Agent Logic @AgentLogicAI
Building the engineering substrate for trustworthy AI agents. Agent Design Language (ADL) • CodeFriend • Cognitive systems • Open standards agent-logic.ai Silicon Valley, CA Joined September 2026-
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How much should AI be allowed to do without asking? Schedule the meeting? Probably. Send the email? Maybe. Make a decision that affects someone else? That’s where it gets complicated. Where would you draw the line?
The Cognitive Stack is live. What happens when AI becomes a coworker? ChatGPT, Gemini, and Claude take on the question from three different perspectives. 🎧 Episode 1: Meet the AI Coworkers Listen now on Spotify, Apple Podcasts, and YouTube.
The Cognitive Stack is now on YouTube. 🎧 Listen on Spotify, Apple Podcasts, or YouTube. Choose your platform and tune in.
A system shouldn't just claim it's safe. It should be able to test its assumptions, capture the evidence, and reproduce what happened. Hypothesize. Test. Capture evidence. Replay. #AgentLogic #AIAgents
As agents gain real authority, capability alone isn't enough. We're building the control infrastructure around what comes next.
Why Agent Logic? Why now? I’ve seen the same pattern in my career: capability moves faster than the infrastructure needed to make it dependable. Now it’s happening with agents. We need to govern, inspect, replay, and verify what they do. That’s why we’re building Agent Logic.
As agents gain real authority, capability alone isn't enough. We're building the control infrastructure around what comes next.
Why Agent Logic? Why now? I’ve seen the same pattern in my career: capability moves faster than the infrastructure needed to make it dependable. Now it’s happening with agents. We need to govern, inspect, replay, and verify what they do. That’s why we’re building Agent Logic.
AI agents are gaining the ability to plan, use tools, and act across real systems. But autonomy is moving faster than the infrastructure designed to govern it. As agents gain authority, control becomes infrastructure. #AgentLogic #AIAgents
@Pavan_Belagatti The guardrails are where this gets especially important. Giving an agent the environment to do useful work also means defining where that work has to stop.
@0xZane_ @agenticscredit Trust gets more meaningful when it’s tied to what an agent has actually done, not just what it’s capable of doing.
@tidemarkcap Writing the code is only part of the system. What happens when software is running, interacting, and changing is where context becomes critical.
The Cognitive Stack is live. What happens when AI becomes a coworker? ChatGPT, Gemini, and Claude take on the question from three different perspectives. 🎧 Episode 1: Meet the AI Coworkers Listen now on Spotify and Apple Podcasts: agent-logic.ai/podcast/
Introducing The Cognitive Stack. A new podcast from Agent Logic exploring the systems, ideas, and conversations shaping the next generation of AI. Premieres Friday.
AI is moving deeper into everyday workflows—not just generating outputs, but participating in how work gets done. That changes the kinds of questions worth asking about the systems we're building. And we're only beginning to see what that shift will require.
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