AI workflows,
production-grade and code-first.

Repetitive work like lead routing, inbox triage, daily briefings and weekly reporting, turned into automations that run on a schedule. Written as code in your repo, not assembled in Zapier.

• Runs on infrastructure you already own. No extra subscriptions.
• Validated outputs, so downstream systems don't break on bad data
• You own the code: versioned in git, debuggable, yours to change
• Two weeks of post-launch support

An MCP server lets Claude work directly with your CRM, database and internal APIs, with no copy-pasting context into a chat window. The AI reads and writes your systems through typed, permissioned actions.

• Your APIs, database queries and tools exposed as actions the AI can take safely
• Every request signed and verified, so nothing untrusted reaches your data
• A reusable template repo your team can extend without me
• Optional Claude Code skills, so your team installs the workflow with one command

For Orbit Dental I shipped a code-owned AI voice agent on Supabase Edge Functions that calls and qualifies new leads. A set of AI agents that handle multi-step work: research, planning, execution and review, with cost limits, error recovery and a record of every decision.

• Specialized agents that hand work to each other, not one bloated prompt
• Hard spend ceilings per task and per user, so a runaway loop can't blow your bill
• A log of what each agent did, why, and what it cost
• For deeper concurrency work, see Agentic OS

A test suite for your AI features: real inputs, expected outputs, scored on every code change. It catches the regression before it ships, not after a customer hits it.

• 30 to 100 test cases written from your real product traffic, not invented
• Every change runs the suite. If quality drops, the deploy is blocked.
• Prompts treated like code: versioned, reviewable, rolled back when needed
• You keep the test harness and can extend it