causal reasoning
How to Check an Agent's Diagnosis Before It Touches Production
New Causely MCP tools show which diagnoses an agent ruled out and how far a failure would spread, so teams can verify the agent's reasoning before acting in production.
ai-agents
agent-reliability
How to Operate AI Agents in Production: The Three-Layer Stack
Operating AI agents in production takes three layers: instrumentation, evaluation, and causal reasoning, including the root-cause analysis behind agent reliability.
ai-agents
Why A2A Joining the AAIF Matters
Causely joins the AAIF along with A2A from Google. Agents can now talk over an open standard, but what they say is only as good as the context they start from.
ai-agents
How Open-Inspect and Causely close the loop on autonomous remediation
Open-Inspect gives background agents an execution environment. Causely gives them a causal diagnosis. Together, they close the loop from finding to fixing.
mcp
Is access enough? Auth patterns for Claude Managed Agents
MCP tunnels let Claude Managed Agents reach and authenticate to real infrastructure, but access alone doesn't make an agent one you'd trust to run on-call.