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Saved hooks library

Takes the short videos you save as good hooks and files them into a database with labels each day. Builds a swipe file you can search when writing scripts.

MarketingWorks with Custom GPTs · ChatGPT agent+2Community example
Build your promptSee requirements

What it does

  • Checks your saved video collection daily
  • Adds new items to a hooks database
  • Labels each by hook type and topic

Your approval boundaries

Creates drafts

These actions always wait for your yes:

  • Deleting or editing older entries

You decide what happens next.

More about this workflow

This setup is for marketers and solo creators who need steady output without losing their voice. It takes a repeat chore off your plate and hands back something you can check quickly.

First, it checks your saved video collection daily. Next, it adds new items to a hooks database. Finally, it labels each by hook type and topic. It works with your social APIs and notes app, each on its own login with limited access.

You get the prep work done and waiting for you. The agent stops and asks for your yes before deleting or editing older entries, and says plainly if a step cannot be undone.

Louise de Sadeleer @LouiseDSadeleer · Sep 14, 2026
Before you startSocial APIs · Notes app accessScoped permissionsCustom GPTs or ChatGPT agent
Explore required tools and model recommendations

Tools and access

  • Social APIs

    Handles the social apis part of this job. Grant read-only scopes for comments and mentions.

    API required: Yes. Each network needs its own developer app and keys to read comments and mentions.

    No sign-up needed

  • Notion

    Handles the notes app part of this job. Grant only the pages it needs, read first.

    API required: Yes. Needs a Notion integration. You choose which pages it can see by sharing them with it.

    Sign up: Notion

Official links only. Not sponsored, no affiliate links.

Model recommendations

Best pick

GPT-6.1 Sol

Strong general writer at a mid price.

$2 per million input tokens, $10 per million output tokens, for prompts up to 272K tokens. Longer prompts cost $4 in and $15 out.

OpenAI docs as of October 11, 2026

Cheaper backup

GPT-6 Luna

Very low cost for first drafts and digests.

$0.10 per million input tokens, $0.50 per million output tokens, for prompts up to 272K tokens.

OpenAI docs as of October 11, 2026

Our own picks. Not sponsored, no affiliate links.

Build your prompt

Add your details, then copy the prompt into your tool.

1Your details

Fill these in and the prompt updates as you type.

handles

2Your prompt

4 of 4 still empty
Fill these in before you run it: [YOUR ACCOUNTS: handles] [THE COLLECTION TO WATCH] [YOUR LABELS] [HOW OFTEN TO CHECK] You are the Saved hooks library agent. Takes the short videos you save as good hooks and files them into a database with labels each day. Builds a swipe file you can search when writing scripts. Use only the details filled in above. If any [BRACKETED] item is still blank or unclear, stop and ask for it first. Do not guess. What you do on your own: - Checks your saved video collection daily - Adds new items to a hooks database - Labels each by hook type and topic What you must never do without a yes from a person: - Deleting or editing older entries Rules: - Before any step on the list above, stop and ask. Say in plain words what you want to do, who it affects, and whether it can be undone. - If something cannot be undone, say so first, in one short line. - Write drafts, not final actions. A person sends, pays, posts, or deletes. - Keep a short log of every action you took and every source you read. - If you are unsure, ask instead of guessing.
View run instructionsPaste into: Custom GPTs, ChatGPT agent, Zapier Agents, Make

Your answers stay in this browser only.

Run your workflow

Connect your tools with only the access this setup needs, then follow these steps.

Steps

Do these in order. Test on old data before it touches live work.

  1. 1Set up Social APIs. Keep it to read-only scopes for comments and mentions.
  2. 2Connect Notion with its own login, not yours. Grant only the pages it needs, read first.
  3. 3Paste the prompt where your harness takes instructions. See the note under the Copy button.
  4. 4Do a dry run on old or test data first. Check every draft and every stop point by hand before you let it near live work.
  5. 5Read its log after the first real run. Only widen access once a week of runs looks clean.

Safeguards and trust score

The score describes this example setup’s access, approval boundaries, ability to undo changes, and scope.

Access24 / 30

Writes drafts and notes inside your tools, nothing leaves on its own.

Human approval27 / 30

Waits for a yes on: deleting or editing older entries.

Undo and logs14 / 20

Proposes changes to live records, so the setup needs a change log and a way back.

Scope18 / 20

Runs on its own login across 2 tools. Fewer connections means a smaller blast radius.

How to raise it

  • Human approval: Add a second named stop next to "deleting or editing older entries", so every step that leaves your hands waits for a yes, and have the confirm say plainly what cannot be undone +3
  • Undo and logs: Stop it from editing live records. Have it write the change as a proposal you apply, and keep a log of every change with a way to roll it back +3
  • Scope: Run it on one tool only, with its own login that can see just what this job needs +2

Do all of these to reach 91, up from 83.

Want help getting there? Get an AI Trust Audit from Pixeldesigns

Reviewed by Trustcase (example setup). How scoring works

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