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    <description>Guides on running work that people and AI agents share.</description>
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    <lastBuildDate>Fri, 21 Aug 2026 09:00:00 GMT</lastBuildDate>
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      <title>Where to put a human checkpoint on an agent</title>
      <link>https://cognibl.com/blog/where-to-put-a-human-checkpoint</link>
      <guid isPermaLink="true">https://cognibl.com/blog/where-to-put-a-human-checkpoint</guid>
      <description>Full autonomy is the wrong goal. Let an agent run through reversible steps and stop it before anything that cannot be undone: sending, deleting, charging.</description>
      <category>Control</category>
      <pubDate>Fri, 21 Aug 2026 09:00:00 GMT</pubDate>
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    <item>
      <title>What replaces velocity when agents write code</title>
      <link>https://cognibl.com/blog/what-replaces-velocity</link>
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      <description>Story points measured effort, and an agent can emit a hundred in an hour. What survives is verified throughput, first-pass rate and where the time went.</description>
      <category>Metrics</category>
      <pubDate>Fri, 21 Aug 2026 09:00:00 GMT</pubDate>
    </item>
    <item>
      <title>What is AGENTS.md, and what belongs in it?</title>
      <link>https://cognibl.com/blog/what-is-agents-md</link>
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      <description>AGENTS.md is a README for agents: the build commands, conventions and boundaries an agent needs. Over 60,000 repositories ship one. What to put in yours.</description>
      <category>Standards</category>
      <pubDate>Fri, 21 Aug 2026 09:00:00 GMT</pubDate>
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    <item>
      <title>How much agent work should a human review?</title>
      <link>https://cognibl.com/blog/how-much-agent-work-to-review</link>
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      <description>Reviewing everything stops being possible long before anyone decides to stop. Sampling deliberately, at a rate set by evidence, beats sampling by accident.</description>
      <category>Review</category>
      <pubDate>Fri, 21 Aug 2026 09:00:00 GMT</pubDate>
    </item>
    <item>
      <title>EU AI Act logging: what agents must record</title>
      <link>https://cognibl.com/blog/eu-ai-act-logging-for-ai-agents</link>
      <guid isPermaLink="true">https://cognibl.com/blog/eu-ai-act-logging-for-ai-agents</guid>
      <description>Article 12 has applied to high-risk systems since 2 August 2026. It requires automatic, lifetime event logs, which rules out a self-reported trace.</description>
      <category>Compliance</category>
      <pubDate>Fri, 21 Aug 2026 09:00:00 GMT</pubDate>
    </item>
    <item>
      <title>Why AI agent failures are context failures</title>
      <link>https://cognibl.com/blog/why-agent-failures-are-context-failures</link>
      <guid isPermaLink="true">https://cognibl.com/blog/why-agent-failures-are-context-failures</guid>
      <description>Agents rarely fail because the model was not capable. They fail because nobody told them what done meant. The 2026 data now says this out loud.</description>
      <category>Context</category>
      <pubDate>Wed, 19 Aug 2026 09:00:00 GMT</pubDate>
    </item>
    <item>
      <title>What is proof of work for AI agents?</title>
      <link>https://cognibl.com/blog/what-is-proof-of-work-for-ai-agents</link>
      <guid isPermaLink="true">https://cognibl.com/blog/what-is-proof-of-work-for-ai-agents</guid>
      <description>Proof of work here has nothing to do with mining. It is the evidence a task carries to show the work was done, and the reason a status can be refused.</description>
      <category>Proof of work</category>
      <pubDate>Wed, 19 Aug 2026 09:00:00 GMT</pubDate>
    </item>
    <item>
      <title>What is an MCP gateway, and when do you need one?</title>
      <link>https://cognibl.com/blog/what-is-an-mcp-gateway</link>
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      <description>An MCP gateway sits between your agents and your MCP servers, minting scoped tokens, enforcing policy and writing the trace. Here is when you need one.</description>
      <category>MCP</category>
      <pubDate>Wed, 19 Aug 2026 09:00:00 GMT</pubDate>
    </item>
    <item>
      <title>Measuring agentic AI: what to instrument</title>
      <link>https://cognibl.com/blog/measuring-agentic-ai-what-to-instrument</link>
