Agency AI, with receipts.
Every agency is selling AI delivery now. Almost nobody publishes what running AI agents actually looks like: what a task costs, how often "done" is true, what breaks. I run my companies through a fleet of agents I built myself, and I publish the numbers, failures included.
The one line
AI agents don't fail by being dumb. They fail by saying "done" when it isn't.
Read Agent Receipts v1, the data behind itThree talks
Each one is built from my own logs, not a vendor deck. They work as a keynote, a webinar, or a 30-minute podcast conversation.
Your AI agent said done. It lied.
- The pain
- Agencies sell AI delivery, and agents report work that never shipped.
- The question
- How do you know an agent’s work really happened?
- The answer
- Approval gates and read-back proof. Taken from my own ledger: 585 tasks marked done since October 1, one with enforced proof, and a 302-failure audit of my own sessions.
- The outcome
- AI retainers without the client blowups.
What an AI agent really costs per client
- The pain
- Token bills climb as agencies scale AI work, and most can’t say what one task costs.
- The question
- What does one agent task cost, and how do you price it?
- The answer
- The honest version: what I can measure, what I couldn’t until I wired it up, and the routing that keeps cheap work on cheap models.
- The outcome
- AI retainers with real margin.
I open-sourced my marketing agents. Here’s what people still pay for.
- The pain
- Clients think they can build it themselves with ChatGPT.
- The question
- What will they still pay an agency for?
- The answer
- Give the system away. Sell the install, the approval gate, and the memory per client, because that’s the part that breaks.
- The outcome
- Inbound build work instead of a price fight.
Bio
Connor Gallic runs his companies through a fleet of AI agents he built himself, with a human approval gate on anything that leaves the building. He built KaiCalls, an AI phone receptionist that has answered over 9,000 calls for small businesses, and open-sourced kai-cmo-harness, the marketing system behind it. Before that he ran marketing for all 18 OpenRoad dealerships in New Jersey and built the player marketplace for the video game Kompete. He publishes what his agents get wrong, not just what they get right.
Get the next Agent Receipts.
Real numbers from a working agent fleet, including what broke. Quote them, argue with them.