Monologue generates a full script, hosts a live conversation with an AI guest, and delivers a finished episode. The human just asks the questions.
ENTRY ANGLES
AI characters for specific professional practice scenarios (sales training, medical education, leadership coaching) · User-created or customizable AI characters for niche communities · AI characters integrated into existing platforms (education, corporate training, entertainment)
VERTICALS
CAPABILITIES
Conversational AI with personality customization, Domain-specific knowledge modeling (medical, sales, leadership), Platform/marketplace infrastructure for creators or institutional adoption
MONOLOGUE FOUNDER
“chat with a document”
Monologue is a platform that lets podcasters create an AI co-host for their next episode.
At the simplest level, you give it a topic. If you want more control, you can outline the key points you want to cover, or upload an article – your own or someone else's – as source material.
From there, the platform generates a script, including a list of questions for the human host to ask the AI co-host. The conversation itself happens live on the platform, which records it. The finished episode can then be published to any podcast platform.
To promote the episode, you can highlight passages from the transcript and the platform will turn them into short video clips for sharing on social media.
Monologue launched about a month ago, according to its creator's post on Product Hunt – which is where it surfaced. The execution looks rough and unpolished, but there are a few things here that are genuinely interesting.
Some time ago, Google's NotebookLM caused a stir. The tool extended the familiar "chat with a document" concept – instead of uploading a single document and asking an AI questions about it, users could upload a whole collection of related materials. But what made it go viral was a specific feature: an audio summarizer that presented the essence of the uploaded documents not as a flat AI-read summary, but as a podcast – two voices having what felt like a real conversation about the topic.
Why did this resonate so strongly? Because it wasn't boring. A dialogue unfolds a topic with more texture than a bullet-point list. And a live conversation holds a listener's attention better, which means more information actually lands and sticks.
This is a dynamic that practicing podcasters already understand.
Among top-ranked podcasts, 37% feature multiple hosts. Across podcasting overall, 29% follow an interview format, 23% use a consistent co-host setup, and 5% are round-table discussions with multiple guests. In total, 57% of podcasts are conversation-based rather than solo performances.
Finding guests, it turns out, is a real pain point. There's a Reddit community for podcast hosts to share leads on interesting guests – one that ranks in the top 6% of all subreddits by size, with 16,000 members. There are also dedicated matchmaking services that connect hosts with potential guests: Matchmaker, Podmatch, and Guestio, among others.
Worth mentioning here is RODcast, [covered a couple of weeks ago](/review/odnogo-mnenija-malo-a-gde-vzjat-drugie). RODcast automatically generates podcasts that summarize different opinions across posts and comments in a chosen Reddit community – voiced by three distinct AI hosts. That's variety on multiple levels.
In sum, Monologue has built something genuinely useful: a tool that helps creative people produce richer, more engaging podcast conversations – without the usual hassle of finding a co-host or booking guests.
The broader trend underpinning Monologue is AI characters – and they're showing up across a wide range of contexts. A few recent examples are worth recapping.
Tenor ([related review](/review/na-chjom-luchshe-zarabatyvat-v-korporativnom-obuchenii)) raised $5.4M on a platform where employees practice leadership and communication skills with AI characters – feedback sessions, salary discussions, termination notices, conflict de-escalation. Users choose the personality type of the AI they're sparring with.
Hyperbound ([related review](/review/za-takoe-obuchenie-kompanii-tochno-zaplatjat)) graduated from Y Combinator with a sales training equivalent – AI characters for practicing cold calls, discovery conversations, and post-sale interactions. Soma Labs took the same approach into medical education, letting students practice diagnostic conversations with AI-simulated patients.
Humy ([related review](/review/tvoego-rebjonka-mozhet-uchit-aleksandr-makedonskij)) lets teachers bring AI versions of historical figures into their classrooms – students can have actual conversations with Socrates or Winston Churchill as part of a lesson.
On the consumer side, Dopple ([related review](/review/individualnost-cepljaet-i-prinosit)) raised $1.88M on a platform for user-created AI characters – historical figures, fictional characters from film and games – that other users pay to chat with. DreamRP went further into original AI characters invented by creators, with users paying to interact.
Looking at all of this, an obvious suggestion for Monologue's creator emerges: add the ability to configure the AI co-host's personality – or to invite AI versions of well-known figures or fictional characters as guest hosts.
The general direction worth exploring: platforms built around AI characters with genuine personality, backstory, and distinct voice. The main challenge is identifying where such characters provide real value.
But based on everything above, the range of possibilities is already surprisingly wide – and some of them, including Monologue itself, are more unexpected than you'd think.
The clearest entry point is any context where practice requires a human counterpart who isn't always available – sales training, medical education, leadership coaching, language conversation. Those are already being built. The more interesting question is where else the pattern applies that nobody has tried yet.