what we've shipped.

Ollie isn't a wrapper — it's the actual control plane behind everything we ship. five specialist agents (main, research, content, comms, ops) plus a Voice Agents tier for receptionist work, all running on the Claude Agent SDK with a shared "business brain" of versioned brand voice, ICP, and sequence playbooks. plug-in adapters for Cal.com, Twilio, ElevenLabs, AgentMail, Composio (Gmail/Calendar/Drive/Notion/Slack/HubSpot). human checkpoints, review queue, live event stream, full memory + cost telemetry. when we sell agentic infrastructure, this is what we're selling — proven on us first.

two-model architecture: Sonnet handles the conversational turns, Opus generates the final readout. session state in KV with 30-minute TTL. hard 12-turn cap. voice-eval'd against 20 fictional scenarios before launch. cost: ~$0.07 per completed session.

solves a real problem Mike lived for 20 years: every SE rebuilds workshop content from scratch for every new product. LabSmith automates the 80% that's structural so the SE can focus on the 20% that's customer-specific.

not a toy demo — this is the system we use to run our own marketing. every skill is a scoped agent with a defined trigger, input schema, and output format. the best proof that AI automation works at business scale is that we bet our own pipeline on it.

can't name the company or show the code — it was internal tooling at a previous employer. including it because it's the same kind of operational automation we build for clients: take a messy process that depends on someone noticing a problem, and replace it with a system that surfaces the problem before anyone has to notice.

these aren't brochure sites with a chatbot bolted on. the AI is the site. job-fit analysis, interactive Q&A, peer-review data, expandable context — all running against live models. we built these for ourselves before we built for anyone else.

this wasn't a consulting engagement — John built the entire GTM motion from zero. ICP definition, messaging framework, sales process, comp model, and the actual software tools the sales team uses on discovery calls. the trapped cash estimator lets prospects enter their billing metrics and instantly see a personalized projection.

built specifically for the kind of small field service businesses JNOW works with. multi-tenant architecture with row-level security so each org's data is fully isolated. mobile-first UI with optimistic updates for fast performance on spotty connections — because technicians are in crawl spaces, not conference rooms.

a working example of the document processing pattern we deploy for clients. takes any inspection report format, extracts every issue, classifies by severity, estimates cost ranges, and generates a branded summary. the exact same pipeline we'd build for an insurance company, law firm, or property manager — different documents, same architecture.

end-to-end mobile app shipped to both app stores. sub-500ms voice transcription latency. AI-powered semantic tagging surfaces related ideas before they get lost. offline-first architecture with Supabase sync when connection restores. proves we can build and ship across platforms, not just web.