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When you interact with an AI agent, you're trusting that the developer behind it actually built in the guardrails they claim. Today that trust is completely unverifiable. This is the problem Proof of Guardrails solves. Quick explainer ↓

Sahara AI 🔆

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12,203 Aufrufe • vor 4 Monaten •via X (Twitter)

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💳 PenFed Credit Union is an Agentic Enterprise. With Agentforce: • IT agent handles 75% of requests • Agents show up where work happens • Permissions + guardrails built in Because when you’re one of the largest credit unions in the U.S., manual processes can’t slow you down.

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Narcissists have an echo chamber of 1. This is what happens when you take the guardrails off with yes men only. No one there to say “no sir that is stupid.”

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Circle Agent Stack is infrastructure for the agentic economy. In this demo, watch an agent: → Create a wallet funded with USDC → Discover services in Agent Marketplace → Pay for API access through Circle Gateway → Execute financial actions with Circle CLI Built for developers creating agent systems with defined permissions and guardrails.

Circle Agent Stack is infrastructure for the agentic economy. In this demo, watch an agent: → Create a wallet funded with USDC → Discover services in Agent Marketplace → Pay for API access through Circle Gateway → Execute financial actions with Circle CLI Built for developers creating agent systems with defined permissions and guardrails.

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and btw, the Beep use case is a great example for one of our rfps that i discuss here: ai agent access control framework when you hear the vision of a beautiful and magical ai agent economy, you should always ask "who is holding the funds?" Ika「🦑」 solves that

and btw, the Beep use case is a great example for one of our rfps that i discuss here: ai agent access control framework when you hear the vision of a beautiful and magical ai agent economy, you should always ask "who is holding the funds?" Ika「🦑」 solves that

d3h3d 「🦑」

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This repo is going viral. Why? Claude Fable 5 just came back online. GPT-5.6 is on the way. Every major AI lab is racing to ship the next frontier model. But here's the question nobody's asking: how much do you actually trust the agent you're about to deploy? Someone built a way to answer that in 5 minutes instead of guessing. iFixAi reads your agent's real tools, rules, and permissions, builds a full test around them, and grades it using a completely different vendor's model. Nothing ever scores its own homework. Most teams already have red teaming in place. What they don't have is red teaming combined with operational assurance, so the checks that catch a problem before launch never actually run again once the agent is live. Here's what changes with this: - Every startup shipping an AI agent gets an independent trust score before a single customer touches it - Enterprises can finally compare Fable 5, GPT-5.6, and every other model on the exact same fixture, apples to apples - CI pipelines catch an agent's behavior silently degrading release over release - Regulators get a standardized, reproducible audit trail instead of just trusting a vendor's word 45 inspections. A to F grade. Any model, any provider. 100% open source.

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