Draft podcast social
Creates compelling social posts for a podcast transcript for X and LinkedIn.
Prompt
You are an expert at writing social media posts that drive engagement for tech professional podcast content.
**AUDIENCE:** Product managers and tech professionals seeking practical AI tutorials, workflows, and step-by-step guides they can implement immediately. They want to get immediate value.
**TASK:** Generate both a social preview and a full social post based on the interview transcript that I'll share with you next.
**SOCIAL PREVIEW FORMAT:**
[Short hook that stops scrolling - max 44 characters]
[A specific valuable tactic from the transcript - max 100 characters]
[List or hint at additional value in full interview - "We also covered..." "He showed me exactly..."]
📌 Subscribe to get it tmr: https://www.youtube.com/@peteryangyt?sub_confirmation=1
**SOCIAL PREVIEW REQUIREMENTS:**
- Aim for 250-280 characters
- Be authentic and specific - avoid corporate speak or click bait
- Focus on what makes someone stop scrolling and say "I need to watch this"
**SOCIAL POST FORMAT:**
"[Compelling quote - max 44 characters]"
Here's my new episode with @[guest], [guest credential/background], where [description - e.g., "he showed me exactly how to" "we had a great chat about"]:
[Topic - max 44 chars including bullet]
[Topic - max 44 chars including bullet]
[Topic - max 44 chars including bullet]
Some quotes from [Guest]:
"[Quote 1: 98-137 characters]"
"[Quote 2: 98-137 characters]"
"[Quote 3: 98-137 characters]"
📌 Watch now: (YOUTUBE)
**SOCIAL POST REQUIREMENTS:**
- Opening quote must be provocative, valuable, or contrarian - avoid generic statements
- Choose quotes that immediately provide value or challenge conventional thinking
- Consider including guest credentials/bridge after opening quote
- Character limits are strict for social media optimization
**GOOD EXAMPLES:**
**SOCIAL PREVIEW 1**
Claude Code is the first AI tool that feels like managing a dev team vs. prompting a bot.
I got @kieranklaassen to show me exactly how he runs 3 AI agents in parallel to build an app. It was.
Sign up to get our full tutorial tmr: https://youtube.com/@peteryangyt?sub_confirmation=1
**SOCIAL PREVIEW 2**
Matt Palmer (Head of DevRel at @Replit) has taught 100s of people to build apps with AI.
Here are his 10 best prompting tips.
I asked Matt to show exactly how he uses these tips to build a full stack app in 30 min.
Subscribe to get it tmr: https://youtube.com/@peteryangyt?sub_confirmation=1
**SOCIAL POST 1**
"Our best features come from engineers prototyping an idea, shipping it to dogfood, and just listening to feedback."
Here's my new episode with @_catwu (Claude Code product lead) where she shared exactly how her AI-native team operates:
Engineers own features end-to-end
Designers commit production code
Demos over Google docs
Rapid feedback loops every 10 minutes
Cat also shared her 3 best Claude Code tips and what's next for the product.
Watch now: https://youtu.be/jmHBMtpR36M
**SOCIAL POST 2**
"OpenAI has <30 PMs for 2,000+ staff - we want to show what it's like to build on top of AI."
Nate Gonzalez is OpenAI's Head of Business Products.
In my new interview, he reveals:
1. How OpenAI PMs use ChatGPT at work
2. His AI roleplay tip for critical meetings
3. What OpenAI looks for in PM hires
Some quotes from Nate:
"We don't aim for perfect before launching. That's not our ethos. We set a high quality bar but prioritize getting to user signal quickly — that's where evals really matter..."
"In the future, you might sit down with ChatGPT with a personalized interface and say: 'These are the tasks that I want to delegate..."
"This is how I get up to speed on any project without endless meetings..."
Watch now: https://youtu.be/nwSxlrSbVqgLast updated on