Meet Bono, your voice AI content strategist. Talk for 10 minutes, and Bono turns the conversation into a blog post, LinkedIn/X content, a newsletter, and more, all in your voice. No blank page, no prompts, no ghostwriters, no agencies.
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Viktor.comAn AI coworker that actually does the work
Promoted
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.
Thanks! Yes, messy is fine, it's actually the normal case. Mid-thought corrections and "wait, scratch that" get filtered out during extraction, since it's pulling the core claims and framing, not transcribing verbatim. You don't need to deliver something coherent, that's the whole point of talking instead of writing
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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)?
Most people see it stabilize by the 3rd conversation, editing drops off noticeably after that. And yes, it keeps adapting rather than needing a hard reset, so a new job or new audience just gets picked up in later conversations rather than requiring a retrain.
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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.
Thank you, and that's exactly it. The website builder was never the bottleneck. Getting someone's actual thinking out of their head was.
On your question: the newsletter and blog stay closest to the raw voice. Those formats want the full thought, the tangents, the way you actually build an argument out loud. We trim and structure, but we don't compress.
LinkedIn and X need more shaping. Not because the thinking changes, but because the format does. A point that takes three sentences in conversation might need to be one hook line on LinkedIn, or broken into a thread on X. The vocabulary and the opinion stay yours, but the packaging adapts to how people actually read on each platform
The line we hold is that we'll change the structure to fit the platform, but never the substance to fit the algorithm.
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@zeeshanrasool_@zeeshanrasool_ That structure vs substance line is a strong product principle. The bit that stands out is keeping longer-form close to the raw thought while letting short-form change shape for how people read. That feels like the right boundary for voice tools.
Thanks. Blog and newsletter stay close to the raw voice, we trim but don't compress. LinkedIn and X get reshaped for the format, hook lines, threads, but the substance stays yours. We'll adapt structure to the platform, never substance to the algorithm.
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 😅
Great question, and a fair one to ask before connecting anything :)
It works through a one-time LinkedIn authorization, not scraping or third-party workarounds, so it's using your own authenticated access, the same kind of connection LinkedIn's official integrations use.
And to be clear on the "agent posting for me" part: nothing publishes autonomously. You're the one who reviews the draft and chooses to post it, Bono isn't an agent going off and posting on your behalf without you asking. Think of it less like an autonomous poster and more like a small scheduler built into Bono, it drafts, you approve, it publish, same as you'd do manually, just without the copy-paste step.
And the content itself is yours either way, it came from your conversation, so there's nothing here that should read as automated or inauthentic to LinkedIn or to your audience.
Look super cool! One doubt: does it keep track of what you've already posted so you're not accidentally rewriting the same take from 6 weeks ago? for me that's always been the hard part, not the first post but staying non-repetitive over time.
Thanks! Yes, that's exactly what the memory across conversations handles. Bono tracks what you've already published so it can steer new content away from ideas, angles, or stories you've already covered, and it can even build on a past post rather than repeat it. Staying non-repetitive over months is honestly one of the harder problems we've worked on, so good instinct to ask
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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?
It adapts, not restructures. LinkedIn output leans into context and the fuller argument, X gets the sharp, compressed version of the same idea, not just a trimmed copy-paste. Same source conversation, but each platform gets written like it was drafted for that audience specifically.
Sounds like you've felt the exact pain point we built this to kill - would love for you to try
Report
"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?
Own classifier, trained specifically to catch the "sounds like generic AI" pattern rather than a general AI-detection tool. Third-party detectors are built to flag AI text in general, not to measure whether something sounds like your voice specifically, which is the actual thing we're optimizing for
Bono AI
Thanks! Yes, messy is fine, it's actually the normal case. Mid-thought corrections and "wait, scratch that" get filtered out during extraction, since it's pulling the core claims and framing, not transcribing verbatim. You don't need to deliver something coherent, that's the whole point of talking instead of writing
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)?
Bono AI
Most people see it stabilize by the 3rd conversation, editing drops off noticeably after that. And yes, it keeps adapting rather than needing a hard reset, so a new job or new audience just gets picked up in later conversations rather than requiring a retrain.
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.
Bono AI
Thank you, and that's exactly it. The website builder was never the bottleneck. Getting someone's actual thinking out of their head was.
On your question: the newsletter and blog stay closest to the raw voice. Those formats want the full thought, the tangents, the way you actually build an argument out loud. We trim and structure, but we don't compress.
LinkedIn and X need more shaping. Not because the thinking changes, but because the format does. A point that takes three sentences in conversation might need to be one hook line on LinkedIn, or broken into a thread on X. The vocabulary and the opinion stay yours, but the packaging adapts to how people actually read on each platform
The line we hold is that we'll change the structure to fit the platform, but never the substance to fit the algorithm.
@zeeshanrasool_ @zeeshanrasool_ That structure vs substance line is a strong product principle. The bit that stands out is keeping longer-form close to the raw thought while letting short-form change shape for how people read. That feels like the right boundary for voice tools.
Bono AI
Thanks. Blog and newsletter stay close to the raw voice, we trim but don't compress. LinkedIn and X get reshaped for the format, hook lines, threads, but the substance stays yours. We'll adapt structure to the platform, never substance to the algorithm.
Pretty Prompt
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 😅
Bono AI
Great question, and a fair one to ask before connecting anything :)
It works through a one-time LinkedIn authorization, not scraping or third-party workarounds, so it's using your own authenticated access, the same kind of connection LinkedIn's official integrations use.
And to be clear on the "agent posting for me" part: nothing publishes autonomously. You're the one who reviews the draft and chooses to post it, Bono isn't an agent going off and posting on your behalf without you asking. Think of it less like an autonomous poster and more like a small scheduler built into Bono, it drafts, you approve, it publish, same as you'd do manually, just without the copy-paste step.
And the content itself is yours either way, it came from your conversation, so there's nothing here that should read as automated or inauthentic to LinkedIn or to your audience.
Timbal AI
Look super cool! One doubt: does it keep track of what you've already posted so you're not accidentally rewriting the same take from 6 weeks ago? for me that's always been the hard part, not the first post but staying non-repetitive over time.
Bono AI
Thanks! Yes, that's exactly what the memory across conversations handles. Bono tracks what you've already published so it can steer new content away from ideas, angles, or stories you've already covered, and it can even build on a past post rather than repeat it. Staying non-repetitive over months is honestly one of the harder problems we've worked on, so good instinct to ask
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?
Bono AI
It adapts, not restructures. LinkedIn output leans into context and the fuller argument, X gets the sharp, compressed version of the same idea, not just a trimmed copy-paste. Same source conversation, but each platform gets written like it was drafted for that audience specifically.
Sounds like you've felt the exact pain point we built this to kill - would love for you to try
"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?
Bono AI
Own classifier, trained specifically to catch the "sounds like generic AI" pattern rather than a general AI-detection tool. Third-party detectors are built to flag AI text in general, not to measure whether something sounds like your voice specifically, which is the actual thing we're optimizing for