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I spent the last few months testing every AI podcast setup I could find, and I'm ready to share the workflow that actually stuck. Using Make.com as the automation backbone and DomoAI for voice and video generation, you can go from topic research to a published, professional-sounding podcast episode without recording a single thing yourself. This guide walks you through every step.
If you're new to Make.com, here's the short version: it's a visual automation platform that connects different apps and tools so they work together without you doing every step by hand. Think of it as a project manager that tells each tool in your stack when to do its job. You build "scenarios" — visual workflows where one action triggers the next.
And in 2026, Make.com has gotten seriously powerful. We're talking AI Agents that can reason and act on their own within rules you set, MCP (Model Context Protocol) support for connecting AI models to external tools, and a built-in AI Web Search feature for pulling real-time information. This isn't theoretical anymore. I tested it myself, and the results are real.
This is a real-world guide. I'll show you the exact tool stack, the step-by-step workflow, and the honest limitations. Let's get into it.
I've been watching AI podcasting tools for a while. Most of them felt like cool demos that fell apart when you tried to build a real production system. Here's what changed that made me take this seriously.
Make.com now serves over 400,000 organizations across 200+ countries. This isn't a scrappy startup tool anymore. It's infrastructure that serious businesses rely on. That matters because the integrations, reliability, and community support have all leveled up.
A few specific updates made AI podcast automation realistic this year:
Here's something I found refreshing about Make's approach. Make's own data shows autonomous agents still complete less than 2.5% of tasks in real-world settings. Instead of promising a magic "AI does everything" button, Make focuses on structured workflows where you stay in control of quality and editorial decisions.
The bottom line for podcasters: you can now build a repeatable system where episodes practically produce themselves, but you decide what gets published.
Before diving into the how-to, here's every tool involved. I'll be honest — this is a multi-tool setup. The value of Make is that it stitches them together so you're not manually hopping between seven browser tabs.
Honestly, this is the step where I went from thinking "okay, this is a cool experiment" to "wait, this is actually production-ready."
Most AI podcast workflows require three or four separate tools just to handle voice generation. You need one tool for text-to-speech, another for multi-speaker support, maybe a third for emotion control. And if you want video? Add even more tools on top. It gets messy fast.
DomoAI handles both text-to-speech audio and video avatar generation in one platform. That single fact eliminated half the complexity in my workflow.
This is the update that changed everything for me:
I tested this with a two-speaker format — a host, a skeptical analyst. The emotion shifts sounded natural. Not perfect, but genuinely good enough for a published episode.
This is where it gets even better:
Script → TTS with emotion control → Talking Avatar → Frames to Video → Upscale → Publish
What used to require a voice actor, a video editor, stock footage subscriptions, and an upscaling tool is now handled inside one platform. That simplicity is why DomoAI earned its spot as the production layer in my workflow.
Here's the full automated pipeline, in order. Each step connects to the next inside a single Make.com scenario.
Set up RSS feeds (Feedly) inside Make to pull articles, news, or topic sources automatically. Add Make AI Web Search for pulling real-time information on trending topics that feeds might miss.
In plain language: Make checks your sources every hour (or whatever schedule you set) and collects potential episode topics.
Use an AI model (through Make AI Agents or AI Toolkit) to score each source for relevance. Set rules: only topics scoring above a certain threshold move forward. Store approved topics in Google Sheets.
This is where the AI agent earns its keep. Instead of you reading 50 articles to find three good ones, the agent does it and explains its reasoning.
Send approved topics to your AI model with a detailed prompt that defines your show format, tone, number of speakers, segment structure, and any editorial rules.
Make AI Agents now support attaching knowledge files — like a show style guide or legal disclosure template — so the AI follows your specific rules every time. I keep a "show bible" document attached that includes my intro format, segment length targets, and a list of phrases to avoid.
Feed the script into DomoAI. Assign speaker roles and emotions per line. Generate the full multi-speaker audio file.
This step takes the longest to render, but it requires almost no manual effort. You set it up, and DomoAI handles the rest.
Run the audio through DomoAI Talking Avatar for speaker visuals. Add Frames to Video segments for b-roll between speaking sections. Upscale to 4K for a polished final product.
If you're publishing to YouTube or social media, the video version dramatically increases reach.