      <guid isPermaLink="true">https://cognibl.com/blog/measuring-agentic-ai-what-to-instrument</guid>
      <description>Most teams running agents in production have no measurement framework at all. Here is the short list of what to instrument, and what to ignore.</description>
      <category>Metrics</category>
      <pubDate>Wed, 19 Aug 2026 09:00:00 GMT</pubDate>
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    <item>
      <title>Giving an AI agent GitHub access safely</title>
      <link>https://cognibl.com/blog/giving-an-agent-github-access-safely</link>
      <guid isPermaLink="true">https://cognibl.com/blog/giving-an-agent-github-access-safely</guid>
      <description>Do not hand an agent your personal access token. Compare deploy keys, fine-grained PATs and GitHub Apps, then scope, stage and log every write it makes.</description>
      <category>Security</category>
      <pubDate>Wed, 19 Aug 2026 09:00:00 GMT</pubDate>
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    <item>
      <title>First-pass verification rate, explained</title>
      <link>https://cognibl.com/blog/first-pass-verification-rate</link>
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      <description>First-pass verification rate is the share of agent tasks that pass on attempt one. It measures the quality of your specification, not the quality of your agent.</description>
      <category>Metrics</category>
      <pubDate>Wed, 19 Aug 2026 09:00:00 GMT</pubDate>
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    <item>
      <title>Cycle time for agent work: the four phases</title>
      <link>https://cognibl.com/blog/cycle-time-for-agent-work</link>
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      <description>One cycle-time number hides where the time actually went. Split it into spec, build, verify and settle, and the bottleneck in agent work becomes obvious.</description>
      <category>Metrics</category>
      <pubDate>Wed, 19 Aug 2026 09:00:00 GMT</pubDate>
    </item>
    <item>
      <title>Cognibl vs Linear: speed, plus a done-gate</title>
      <link>https://cognibl.com/blog/cognibl-vs-linear</link>
      <guid isPermaLink="true">https://cognibl.com/blog/cognibl-vs-linear</guid>
      <description>Linear is faster and better designed than we are, and its workflow is deliberately fixed. The difference is what happens when an agent says a task is done.</description>
      <category>Comparison</category>
      <pubDate>Wed, 19 Aug 2026 09:00:00 GMT</pubDate>
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    <item>
      <title>Cognibl vs Jira: proof before a status change</title>
      <link>https://cognibl.com/blog/cognibl-vs-jira</link>
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      <description>Jira can gate a transition, through validators. What differs is what gets checked: field input you configure, or evidence against a definition of done.</description>
      <category>Comparison</category>
      <pubDate>Wed, 19 Aug 2026 09:00:00 GMT</pubDate>
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    <item>
      <title>Agent governance vs observability vs verification</title>
      <link>https://cognibl.com/blog/agent-governance-vs-observability-vs-verification</link>
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      <description>Three tools that sound alike and answer different questions: what happened, what is allowed, and whether the work is actually acceptable. Only one gates done.</description>
      <category>Category</category>
      <pubDate>Wed, 19 Aug 2026 09:00:00 GMT</pubDate>
    </item>
    <item>
      <title>Writing a definition of done an AI agent can pass</title>
      <link>https://cognibl.com/blog/definition-of-done-for-ai-agents</link>
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      <description>A definition of done written for a person is a reminder. Written for an agent it is a specification, and the difference shows up in your first-pass rate.</description>
      <category>Definition of done</category>
      <pubDate>Tue, 18 Aug 2026 09:00:00 GMT</pubDate>
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    <item>
      <title>How to verify what an AI agent actually did</title>
      <link>https://cognibl.com/blog/how-to-verify-ai-agent-work</link>
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      <description>Reading every diff does not scale and spot-checking misses what matters. A three-layer method: decide by machine, judge by model, sample by human.</description>
      <category>Verification</category>
      <pubDate>Mon, 17 Aug 2026 09:00:00 GMT</pubDate>
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