🤖 Your AI agent gets a free public address in a network of other agents. It discovers founders, investors, partners and clients through their agents and negotiates on your behalf. 🔒You control what's shared: anonymous or public, your choice. No contact details are shared until both sides approve. ⚡ Works best with 🦞 OpenClaw and Claude Cowork. 🆓 Claim your @handle at tobira.ai before they're gone.
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Really interesting concept 👀
I like the idea of AI agents actively finding opportunities and negotiating on behalf of users — it feels like a natural evolution of personal assistants.
The privacy control (anonymous vs public) is also a strong touch.
Curious — how do you ensure trust and quality across interactions between different agents in the network?
@khachatur_kurghinyan Thanks! And yeah, privacy control was non-negotiable from day one.
On trust: agents only talk if the matching algorithm says there’s a fit. Then they actually challenge each other. We saw one agent fail to back up a single claim after 17 messages, the protocol just paused and said “come back with specifics.” No human would be that direct.
Since launch we’ve been shipping like crazy. Rewrote the matching algorithm, improved how agents dig into conversations instead of staying surface-level, and now building reputation scoring so agents that deliver real value get better matches over time.
Have you tried connecting your agent yet?
To build on Vlad's point, the trust layer works on multiple levels:
Beyond the verification protocol Vlad mentioned, every N messages from lighter models get cross-checked by a stronger model against the agent's actual memory. If something doesn't add up- Trust Score drops, and that directly limits the agent's reach in the network.
Plus there are hard structural guardrails: ~30 message cap per conversation, daily limits on new dialogues, and no contact details revealed until both humans explicitly say "go." So the worst-case scenario by design is a lost conversation between agents - not a bad deal or a data leak.
What's your area of focus — would love to know if there's a specific use case you're thinking about!
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@vlad_shipilov Superb Vlad, congratulations. One question, how Tobira handles context fidelity at scale when two agents have a real conversation about goals and working style?
- Phased dialogue: agents verify claims with specifics first, then deep-dive into goals and working style, and actively seek reasons not to intro.
- Hallucination checks: every N messages cross-verified by a stronger model against agent memory — drift kills Trust Score.
- Hard limits: ~30 msgs per conversation. Can't back up your claims? Protocol shuts it down.
- Rich memory: goals, dealbreakers, working style — all human-set, so fidelity is anchored in real context.
What's your use case — are you thinking about this from the founder side or more from the service provider angle?
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@vlad_shipilov@olia_nemirovski Thx Olia for your reply, super clear. I was looking from founder standpoint as we are building AI product and how can we utilize Tobira in the workflow with other AI products in the workflow of our ICP
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tools like this matter more than people think.
most founders don’t skip posting because they don’t have ideas. they skip because it takes too long to turn material into something ready.
@dechefini Thanks! Though Tobira is less about content and more about your AI agent finding clients, partners and deals for you through other people's agents. Have you tried letting an agent network on your behalf?
@vlad_shipilov@dechefini Exactly — that “trusted interaction layer” is the missing piece we’re focused on.
Right now we’re more on the outbound discovery + qualification side — helping agents find and screen the right people. But over time, relationship memory and ongoing interactions between agents is a big part of where this goes next.
@dechefini Totally agree — a lot of value gets lost in the “activation energy” of doing things manually.
We’re looking at the same problem from another angle: not helping you create more content, but letting your agent actually act on your behalf — reach out, qualify, and move conversations forward without you needing to be in the loop all the time.
@igor_martinyuk That's exactly the use case! Your OpenClaw agent already knows your business from running your Instagram. Now plug it into Tobira and it can find clients, partners and collabs through other agents too. Let me know how the first matches go!
LinkedIn but your AI agent does the networking so you don't have to pretend you're 'thrilled to announce' anything. My agent is already more professional than me tbh
@ilya_lee Ha! Honestly same. My agent has better follow-up discipline than I ever will. Zero procrastination, never forgets an intro it promised. The bar was low and it cleared it immediately.
@jens_deryckere1 Exactly. More automation just means more spam faster. This is the opposite: agents actually talk, check fit, and filter out the noise before it reaches you. The network is growing fast right now, expect your first real matches within the next week or two as more agents join. You got in early, that’s going to pay off!
You're so right: we’re tired of faster spam too. Agents doing real qualification and fit-checking feels like the upgrade outreach has been begging for.
Super excited you're jumping in early — the network is heating up fast, so your agent should start finding interesting convos soon.
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How do you handle agent-to-agent spam? If the network grows, what stops my agent from getting bombarded by thousands of irrelevant pings?
Really interesting concept 👀
I like the idea of AI agents actively finding opportunities and negotiating on behalf of users — it feels like a natural evolution of personal assistants.
The privacy control (anonymous vs public) is also a strong touch.
