AI implementation & agent workflows
Production AI that does real work (document review, triage, drafting) with humans on the edge cases.
Not chatbots for the sake of chatbots. We build AI systems that take over specific, well-defined work: verifying documents against requirements, triaging inbound messages, drafting responses, classifying and routing. Built on the Claude / Anthropic API and modern agent tooling, designed so humans review only what matters.
The difference between an AI demo and an AI system is the boring engineering around it: strict output formats, verification against ground truth, graceful failure, and a clear line for when a human takes over. That's the part we're good at.
Recent work includes an Airtable-native AI agent that verifies CPA compliance letters against a strict template and returns pass/fail verdicts (prompt engineering, model selection, and output validation included), and a custom WordPress plugin built directly on the Anthropic API.
We also make your team faster with AI, not just your systems: we run Cursor and Claude Code workshops, set up AI-driven pull-request reviews, and guide org-wide rollouts so the tools actually get adopted instead of gathering dust.
What you get
- AI agent workflows built on the Claude / Anthropic API
- Document verification and compliance-checking pipelines
- AI triage and routing for inboxes, tickets, and intake queues
- Custom AI features inside the tools you already use (Airtable, WordPress, Slack)
- MCP tooling and integrations for agent workflows
- Team enablement: Cursor and Claude Code training, AI-driven PR reviews
Good fit when
- Your team spends hours on document review, intake, triage, or repetitive drafting
- You've tried ChatGPT ad-hoc and want something reliable, repeatable, and wired into your systems
- You want your developers or ops team trained on AI tooling that sticks
Questions
Which AI models do you work with?
Primarily the Claude / Anthropic API, plus OpenAI and open-source models where they fit better. Model selection is part of the engagement: we benchmark against your actual documents and tasks, not vendor marketing.
How do you keep AI outputs reliable?
Strict structured outputs, validation against known-good examples, confidence thresholds, and human review queues for edge cases. If a workflow can't be made reliable, we tell you before you pay to build it.
Can AI really handle compliance-sensitive work?
As a first pass with human oversight, yes. That's exactly what our CPA compliance-letter agent does: the AI handles the repetitive verification, humans see a clean pass/fail verdict and review only failures and edge cases.
Talk through ai implementation & agent workflows for your business.
A free 30-minute call is usually enough to tell whether this is the right move, and we'll say so honestly if it isn't.