01 / The business problem
Growth created work nobody had planned for
In under three months, the creator went from a standing start to a fast-growing audience across several platforms. Every comment needed attention, every post needed a different format, and the same questions kept returning without a record of what the creator had already answered.
The creator spent the hours that should have gone into making content on re-answering questions and guessing what to publish next.
02 / The manual process before
Repetitive work, one item at a time
- Pick the next topic from memory, without a record of what the audience had asked.
- Write and format every blog article from scratch.
- Answer the same questions again across new videos and posts.
- Watch competitors and trends by hand, when time allowed.
- Keep the site current on a slower platform with third-party scripts and a cookie banner.
03 / The goal
Remove the repetition and the guesswork
04 / Tools used
A small stack, fitted to the job
The site is a static build on a managed edge platform. A small server-side tool reads the platforms’ own comments through read-only APIs. Scheduled AI agents draft against a fixed set of rules. The stack goes no further than the work required.
05 / How the workflow runs
Two loops. Each ends at a person
One review queue for every new comment
One agent keeps a single FAQ current as new questions arrive. A second drafts replies to roughly 90% of new questions from that FAQ. The creator receives one review queue, approves what reads right, writes anything missing, and publishes the batch.
- Comments
Read-only tooling collects new comments across platforms
- FAQ
One agent keeps a single FAQ current
- Replies
A second agent drafts about 90% from the FAQ
- Daily review
The creator approves, edits, or writes the rest
- Posted
Approved replies go out in one batch
Signals become a complete publishing kit
The Researcher scores candidate topics using audience questions, competitor posts, and wider trends. A person chooses the topic and adds real details. The Drafter then prepares the article, video cue sheet, title, description, tags, thumbnail brief, teaser, clips, and hooks for approval.
- Signals
Own comments, competitor posts, and trends
- Researcher
Scores and ranks candidate topics
- Review
A person picks the topic and adds real details
- Drafter
Drafts the article, video script, and publishing kit
- Approve & publish
A person reviews before it goes live
06 / The result
The repetitive work now fits into one daily review
The site scores 100 on standard page-speed tests on mobile and desktop, shows no cookie banner, and hands no visitor data to advertisers.
The creator now clears drafted replies in a 10-to-15-minute daily review. The same recurring questions feed the topic backlog, and a person still approves every published reply and everything the Drafter produces.
How these are counted: the before figures are the operator's own timings of the manual work; the after figures are the time the daily review and a single drafting run take now. The 90% is the share of incoming questions the Drafter produces a usable reply for, measured against the maintained FAQ. These come from one workflow, not from an average across clients.
07 / What we learned
Automation removed the repeated work and left every decision with a person
Decide from the evidence
The maintained FAQ surfaced a contradiction between two published answers. A person settled it; future topics now come from audience, competitor, and trend evidence.
Push fixes into the rules
When a drafting agent drifted off voice, the fix went into its rules so the same drift did not return on the next run.
Leave the right parts human
Filming and on-camera delivery stayed entirely with the creator. The system handles the scripting and publishing kit around that work.
08 / Where this fits another business
The listening half transfers directly
Any business answering the same questions at volume can mine what people ask, draft the repetitive response, and hold it for a person to approve.
That order matters: the FAQ existed before any agent drafted a reply from it.
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