Podcast Content Improvements #61
Description
We have a vast collection of podcast content on our website and need to update or create the following podcast elements to enhance our site.
✅ Title
✅ Meta-description
✅ Timestamps
✅ Short Intro Summary
5. Guest Bio
6. Key takeaways
You can take as many parts to work on as you want. Parts marked by ✅ are already completed by someone. But you can still take them to share your solution (it may be more efficient).
Resources You Can Use
- The podcast transcript is available on each individual page in the
_podcastfolder of this repo. They are formatted in YAML. - Guest bios can be found in the
_peoplefolder. - You are free to use any content from this repo for your project.
- Use this description along with some instructions, clarifications, and example prompts.
Title
We currently write podcast titles manually. We want to optimize them for SEO and clarity. To do this, we need to update each title. You can find them in the front matter of each podcast as a title: entry.
Example:
title: "How to Navigate Career Transitions, Overcome Imposter Syndrome, and Build for _podcast/s07e04-career-coaching.md
I used this prompt for manual interaction with an LLM. It uses timestamps and guest bio as input and outputs two versions of the bio. If you consider using this prompt, I'd suggest updating timestamps and the guest bio first. You can suggest your own prompt for that.
Based on the podcast timestamps and guest bio, generate a SEO-optimized title:
- Should be under 100 characters
- Focus primarily on the main themes and topics in the timestamps, not the guest’s current role
- Mention the guest’s name and company/role at the time of recording (if available).
- Make it clear, keyword-rich, and engaging.
Meta-description
Currently, we do not have podcast meta descriptions for most episodes. We want to write and optimize them for SEO.
You can find these descriptions in the front matter as a description: entry or add it to the front matter as part of this task.
Example:
description: "Learn proven strategies to navigate career transitions, overcome imposter syndrome, and land data roles. Expert tips on CVs, networking, and confidence building."
For _podcast/s07e04-career-coaching.md
I used this prompt for manual interaction with an LLM. It takes the podcast transcript as input and generates a meta description. You can suggest your own prompt for that.
Based on the podcast transcript, make seo optimized meta description:
- Length: 140-155 characters
- Formula Structure: Problem/Benefit + What's Inside + Soft CTA
- No formatting/markup - plain text only
- Primary keyword early (first 60 characters for search bolding)
- Use action verbs: Learn, Discover, Master, Build, etc.
- Benefit-focused with specific details
- Match content accurately
- Emotional triggers: essential, proven, expert, comprehensive, etc.
- Compelling: Appeals to the target audience
Timestamps
Most podcast timestamps are added manually. We want to improve them for SEO and clarity. To do this, we need to update each timestamp list. You can find these in the front matter of each podcast as a header: entry inside the transcript: entry.
The transcript uses YAML formatting.
When generating timestamps, you will need to:
- remove existing timestamps
- add new ones in the correct locations inside the transcript based on the specified timing
I used this prompt for manual interaction with an LLM. It takes the podcast transcript as input and creates a list of timestamps. Feel free to suggest your own prompt for this.
You are given a transcript of a podcast episode.
Your task is to create timestamps — a structured outline that highlights major topic shifts and tools, written in concise, nominative phrases.
Follow these rules:
- One timestamp per topic shift (roughly every 3–8 minutes).
- Use nominative phrasing — describe what’s covered, not what’s asked.
❌ Don’t write: “How to contribute to open source?”
✅ Do write: “Open Source Contribution: Starting Small & Building Confidence.”
- Separate multiple subtopics, not full sentences.
Example: “Tool: Evaluating Models; Responsible AI & Feedback Loops.”
Keep each line ≤ 12 words.
Format as:
00:00:00 Title of Topic
00:04:32 Tool: Evaluating Models Beyond Accuracy
00:09:15 Collaboration Between Data Scientists & Designers
00:15:48 Concept: Responsible AI & Continuous Feedback Loops
00:22:41 When (and When Not) to Build AI Agents
00:28:10 Future of Data Science Roles in the LLM Era
Do not include speaker names or questions unless essential to the context.
Focus on clarity, parallel grammar, and information hierarchy — so the list reads like a table of contents for the episode.
Short Intro Summary
Currently, most podcasts don't have a short intro summary that outlines the content, highlights guests' expertise, briefly describes common problems, and explains how it offers solutions. A short intro summary is beneficial for both listeners and search engines to better understand what our podcast is about, improve discoverability, and connect with relevant audiences.
You can find these descriptions in the front matter as an intro: entry or add it to the front matter as part of this task.
