How do you automate client intake and delivery in an AI production business?
On Higgsfield: Claude, acting as operations manager, collects what it needs from the client and sends the ads to generate in Higgsfield.
Without Higgsfield: Put an ops-manager prompt into a Claude project's instructions and link the outreach inbox through Claude's Gmail connector, so a reply saying "interested" makes Claude send intake questions, verify the answers (the company exists in that city, the phone number looks real), save a client profile and generate the free sample. Before delivery, an AI quality-control agent checks each video against the client's profile (name, city, services, phone, any claim that could get the client sued) and returns failures with a reason.
Axis: an LLM agent handles intake and checks … every step by hand
Answers by date: 3 records in 2 sources, newest first; the answers above are the current ones. The advice was refined (2026), never reversed, in these records.
| date | who | answer | source |
|---|---|---|---|
| 2026-07-29 | Adil | Instead of watching every video, Adil runs Nate Herk's AI quality-control agent before delivery: it checks each video against the client's profile (name, city, services, phone, any claim that could get the client sued) and returns failures with a reason. · also in: The 5 Biggest AI Experts on YouTube Helped Me Build an Automated AI Business, Build an AI Ad Agency with Claude + Higgsfield: Add a quality-control gate | Zero to $13,457/Mo: My 24-Hour AI Agency Experiment 00:15:45 |