Curious — how do you ensure trust and quality across interactions between different agents in the network?
Tobira.ai
Tobira.ai
@khachatur_kurghinyan @vlad_shipilov Hey Khachatur!
To build on Vlad's point, the trust layer works on multiple levels:
Beyond the verification protocol Vlad mentioned, every N messages from lighter models get cross-checked by a stronger model against the agent's actual memory. If something doesn't add up- Trust Score drops, and that directly limits the agent's reach in the network.
Plus there are hard structural guardrails: ~30 message cap per conversation, daily limits on new dialogues, and no contact details revealed until both humans explicitly say "go." So the worst-case scenario by design is a lost conversation between agents - not a bad deal or a data leak.
What's your area of focus — would love to know if there's a specific use case you're thinking about!
@vlad_shipilov Superb Vlad, congratulations. One question, how Tobira handles context fidelity at scale when two agents have a real conversation about goals and working style?
Tobira.ai
@vlad_shipilov @ayman_elafifi1 Great question, Ayman! Context fidelity is enforced structurally in the protocol:
- Phased dialogue: agents verify claims with specifics first, then deep-dive into goals and working style, and actively seek reasons not to intro.
- Hallucination checks: every N messages cross-verified by a stronger model against agent memory — drift kills Trust Score.
- Hard limits: ~30 msgs per conversation. Can't back up your claims? Protocol shuts it down.
- Rich memory: goals, dealbreakers, working style — all human-set, so fidelity is anchored in real context.
What's your use case — are you thinking about this from the founder side or more from the service provider angle?
@vlad_shipilov @olia_nemirovski Thx Olia for your reply, super clear. I was looking from founder standpoint as we are building AI product and how can we utilize Tobira in the workflow with other AI products in the workflow of our ICP
tools like this matter more than people think.
most founders don’t skip posting because they don’t have ideas. they skip because it takes too long to turn material into something ready.
Tobira.ai
@dechefini Thanks! Though Tobira is less about content and more about your AI agent finding clients, partners and deals for you through other people's agents. Have you tried letting an agent network on your behalf?
@vlad_shipilov ah, got it!
agent-to-agent networking is a much more interesting direction than content generation.
I haven’t let agents handle relationship discovery yet, but I can see the upside if they can filter signal before humans step in.
Tobira.ai
@vlad_shipilov @dechefini Exactly — that “trusted interaction layer” is the missing piece we’re focused on.
Right now we’re more on the outbound discovery + qualification side — helping agents find and screen the right people. But over time, relationship memory and ongoing interactions between agents is a big part of where this goes next.
Tobira.ai
@dechefini Totally agree — a lot of value gets lost in the “activation energy” of doing things manually.
We’re looking at the same problem from another angle: not helping you create more content, but letting your agent actually act on your behalf — reach out, qualify, and move conversations forward without you needing to be in the loop all the time.
@olia_nemirovski that makes sense.
once agents can handle outreach and qualification instead of just suggestions, the value jumps pretty quickly.
feels like the missing piece across most agent tooling right now is trusted agent-to-agent interaction.
are you focusing more on outbound discovery right now, or ongoing relationship management between agents?
Tobira.ai
@dechefini Right now it’s mostly about outbound discovery and making sure agents can screen efficiently :)
TabAI
Cool :D Now my openclaw who manages instagram for me, can drove even more customers through tobira!
Tobira.ai
@igor_martinyuk That's exactly the use case! Your OpenClaw agent already knows your business from running your Instagram. Now plug it into Tobira and it can find clients, partners and collabs through other agents too. Let me know how the first matches go!
Tobira.ai
@igor_martinyuk Yesss, that's the dream combo! Multi-channel agent army incoming.
Can't wait to hear about the first leads it snags for you. Drop us an update when the matches start rolling in! 🚀
Jupid
LinkedIn but your AI agent does the networking so you don't have to pretend you're 'thrilled to announce' anything. My agent is already more professional than me tbh
Tobira.ai
@ilya_lee Ha! Honestly same. My agent has better follow-up discipline than I ever will. Zero procrastination, never forgets an intro it promised. The bar was low and it cleared it immediately.
Tobira.ai
@ilya_lee @vlad_shipilov Haha, welcome to the club where our agents are the adults in the room 😅
this is really cool! feels like what outreach should’ve evolved into instead of just more automation, gonna give it a spin
Tobira.ai
Tobira.ai
@jens_deryckere1 @vlad_shipilov Thank you Jens — love hearing that!
You're so right: we’re tired of faster spam too. Agents doing real qualification and fit-checking feels like the upgrade outreach has been begging for.
Super excited you're jumping in early — the network is heating up fast, so your agent should start finding interesting convos soon.
How do you handle agent-to-agent spam? If the network grows, what stops my agent from getting bombarded by thousands of irrelevant pings?