Podcast guest pitches with a nudge log
It finds podcasts your audience listens to, scores each show, and drafts a pitch in your own words. You send every pitch yourself, and a call log tells you who is due a follow up.
What it does
- Interviews you once to build a guest profile in your words
- Searches podcast directories and reads each show's public feed
- Scores shows on fit, recent episodes and whether they take guests
- Drafts a pitch, subject lines and a follow up per chosen show
- Keeps a log of who was pitched and who is due a nudge
Your approval boundaries
Approval requiredThese actions always wait for your yes:
- Choosing which shows to pitch
- Sending any pitch or follow up
- Saving drafts into your email account
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 interviews you once to build a guest profile in your words. Next, it searches podcast directories and reads each show's public feed. Then it scores shows on fit, recent episodes and whether they take guests. After that, it drafts a pitch, subject lines and a follow up per chosen show. Finally, it keeps a log of who was pitched and who is due a nudge. It works with your web search, web fetch, email and docs, 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 choosing which shows to pitch, sending any pitch or follow up and saving drafts into your email account, and says plainly if a step cannot be undone.
“Every send is yours. Nothing goes out on its own.”
Explore required tools and model recommendations
Tools and access
Web search
Handles the web search part of this job. Grant public search results only.
API required: Optional. Built into most agent harnesses. A standalone search API needs its own key.
No sign-up neededWeb fetch
Handles the web fetch part of this job. Grant public pages, no logged-in sessions.
API required: No. Built into most agent harnesses. It reads public pages with no login.
No sign-up neededGmail
Handles the email part of this job. Grant read-only plus compose (drafts) scopes.
API required: Yes. Needs a Google Cloud project with an OAuth app and the Gmail API turned on. The agent signs in through OAuth with only the scopes you pick.
Google Docs
Handles the docs part of this job. Grant one folder, create and edit only.
API required: Yes. Needs a Google Cloud OAuth app with the Docs API turned on.
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.
2Your prompt
4 of 4 still emptyYour 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.
- 1Set up Web search. Keep it to public search results only.
- 2Set up Web fetch. Keep it to public pages, no logged-in sessions.
- 3Connect Gmail with its own login, not yours. Grant read-only plus compose (drafts) scopes.
- 4Connect Google Docs with its own login, not yours. Grant one folder, create and edit only.
- 5Paste the prompt where your harness takes instructions. See the note under the Copy button.
- 6Do 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.
- 7Read 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.
Can draft things that send or spend, so it sits close to risky actions.
Waits for a yes on: choosing which shows to pitch, sending any pitch or follow up, saving drafts into your email account.
Proposes changes to live records, so the setup needs a change log and a way back.
Runs on its own login across 4 tools. Fewer connections means a smaller blast radius.
How to raise it
- Access: Take away its ability to send, post or spend. Let it only write drafts, and have a person press send or pay from their own account +6
- 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: Cut it down from 4 connected tools to the 2 it needs most, each with its own limited login instead of your full account +2
Do all of these to reach 89, up from 78.
Want help getting there? Get an AI Trust Audit from Pixeldesigns
Reviewed by Trustcase (example setup). How scoring works
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