Proof
We show our own companies.
These are real businesses we operate AI-first — not client logos we can't verify. The playbook we teach is the one we run every day, in our own P&Ls.
Skin in the game
Most consultants show client logos. We show businesses we own.
Every playbook we teach, we run in our own companies first. If it doesn't hold up in our operations, we don't sell it. These aren't engagements we bought access to — they're ours, right down to the audit tool you're about to use.
3
companies we operate AI-first
1
operator per business, not a team of them
0
client logos we can’t stand behind
The receipts
What AI-first actually changed.
PurposeLife
AI Coaching Platform
Career & life coaching that used to need a $150/hr human in the room.
1 founder + AI agents
run the entire platform
Before
- ✕Coaching required 1-on-1 human sessions at $150+/hr
- ✕Assessment scoring done manually by trained staff
- ✕Career matching relied on static databases and counselor knowledge
- ✕Scaling meant hiring more coaches linearly
After
- →AI handles entire coaching conversations grounded in PhD research
- →Automated assessment scoring and career matching
- →Platform operates with one founder + AI agents
- →Scales to thousands of users without proportional headcount
Stack: Next.js, Anthropic Claude, Prisma, Vercel, Stripe
What still needs humans: Complex life decisions still benefit from human follow-up. AI handles the 80% — structured coaching, scoring, matching. The 20% edge cases get flagged for human review.
Invown
Proptech / RegCF
Investor relations for a regulated crowdfunding platform.
20 → 100+
investor relationships per person
Before
- ✕Investor outreach: manual research, generic email templates
- ✕Meeting follow-ups: handwritten notes, delayed sends
- ✕Client onboarding: paper forms, back-and-forth emails
- ✕One person could manage ~20 investor relationships
After
- →AI-powered research → personalized investor emails → CRM logging
- →Fathom → Claude → Gmail pipeline for automated meeting follow-ups
- →Automated client onboarding workflows
- →One person manages 100+ investor relationships
Stack: Claude, Gmail API, Fathom, CRM integrations
What still needs humans: High-stakes investor negotiations still need a human. AI handles research, drafting, and follow-up — the operational weight. Final review stays with the team.
Rental Operations
Property Management
Tenant intake and leasing across a multi-market rental portfolio.
24/7
inbound across 3 CT markets, one operator
Before
- ✕Facebook Marketplace inquiries answered during business hours only
- ✕Tenant screening: manual background checks and reference calls
- ✕Showing scheduling: phone tag across multiple properties
- ✕Evenings and weekends meant missed leads
After
- →AI agent handles Marketplace inquiries 24/7
- →Automated tenant qualification and pre-screening
- →Self-service showing scheduling with automated follow-up
- →One person managing multiple properties across 3 CT markets
Stack: Claude, Facebook API, OpenClaw automation
What still needs humans: Lease signing, maintenance emergencies, and complex tenant situations still need a human. AI handles the intake funnel — the highest volume, lowest complexity work.
Be AI First
This audit, actually
The AI-first audit on this very site — the report you can generate right now.
~10 min
from cold intro to a mapped process report
Before
- ✕Traditional audits: days of stakeholder interviews, a slide deck weeks later
- ✕A consultant maps departments and workflows by hand
- ✕Findings hinge on who happened to be in the room
- ✕You wait for a scheduled call just to get started
After
- →An AI agent interviews you and builds your process map live, as you talk
- →Departments, workflows, and pain points structured automatically
- →It recommends the single highest-value place to deploy your first agent
- →A quality report in ~10 minutes — self-serve, any time
Stack: Claude (Anthropic), CopilotKit + AG-UI, Next.js, Vercel
What still needs humans: A human still reviews the recommendation and scopes the build. The audit does the mapping and first-pass analysis — the repetitive part — so our time goes to judgment, not note-taking.
Want your own before / after?
The AI-first audit maps your business the same way — where the manual weight sits, and what an agent takes off your plate.
Start free
See where AI pays off in your business.
Take the AI-first audit — 10 AI-guided minutes that map your operations and show exactly what an agent takes off your plate. No deck, no pitch.