Why this is in the vault
Framed around a "ChatGPT Work For Writing Businesses" bootcamp pitch, but the body carries three concrete, reusable automation specs (event → inputs → output) for service-business admin — lead follow-up, meeting confirmation, and loose-ends-to-tasks — each with a copy-paste prompt template that explicitly gates AI output behind human approval before sending or updating a system of record.
The core argument
Repetitive service-business admin (follow-ups, meeting confirmations, CRM updates, post-call recaps) isn't individually hard, but it compounds across a client roster into hours lost weekly. The fix isn't hiring or heroics — it's naming three things per workflow: the triggering event, the information the AI needs, and the finished draft or task list it should produce. Three worked automations:
- Follow up with every lead — after a sales call, AI drafts a summary (problem, solution discussed, open questions, agreed next step) plus a personalized follow-up email, held for human approval before sending. A second workflow checks for no-reply after 3-5 days and drafts a nudge.
- Confirm every client meeting — reviews tomorrow's calendar and drafts a confirmation per meeting (time, link, purpose, prep items, unresolved action items from the last conversation), again held for approval.
- Turn loose ends into tasks — scans emails, meeting notes, and project records for unfinished commitments, unanswered questions, and approaching deadlines, and proposes a task list (owner, due date, source, consequence of leaving it) before touching the PM system.
Every template ends with an explicit "do not send / do not add until I approve" instruction — the piece treats human-approval-before-action as the default contract for this class of automation, not an afterthought.
Mapping against Ray Data Co
This is close to a spec for Ray's own operating pattern, and it's a useful outside confirmation of one specific design choice: CLAUDE.md hard rule #... (no autonomous external email send — Ray drafts, founder sends) and the broader "auto mode: default to action on reversible work, gate on irreversible" posture already match automations #1 and #2 almost exactly (draft-then-hold-for-approval on anything that leaves the building). Automation #3 (loose-ends-to-tasks) is the more useful gap check: RDCO already routes multi-item queues to the Notion board (feedback_queue_work_to_the board), but this note's "scan email + meeting notes + project records for unfinished commitments and propose a task list with owner/due-date/consequence" is a sharper, more systematic sweep than anything currently scheduled — it's closer to what /check-board or a new nightly pass should be doing proactively rather than reactively picking up items the founder already surfaced. Worth a candidate for /curiosity or a small skill: a "loose-ends sweep" that proposes (not commits) task-board entries from the week's email/calendar/meeting-notes residue.
Related
- [[2026-07-15-write-with-ai-snowball-automation-framework]]
- [[2026-03-01-write-with-ai-cowork-scheduled-tasks]]
⚠️ Sponsorship
This issue is itself a promotional vehicle for Write With AI's own "ChatGPT Work For Writing Businesses" live bootcamp (opens with the pitch, closes with a bootcamp CTA and links to the authors' other products: Ship 30 for 30, Premium Ghostwriting Academy, Typeshare, Ghostbase). No third-party paid sponsor — this is house self-promotion, flagged per the sponsorship-disclosure convention (sponsor_entity: self) even though sponsored here really means "self-promotional," not "paid by an external sponsor."