The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Back to feedPost
Turning a blog into a podcast sounds simple until you actually deal with web scraping, messy content, LLM prompt engineering, and high-quality text-to-speech.
I recently built a Blog-to-Podcast AI Agent that automates this whole workflow using Agno, Gemini 2.5 Flash, Firecrawl, and ElevenLabs.
Along the way, I picked up a few interesting lessons:
Why content cleanup matters just as much as orchestration
How AI agents make multi-step workflows way simpler
The architectural choices behind building a reliable end-to-end pipeline
Where this kind of system can go beyond just podcasts
I wrote a detailed technical walkthrough covering the architecture, implementation, and key takeaways.
If you're into AI agents, LLM-powered automation, or building practical GenAI apps, check out the full article:
medium.com
How I Built a Blog-to-Podcast AI Agent
A lightweight agentic workflow for transforming blog articles into AI-generated podcasts using Agno, Gemini, Firecrawl, and ElevenLabs.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Trending
Claude
Claude has entered the design space. How are you using Claude Design?
Contra University
Learn from expert creatives how to earn more using next-gen AI tools.
creativeaiflow
Creative AI workflows are evolving. What tools do you use, and what are their strengths and weaknesses?
freelancerlife
Freelancer life is wins, pivots, and everything in between. What’s yours right now?
Related posts
Uhh. Can you help me pick, A or B? 🙏
I'm drafting client's landing page using 2 of the most advanced AI models: Anthropic (Fable) and OpenAI (Sol).
Both delivered a banger result from a single prompt (I'll put it in the comments).
Can you tell which model delivered which output? 😏
31 voted
56%
24 voted
44%
55 votes
Closed
I think both are AI generated UI
correct if I'm worng.
Designed and developed an end-to-end AI automation workflow using n8n to streamline client communication and CRM operations. The system receives Telegram messages, analyzes client requests with AI, classifies priority levels, stores leads in Google Sheets and Supabase, sends automated email notifications, replies to clients instantly via Telegram, and prepares structured prompts for CRM integration. This workflow reduces manual work, improves response times, and keeps customer data organized in real time.
AI Videos
Just experiment.
Go niche.
Prompt once, then iterate, over and over.
"Prompt once, then iterate over and over" is underrated advice, most people bail after the first weak output instead of treating it like any other craft loop. Which of these four took the most rounds to get right?