Bono AI

Talk Once. Publish Everywhere.

Newsletters

Writing

Social Media

Branding

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Stellar! Just what I needed as a founder wearing multiple hats. Thanks Zee and the team. Excited to use this.

I absolutely loved this! Just 2 minutes in a noisy room, and it still captured it well. I loved the profil it created. Can't wait to just talk to Bono and build this out further.

Voice to text is an interesting process and it is interesting if such posts will go viral after publishing. However, I believe that voice is so different from what you write on different platforms. If this there is no additional analysis and conversion from voice to a structured post/comment then it loses its meaning. Also is there a specific filter that constructs posts based on platform you want to publish? For example on X posts/replies and quotes are different in terms of structure, content and tone.

the tone/voice matching is clearly the part you've thought hardest about, but I'd worry about a different failure mode: an editor sharpening a rambling point for punch can quietly nudge it into a claim you didn't quite mean, factually or in how strong it sounds. "doesn't sound like me" is easy to catch on review, "I didn't actually say that with this much confidence" is a lot easier to wave through when you're skimming your own words back and they mostly sound right. since this is going out under someone's name as thought leadership, that seems like the riskier failure to guard against

the "this doesn't sound like me" complaint is real and I get why talking instead of writing fixes the blank page problem, but I'd worry it just moves the failure point. if it's learning "your voice" from 10 minutes of rambling and then generating a polished LinkedIn post, there's still a transformation step doing a lot of work, and that's usually where the generic AI cadence sneaks back in. has anyone who's used it a few weeks said the output still sounds like them once the novelty wears off, or does it start drifting toward the same LinkedIn-thought-leader voice everyone else's AI tool produces

This is great. I was just talking with my partner about how awesome it would be to have a service that simply listens while you think out loud on a call, then turns those raw ideas into a structured summary with follow ups and concepts worth developing further. Not in the sense of venting to a friend, but as a professional thought partner that helps refine and expand your thinking for blogs/posts.

Congratulations on the launch!👏

Hey guys, how do you make sure you don't get me locked out of my linkedin given the strict linkedin rules? How do you connect to my account, etc? Don't want to get banned from there because an Agent posts for me 😅

Congrats on the launch. The pivot story is the strongest part for me: realizing the bottleneck was not the website builder, but helping people turn their actual thinking into useful content. Curious how you decide when the output should stay close to the raw voice versus when it needs more platform-specific rewriting, especially for LinkedIn versus newsletters.

Hello @zeeshanrasool_ @jiayi_chloe_lu @alex_11x_ventures I'm pre-launch on a mobile app with almost nothing published yet. Your note says Bono learns me over time, but I'm curious what actually moves that training when I'm starting from zero. Do my approved edits count more than the raw voice calls once I start publishing? Very interesting idea and congrats on the launch! I upvoted you.

The "doesn't sound like me" framing really resonates. That's the actual failure mode of most AI writing tools, not grammar. Question on the progressive voice learning: roughly how many recorded conversations does it take before the per-channel voice stabilizes enough that you're not editing much? And does it ever need "retraining" if someone's writing voice shifts over time (new job, new audience)?

Really relatable problem. One question: if someone already uses ChatGPT Voice or Gemini Live to brainstorm and then asks it to write a post, what makes Bono a better workflow?

Congrats on the launch!

I like the "talk instead of write" ideas, feel much easier than staring at a blank page

Curios how fast Bono can really learn someone's personal voice after a few talks?

Congrats Zee! This one is personal for me. I do almost everything by voice-to-text, and my raw transcripts are a mess, half-finished sentences, corrections mid-thought, “wait, scratch that.” Does Bono handle that kind of rambling input well, or does it work best when you deliver a coherent 10 minutes? Because if it can turn my actual messy thinking out loud into clean posts, I’m sold.

"This doesn't sound like me" is exactly why I still write my own marketing content despite the time cost. The human-vs-AI meter climbing from 65% to 80%+ by call three is a compelling metric — is that measured by your own classifier, or third-party detectors?

Your product sounds great! But what makes me curious is why so many products avoid showing real use cases. For example - you as a founder talking to Bono about how you created it, and how Bono turns it into a blog post, LinkedIn content, a newsletter. So users can see the starting point (the original voice message) and how it transforms into specific formats. I have a feeling that real use cases build more trust than any description.

Hey Zee! It's amazing how you're simplifying publishing. Wish you all the best!!

The WhatsApp input is interesting , most founders think out loud on voice notes anyway so meeting them there makes sense. Curious whether Bono can take a rough 2 minute voice note sent on WhatsApp and turn that into a full LinkedIn post or does it need the full 10 minute structured conversation to work properly?

Talked through a rough idea for ten minutes and it actually pulled out a structure for a LinkedIn post that sounded like me, not like a template. Impressed that it didn't try to fluff it up with generic intros.

I've been doing exactly this by hand all week for my own launch prep. Same story on X, Threads, LinkedIn, and the annoying part wasn't reformatting, it was that each place needs a different voice. LinkedIn wants context, X wants the sharp version. Curious how you handle that: does it actually adapt tone per channel or mostly restructure the same text?