Work

Proof, not promises.

A system running in production today, demo builds that show how we approach common problems, and AI products we have built and shipped.

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Case study

In production today.

Case study

An AI assistant that knows the firm’s work.

A US grant-writing and advisory consultancy

Answers from the firm’s own documents and email, and names its sources
Keeps each client’s material in its own private channel
Hands back Word documents in the firm’s house style

Read the case study

documents it answers from: 3,346
searchable passages: 26,894
test passages from the right client, 0 from any other: 20 / 20
between checks for new files and email: 3 min

Measured on the live system on 17 Sept 2026; the client-separation test was run on 29 July 2026.

Demo builds

How we'd approach common problems.

Sample builds that show how we put these systems together. They are demonstrations, not client work.

Sample workflow diagram: form submitted, Claude scores the lead, HubSpot upserts the contact, then a Slack alert and a welcome email; errors retry three times and alert the owner.

Demo build Leads & follow-up

Lead to CRM automation

A sample workflow: when a website form comes in, Claude scores the lead, the contact is created or updated in HubSpot with no duplicates, the team gets a Slack alert and the lead gets a welcome email. If a step fails, it retries three times and then alerts the owner.

n8n
Claude
HubSpot
Slack
Gmail

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Sample call flow diagram: incoming call, voice agent answers, checks Google Calendar and books, logs the caller in GoHighLevel, sends an SMS confirmation and a daily email summary.

Demo build Operations & scheduling

After-hours AI receptionist

A sample call flow: a voice agent answers the call, checks open slots in Google Calendar and books the appointment, logs the caller in GoHighLevel, texts a confirmation, and emails the owner a daily summary of every call.

Vapi
Google Calendar
GoHighLevel
SMS
Email

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Selected work

Products we've built and shipped.

AI sales agents, AI advisors that search course materials, and legal monitoring across all 50 states. Live products our team built and shipped.

Fastyr’s earlier landing page: the headline “Instant Sales Team. Zero Hiring.” beside a laptop showing the campaign dashboard.

Product build AI sales agents SaaS

Fastyr AI

Fastyr builds AI agents that work as members of a company’s team. We built the frontend of its AI sales platform from Figma designs: React and Next.js, GraphQL with Apollo, a Storybook component system, and complex API integrations.

The screen shows an earlier version of Fastyr’s site.

React
Next.js
GraphQL
AWS

Live product (opens an external site)

OGE admin screen for configuring AI advisors: controls for teams, MCP servers and document search above a system-prompt editor.

Product build University wargaming

OGE AI Wargaming

A wargaming platform for university courses. Students consult AI advisors that pair role-specific personas on Claude and OpenAI with search over their course materials, and negotiate in real-time chat. We built the full stack: the advisors, the retrieval pipeline, MCP tool integrations and the real-time layer.

Claude
OpenAI
RAG
MCP
Django Channels

Live product (opens an external site)

Product build Legal monitoring

OmniLegislation

Reads new bills, regulations and court opinions from all 50 states and federal sources around the clock, and sends plain-English digests of the ones that matter. We led the AI engineering: the monitoring engine, the summarization pipeline and the alerts.

The screens show an earlier version of the site.

Python
LLM pipelines
Next.js

Live product (opens an external site)

Your turn

What would you want off your plate?

Tell us about the work that keeps piling up. We'll tell you honestly whether a system would help.

Book a free discovery call Get a free workflow check

Free · 30 minutes · no obligation