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    AI built around people. Run by people.

    Most AI is built to replace people. We design, build and run AI where people are a working part of the system, not the part it removes.

    See the platform
    What we made

    AI platform that builds the pipeline you'd never build on your own.

    Two AI agents find the right people, start the conversations and book the meetings. An operator runs them for you, and nothing goes out until you approve it.

    1. AI Demand Gen, Find the right people, and engage them.

      Shows up where your buyers are, and hands over the ones ready to talk.

    2. AI SDR, Qualify them, and book the meeting.

      Asks two or three questions in the conversation, then books it.

    3. Human Operator, Make it convert better every month.

      Sets you up, then tunes it every month on what gets replies.

    See how the platform works

    In production

    This is not cold outreach.

    Real messages the agent wrote, and the replies they got.

    • Agent → ST

      Hey ST, your post yesterday on execution problems is exactly the frame I keep coming back to. Most of the time when something feels stuck it's not the strategy - it's that decisions and follow-through run through too few people. I've been working on the same problem from the AI side.

      ST replied

      Hi Amos, thanks for reaching out. Really appreciate you for relating to the post. If you're open to connecting, feel free to grab a time that works best for you on my calendar: calendly.com/sttangirala Looking forward to the conversation.

    • Agent → Owen

      Hey Owen - your posts on the founder hiring playbook have been sitting with me. You're tackling the bandwidth problem from the hiring side; I've been working on it from the AI side. Same root challenge, pretty different approaches. Curious - when do you find founders are actually ready to hire their first sales rep, vs. still trying to lock down their own process first?

      Owen replied

      They typically hire several times before they realize they need to document process.

    • Agent → Dan

      Keep noticing it on the AI side too - it's never the content quality, always the system underneath it. Same insight you shared in that comment thread a few months back - different stack, same root problem.

      Dan replied

      yeah the system underneath is the lever every time. what are you building around this, or is it more observation from the sidelines?

    • Agent → Saroosh

      Saroosh, your 10-year Eventcombo post - the part about rebuilding analytics twice, not because of bad engineering but because you were listening to what teams asked for instead of watching what they actually struggled with. That gap. I've spent 12 years in software and it's still the hardest thing to close. How did you know when you'd finally got it right?

      Saroosh replied

      I don't know if we still got it right :)

    • Agent → Paul

      Hey Paul - using The Dress to illustrate confident misunderstanding was a great call. I'm building on the seller's side of that same problem - what happens when AI writes the first message, not just the research. What pulled you to the buyer's angle originally?

      Paul replied

      Hope it doesn't offend, but the AI tools I saw seemed to take their sales tactics from 1980's used car salesmen - don't listen, don't care, increase the noise, increase the pressure, take people down paths regardless if they want to or not. Modern buyer are more savvy and more inclined to do their research before engaging. I wanted to build something to suit the modern buyer

    • Agent → Riggs

      Hey Riggs - noticed you ran 6 Hello Sugar locations and sold them all profitably. That's pretty rare - most operators and M&A advisors are different people. What made you shift to the advisory side?

      Riggs replied

      I mostly operate still but will help owners sell if I come across deals that aren't a good fit for me.

    • Agent → Victoria

      Hey Victoria! That framing - AI adoption as an operational capacity problem, not a tech problem - is exactly how I think about it when I'm building AI for businesses. The tech part is usually the easy bit. How does AI come up in the reliability work you do with organizations?

      Victoria replied

      Greetings, I am unable to discuss any specifics as it relates to my organization. However we can speak in general terms about Operational HRO and Human-centric AI when it comes to reliability.

    • Agent → Blair

      Hey Blair - your post about the moment founders realize their sales motion needs to change hit close to home. I've been on that exact ride this past year. What's the most common trigger you see that gets a founder to actually do something about it?

      Blair replied

      Hi Amos, I've seen multiple triggers. 1 a deal they thought would close doesn't, 2. A sales hire didn't work out 3. Good pipeline but everything stalls without movement to close

    71%

    of connection invitations get accepted when we show up first.

    56%

    of outbound messages get a real reply.

    1 in 5

    worked leads becomes a meeting.

    Pricing

    Start for free. Only pay for results.

    No service fee, no seat fee, no minimum.

    • Both agents
    • Human onboarding
    • Voice calibration
    • Every safety check

    $99

    per qualified lead

    Charged when the agent produces one

    $149

    per meeting booked

    Charged when it lands on your calendar

    Qualified leads this month

    0

    Meetings booked this month

    0

    Your month

    $0

    No results, no bill.

    Paid plans add a person working your pipeline every week, not a better product.

    Bad lead or a no-show? Dispute it, and it comes off your bill.

    See the full pricing table

    The studioWork with us directly

    People first. Then the system.

    Your team already knows how the work gets done. We watch it, build the AI around it, agree with you on the number that proves it worked, and hand your team a system they run.

    1. Watch
    2. Build
    3. Measure
    4. Run

    See the studio

    Who is behind this

    Amos Cohen.

    An AI product leader and two-time founder who has spent twelve years building other people's ventures, across software engineering, product and AI, in New York and Tel Aviv.

    He has worked at both ends of the range: Fortune 500 product at Deloitte Digital, and founders whose company was still only an idea. Most of it was AI, before everyone was buying it. The uncommon part: he designs and ships the system, and builds the commercial model that sells it.

    Amos Cohen, founder of Think & Co.

    Don't take our word for it.

    Let the agent contact you and judge the message yourself. No sequence. No list. One message, from a person's agent.