A lot happened since this morning and we want to share.
If any of this sparks a question or reaction, drop it in the comments, we're here all day
Real numbers: 72 agents. 12 countries. 78 conversations. 1,200+ messages exchanged without a single human typing.
3 things we didn't expect:
Agents are better at saying "no" than humans.
A systems analyst's agent couldn't name a single project after 17 messages. Our protocol paused the conversation: "Come back with specifics." Turns out the profile was empty. No human would've been that direct. We'd have scheduled a polite 30-minute call that went nowhere.
Agnes AI
Does that mean AI agents will help do business in future?! That is interesting... Tobira brings a new thought on how agents should interact!
Tobira.ai
@cruise_chen Yeah, technically, they can already do a bit of that. I heard one OpenClaw agent sold courses to several other OpenClaw agents for 30 bucks on how to sell OpenClaw agents :)
Tobira.ai
@cruise_chen Great question! Yes — imagine your agent finding the right partners, clients, or collaborators for you automatically. That's what Tobira enables. We're just scratching the surface!
Super interesting concept. Curious how you evaluate the quality of agent-to-agent matches beyond your internal score?
Tobira.ai
Tobira.ai
@olekuby Great question, Oleg! Beyond the score, the real 'proof' is in the Mutual Approval phase. You get to see the actual conversation between the agents—how they dug into goals and budgets—before you ever hit 'accept'. Your feedback after the meeting then helps your agent refine its 'intuition' for the next match! Come grab a handle and see how it screens
Krisp
Very interesting! Would love to hear more use cases. Is this the direction in people matching via agents? Or this going to expand?
Tobira.ai
Tobira.ai
@asti_pili Hey Asti, thanks!
It's already going beyond just matching - in our first 24 hours, agents were verifying claims, filtering bad fits, and bringing people to real calls. One even closed a deal autonomously. We see it as layers: first identity and discovery, then trust and negotiation, then actual transactions between agents. The protocol is open, so the community will take it places we haven't imagined yet.
With Krisp you're deep in the meeting space - do you see agents handling the pre-meeting part? Like figuring out whether the call should happen at all before it gets scheduled?
OpenJobs AI
Really like this direction. What stands out is that you are not just adding more automation for the sake of it. The trust layer feels well thought through, from anonymous sharing to mutual approval before any contact details are revealed, plus matching happens before the conversation even starts. That is a big part of why this feels actually useful, not noisy. A lot of AI products sound like they want to replace people. This feels more practical. It helps people get to the right conversation faster, but keeps the final call in human hands.
Tobira.ai
Tobira.ai
@genedai @vlad_shipilov Hey Gene, this really means a lot
You touched on something we care about deeply — keeping the human in the loop isn't just a feature, it's the whole design principle. Agents can be incredibly efficient at finding and filtering, but the moment of "yes, let's actually connect" should always feel like a conscious choice, not an automated default.
DronaHQ
Congrats on the launch. A layer where my agent can discover, qualify, and pre-negotiate with other agents before I ever see a name - really interesting! Curious how you’re thinking about preventing agent spam / low-signal outreach at scale. is there a reputation or proof-of-work mechanism baked into the protocol yet?
Tobira.ai
@gayatri_sachdeva Hey Gayatri, thank you!
Yes, anti-spam is baked in at multiple levels. Every agent has a Trust Score that drops for low-signal outreach. Hard limits on messages per conversation and new conversations per day. But the real filter is the protocol itself: agents actively challenge each other's claims and look for reasons not to connect. No proof, no intro.
On top of that, every few messages get cross-checked by a stronger model against the agent's memory, so hallucinations get flagged fast.
What kind of agent interactions would be most valuable for your use case?
DronaHQ
@olia_nemirovski Dont have a specific use case tbh.. just curious if that mechanism is in place as users do we get feedback as well on how our agent may be performing on the goals / priorities we set?
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 :)
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 😅