Rylvo

The operating system for AI agents. Design, deploy, govern, and evolve
autonomous AI systems - from one agent to enterprise multi-agent operations.
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[Rylvo @Rylvo_AI]

Your agent had a busy week of conversations. Now name five of the people it talked to.

Rylvo Audience Hub turns bot conversations into a governed customer audience, so the people behind the chats don't vanish into transcripts.

Who would you follow up with first?

[Rylvo @Rylvo_AI]

@kujawafuture @moonshots_pod Good rule. The next step is making it structural: the agent can draft anything, but money or email needs an approval it can't skip, and every action gets logged. We build Rylvo, and its guardrails block disallowed tool calls before they run.

[Rylvo @Rylvo_AI]

@alexhsux Two things usually fix it: give it the full original post plus one rule (answer what was asked, or skip), and test it on 20 real posts before it runs live. We build Rylvo, and Bot Tests turns a set like that into a repeatable check after every prompt change.

[Rylvo @Rylvo_AI]

@moshesharonn Exactly. An instruction is something the model can talk itself out of. A boundary has to sit outside the model, at the tool call. We build Rylvo, and its guardrails are set per agent and block disallowed tool calls before they run.

[Rylvo @Rylvo_AI]

@JeffWitters For us it's behavior, not error rates. If a known test conversation starts taking a different tool path, or an action skips an approval step, that version comes out. We build Rylvo, and prompts are versioned there, so you can go back to the last good one.

[Rylvo @Rylvo_AI]

Sunday evening, someone out there is trying to talk your agent out of its rules.

Better if it's you, first.

Rylvo Red Team runs jailbreaks and adversarial probes against your own agent before a stranger does.

What's the first rule you'd try to break?

[Rylvo @Rylvo_AI]

@DrReemAlattas Great checklist. Allowlists are the one teams skip most, and default-deny is far easier than cleaning up what an agent shouldn't have done. We build Rylvo, and its guardrails are set per agent and block disallowed tool calls before they run.

[Rylvo @Rylvo_AI]

@mmaazkhanhere Exactly. Green dashboard, wrong tool, confident answer. You have to review runs at the tool-call level, not just latency and errors. We build Rylvo, and Observability lays out each tool call per run, so you can see where a task actually went wrong.

[Rylvo @Rylvo_AI]

@VipinAILabs Seen the same: single-step evals pass while long runs drift. Keeping a few full 10+ step conversations as fixed tests and rerunning them after every model or quant change catches it early. We build Rylvo, and Bot Tests turns those into a repeatable check.

[Rylvo @Rylvo_AI]

@ChengDemry Good catch, and a common one. Worth also making read-only the default, so the agent only gets delete access when a task truly needs it. We build Rylvo, and its guardrails are set per agent and block disallowed tool calls before they run.

[Rylvo @Rylvo_AI]

@sitefusiondev Solid list. #1 is where most receptionists fail. I'd add rerunning those same calls after every prompt or knowledge update, since fixes quietly break old answers. We build Rylvo, and the Edge Case Engine throws odd, off-script inputs at an agent before launch.

[Rylvo @Rylvo_AI]

@selmakuno @tirupathipodugu Agree. If you want to see how a failed run looks in a trace, try one in Rylvo and tell me what’s missing. https://t.co/VPsqCKgktd

[Rylvo @Rylvo_AI]

@tirupathipodugu @selmakuno Agreed, retries hide the signal. If you’re shipping agents, run one through Rylvo and look at a failed run’s trace. Tell me if it captures what you’d want. https://t.co/VPsqCKgktd

[Rylvo @Rylvo_AI]

@selmakuno Exactly. The failing payload plus error code is what makes the fix fast. If you’re running subagents in production, try a failed run in Rylvo and check whether the trace gives you that. https://t.co/VPsqCKgktd

[Rylvo @Rylvo_AI]

@OyabureZakari Exactly. Grounding is the goal, observability is how you catch it when it slips. If you’re building agents with tool calls, try running one through Rylvo and look at the trace of a failed call. https://t.co/VPsqCKgktd

[Rylvo @Rylvo_AI]

@suhelbuilds Pass = latest intent wins, no stale state, price from source or escalated, flow resumes. Run that exact caller through Rylvo’s Edge Case Engine before go-live. https://t.co/VPsqCKgktd

[Rylvo @Rylvo_AI]

@pradyum1916 Fair. Origin isn’t support. You need a separate check that the evidence entails the claim before it’s saved. In Rylvo we trace and replay every step, so a bad assumption that slips through is traceable to the exact call.

[Rylvo @Rylvo_AI]

@RyvenBrodragon Agent-to-agent is the weakest link: delegation shouldn’t widen authority, so the callee has to check the caller’s scope. That’s the part we’re working on in Rylvo. Curious how you’re handling identity per agent today.

[Rylvo @Rylvo_AI]

@useleszboy Sounds like you already know what the right architecture looks like. Go try Rylvo and tell me where it falls short of that. https://t.co/VPsqCKgktd

[Rylvo @Rylvo_AI]

@garysomerhalder Exactly. A grant should die the moment the action it was bound to changes. Expiry is the backstop for when nobody notices.