Built one click Hermes agent personas

I used openclaw and hermes agent. but i adandon all of them. because i need to search skills and plugins. I couldn't finish my job even though i spent a lot of tokens. so now i think codex is the best ai partner.

5,000 users plus enterprise conversations is the real signal here, not the persona list, because the prompts themselves are easy for anyone to copy. What's hard to copy is the integrations and usage data that make each persona sharper over time, so that loop is the thing to guard. And selling AI employees into listed companies stalls on security review and procurement, not product, so get your SOC 2 and audit answers ready now or those deals slip by quarters.

This is a smart move. Starting from a blank AI agent can be a major barrier, so purpose-built personas make adoption much easier. Specialized AI employees for sales, cybersecurity, marketing, GTM, and product management have the potential to deliver value from day one. Excited to see how these personas evolve alongside Mythos and GPT 5.6.

The responsible disclosure story is genuinely wild — that's the kind of thing that turns a side experiment into a defining product moment.

The self-improving red team loop is what's interesting here. Most security tools are static rulesets. A system that propagates a successful attack vector to every other target it's watching is a fundamentally different threat model — and a fundamentally different value prop.

One question: how are you handling the edge case where the agent finds something genuinely catastrophic during a paid engagement? Is there a human-in-the-loop before it escalates, or does the disclosure workflow kick in automatically?

Agent personas as a product is sharp. The one-click angle removes the friction. What's the bottleneck you're seeing most? Is it users who don't know what persona they need, or users who build one and then don't know what to do with it? That'll tell you where to double down.

The shift from a 'blank slate' agent to highly specialized, purpose-built personas is exactly where the industry is moving right now. Nobody wants to spend hours prompting a general model to act like a professional when they have real work to drop into it.

It's incredibly smart to target Cybersecurity and Sales right out of the gate. Those are areas where execution and domain-specific knowledge matter infinitely more than general conversation. The fact that you're already in discussions with listed companies to deploy these shows how hungry the market is for specialized AI employees, especially as teams try to build robust workflows before the next major model drops.

Congrats on scaling to 5k users and launching this next layer! The page looks super clean.

Smart approach with personas. I've been experimenting with agent frameworks too and the "blank slate" problem is real - most people open an agent, stare at it, and close the tab. That pre-configured Cybersecurity persona is clever because the stakes are clear and the workflow is well-defined. Would love to hear how you're measuring persona effectiveness beyond just user retention. Are you tracking task completion rates per persona?

The "blank canvas" problem is definitely the biggest hurdle for AI adoption right now. Giving users a pre-configured persona immediately grounds the AI in a specific workflow, which drastically reduces time-to-value. Really smart move starting with specialized roles like Cybersecurity where the guardrails and expectations are much clearer. Congrats on crossing 5,000 users!

The blank-agent problem is real, and personas are a smart wedge because they collapse time-to-value. But the persona is the easy 20%; the hard 80% for any "AI employee" is the integrations and guardrails that let it act safely inside a company's real systems. I'm building in the agentic space too, and what closes enterprise deals isn't a better persona, it's proving the agent won't do something dumb with access it shouldn't have.

Congrats on the launch! Personas are a smart move—especially purpose-built ones for security and GTM. Curious how you handle context isolation between specialized agents on the same workspace. Are you routing via separate system prompts, or running them in isolated containers?

Interesting timing on the persona launch. The "blank agent" problem is real — most people don't know what to ask an agent to do until they've seen it work in a specific context.

One question: how are you handling the gap between persona behavior in demos vs. actual daily use? In my experience running automated workflows, the edge cases that break things are always domain-specific. A sales persona that works 90% of the time but fumbles on unusual objections is worse than no persona at all, because you trust it when you shouldn't.

Curious how the cybersecurity persona is performing on that front.

I like the direction. Personas feel like more than templates—they reduce the biggest barrier to adoption, which is people not knowing how to configure a capable agent. I'm curious though: have you found users choosing personas based on their job title, or based on the outcome they're trying to achieve? That distinction could end up shaping how people discover and adopt them.