Push the finished audio (or video) file to your podcast host via Make's HTTP module. An HTTP module is just Make's way of talking to apps that don't have a built-in connection yet — it sends data to the app's API (its communication door). Include episode title, description, and tags generated by the AI in Step 3.
Automatically generate a transcript, pull key quotes for social media posts, create a newsletter summary, and schedule distribution — all from the same Make scenario.
Make's strongest value is as an orchestration layer — its official podcast guide relies on multiple external tools working together. The repurposing step is where that orchestration really pays off.
If you love sitting behind a mic and riffing with guests, this isn't meant to replace that — and honestly, it shouldn't. The human connection in a live conversation is something AI can't replicate. This workflow is for a different kind of podcast.
Let me be transparent about costs. This isn't free. But it's dramatically cheaper than hiring voice actors, editors, and producers.
Make.com uses a credit-based billing system. Built-in AI features consume credits based on operations and tokens. If you plug in your own AI provider (like your own OpenAI API key), Make charges you for operations and your external provider bills you separately for token usage.
Make AI Agents (New) is in open beta and available on all plans using Make's built-in AI provider. Custom AI provider connections require a paid plan.
Your effective cost for a podcast workflow typically breaks down into:
Think of this as an investment in a system, not a per-episode expense. Once the workflow is built, each additional episode costs a fraction of what traditional production would.
Suggested visual: A simple cost breakdown table showing each tool category and general pricing tiers.
After running this workflow for several weeks, here's what I wish I'd known from the start:
Make.com in 2026 is not a podcasting app. It's workflow infrastructure that can power a full podcast operation. The combination of Make's orchestration with DomoAI's voice and video generation makes it possible to go from topic research to a published, professional-sounding (and looking) episode without recording a single thing yourself.
This workflow is for anyone who wants a repeatable, scalable podcast production system — whether you're a solo creator, an agency managing client shows, or a business turning existing content into audio.
I genuinely did not expect to enjoy this process as much as I do. There's something weirdly satisfying about watching an episode build itself while I drink my coffee. If you try it, let me know how it goes.
Q: What is Make.com and how does it relate to AI podcasting?
Make.com is a visual automation platform that connects different apps and tools into workflows called "scenarios." For AI podcasting, it acts as the central system that ties together your research sources, AI script writer, voice generator, and publishing platform so they all work together automatically. Make's strongest value is as an orchestration layer, not a single-purpose podcast studio.
Q: Can I create a full podcast episode without recording my voice?
Yes. Using AI text-to-speech tools like DomoAI, you can write a script and generate realistic multi-speaker audio without recording anything. DomoAI's TTS feature lets you assign different emotions to each line, so the result sounds like a natural conversation, not a robotic reading.
Q: Does Make.com have a built-in podcast hosting feature?
No. Make.com is an automation platform, not a podcast host. You still need a separate hosting service like Spreaker, Buzzsprout, or Podbean. Make connects to these services (usually via its HTTP module) to automatically publish your episodes.
Q: How much does it cost to run an AI podcast workflow on Make.com?
Costs depend on your plan and usage. Make.com uses credit-based billing for its built-in AI features. On top of that, you'll pay separately for your AI model tokens (like OpenAI), your voice generation tool (like DomoAI), and your podcast hosting service. It's significantly cheaper than traditional production but not free.
Q: Can I make a video podcast with this workflow?
Yes. After generating your audio with DomoAI's TTS, you can use DomoAI's Talking Avatar feature to create animated, lip-synced speaker visuals and Frames to Video for b-roll segments. You can even upscale the final video to 4K quality before publishing.
Q: Is Make AI Agents available on free plans?
The Make AI Agents (New) app is in open beta and available on all plans when using Make's built-in AI provider. However, if you want to connect your own custom AI provider (like your own OpenAI API key), you need a paid Make plan.
Q: What types of podcasts work best with this automated workflow?
This setup works best for structured, repeatable formats like news roundups, curated topic discussions, audio newsletters, and thought-leadership segments. It's less suited for free-form interview podcasts where the value comes from live, unscripted conversation.
Q: Do I need coding skills to set this up?
No. Make.com uses a visual drag-and-drop builder, and DomoAI is prompt-based. You don't need to write code. However, there is a learning curve to setting up your first scenario, so budget a few hours for initial setup and testing.
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