Example:
intro: "In this episode, Transformational and Executive Coach Lindsay McQuade shares practical insights on how professionals can navigate career transitions, overcome imposter syndrome, and build confidence in competitive fields like tech and consulting. Drawing from over 20 years of experience—including roles at Accenture, Cass Business School, and SPICED Academy—Lindsay explains how to reframe your past experience, identify transferable skills, and use frameworks like Ikigai to clarify career focus. You’ll learn proven strategies for job searching, networking on LinkedIn, working with recruiters, and developing structured learning paths to accelerate growth and promotion. Whether you’re pivoting careers or aiming for your next role, this episode offers actionable guidance to manage uncertainty and thrive in professional transitions."
For _podcast/s07e04-career-coaching.md
I used this prompt for manual interaction with an LLM. It uses timestamps and guest bio as input and outputs two versions of the bio. If you consider using this prompt, I'd suggest updating timestamps and the guest bio first. You can suggest your own prompt for that.
Based on the podcast timestamps and guest bio, generate an SEO-optimized intro summary, one paragraph starting with “In this episode…”:
- Add one clear sentence stating the main challenge or question the episode explores.
- Follow with one sentence summarizing what listeners will gain or learn.
- Naturally include the primary keyword and 1–2 related keywords.
- Briefly describe what the guest discusses in the transcript: focus on key topics, insights, and takeaways, not filler conversation.
- Use the guest’s title and company as of the podcast recording (ignore later updates).
- Exclude any mention of recent career changes or details unrelated to the episode’s timeframe.
Guest bio (long and short version)
We currently have guest bios available at: https://datatalks.club/people.
I'd like to update these bios with current information from people's LinkedIn profiles and create two versions of each bio: one for the page content and another for the podcast.
You can add them:
- In the front matter: bio_short: ""
- In the body of each page for the long version.
You can see an example of how it might look on this page _people/jeffkatz.md.
I used this prompt for manual interaction with an LLM. It uses their LinkedIn pages as input and outputs two versions of the bio. You can suggest your own prompt for that.
I’ll provide you with detailed information about a podcast guest, including their experience, roles, companies, speaking engagements, and areas of expertise.
Your task is to write two versions of their bio optimized for SEO and Google E-E-A-T:
Short Bio (1 paragraph) – concise, keyword-rich, suitable for YouTube descriptions or speaker intros.
Long Bio (2–3 paragraphs) – comprehensive and human-sounding, showcasing the guest’s experience, credibility, and authority in their field.
Each bio should:
- Include relevant SEO keywords
- Highlight the guest’s experience, expertise, and achievements (E-E-A-T signals).
- Sound professional yet approachable.
- Don't use em dashes
Format your response as:
Short Bio (SEO-Optimized)
[1-paragraph version here]
Long Bio (SEO-Optimized)
[2-3 paragraph version here]
Key Takeaways
We currently do not have that content on any of the podcast pages, so you won't find an example on our website.
We aim to compile a list of key takeaways from the podcast with concise, clear summaries included, preferably with timestamps indicating where each point was mentioned.
Example structure:
## Heading: Use **semantic headings (H2/H3)** like “How to Contribute to Open Source” or “Evaluating AI Systems in Production.”
Short intro: A **short intro paragraph** for each topic (2-3 sentences) using **keywords** related to the discussion.
**Key Takeaways:**
- [insight 1, concise and concrete]
- [insight 2]
- [insight 3]
- [optional 4th if meaningful]
**Quote (optional):**
> “Direct quote from guest capturing the essence.”
When possible, include **timestamps**, **guest names**, and **entities** (e.g., GitHub, Hugging Face, TensorFlow).
Example of an insight I just generated from _podcast/s14e06-data-developer-relations.md:
## How to Contribute to Open Source
Open-source projects can feel intimidating for beginners, but Hugo Bowne-Anderson shared a practical framework for getting started. He emphasized starting small, focusing on learning from the community, and treating collaboration as a skill.
**Key Takeaways:**
* Begin with simple contributions like fixing documentation or improving examples.
* Choose projects that align with your personal interests — motivation drives consistency.
* Read the project’s *CONTRIBUTING.md* file before submitting a pull request to understand the workflow.
* Don’t hesitate to reach out to maintainers — open communication is part of open source.
> “Contributing to open source isn’t about code; it’s about learning how to collaborate at scale.” — Hugo Bowne-Anderson
*(Timestamp: 24:18)*
Example: https://ai.hubermanlab.com/d/64c11778-b80a-11ef-bf69-a3d8ec277d29
