into existing ERP and CRM systems, and LLM cost monitoring with Langfuse. Your engineers leave able to build and ship on the same stack we use in production. Materials provided, travel and accommodation billed separately.