All work
AI AgentsOpen source2026
Production AI agent workflows
Four business agents where the LLM does the reading and deterministic code does the checking: invoices, leads, content and support.
Scope something similarCode walkthrough available on request
The problem
Most 'AI automation' breaks the moment a number is wrong or a document is scanned sideways, because nothing verifies what the model produced.
What we built
- Invoice & document extraction agent: LLM extracts fields, code re-checks the arithmetic, OCR handles scans, and anything that fails validation goes to a human review queue with the exact reason
- Lead qualifier: enriches inbound leads from their website, scores them against an ideal-customer profile with written reasoning, and refuses to fake personalisation when it has nothing specific to say
- Multi-agent content pipeline: researcher, writer, editor, quality gate and SEO formatter, each with a strict contract and a bounded revision loop
- RAG support agent: answers grounded in your knowledge base with citations, self-scored confidence, and escalation to a human before an uncertain answer is ever sent
Need something like this?
We'll tell you honestly whether your case is a two-week build or a three-month one — and what it would cost — before you commit to anything.
