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    <title>AgentBurn — blog</title>
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    <description>The independent ledger of what AI agents actually cost: tokens per task, cost per solved task and framework overhead, with per-field provenance for every number.</description>
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      <title>Agent framework token overhead: AutoGen vs LangGraph vs CrewAI</title>
      <link>https://getagentburn.com/blog/agent-framework-token-overhead/</link>
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      <description>The same tool-use task costs 379 tokens per run in AutoGen and 4,382 in CrewAI — an 11.6x orchestration tax measured on matched runs. What causes it, when it matters at fleet scale, and how to measure your own stack.</description>
      <pubDate>Mon, 02 Nov 2026 00:00:00 +0000</pubDate>
      <category>Agent frameworks</category>
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      <title>Claude Code vs Codex CLI: reading the cost tables correctly</title>
      <link>https://getagentburn.com/blog/claude-code-vs-codex-cost/</link>
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      <description>Two coding agents, the same benchmark family, a 10x token spread. What the published rows actually compare — and which differences come from the harness rather than the model.</description>
      <pubDate>Mon, 02 Nov 2026 00:00:00 +0000</pubDate>
      <category>Agent economics</category>
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      <title>How to estimate a monthly AI agent bill (with the formula)</title>
      <link>https://getagentburn.com/blog/monthly-agent-bill-formula/</link>
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      <description>Runs per day × tokens per task × blended price, plus retries and success rate. A worked estimate across three agent profiles, and the places where the model is weakest.</description>
      <pubDate>Mon, 02 Nov 2026 00:00:00 +0000</pubDate>
      <category>Agent economics</category>
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      <title>Retry overhead: the 31% of an agent bill nobody budgets</title>
      <link>https://getagentburn.com/blog/agent-retry-overhead/</link>
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      <description>Debug-and-retry loops are the largest single token line in the Claude Code workflow split. How to measure retry overhead and what it does to cost per solved task.</description>
      <pubDate>Mon, 02 Nov 2026 00:00:00 +0000</pubDate>
      <category>Agent economics</category>
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      <title>Prompt caching and the agent bill: what a 90% hit rate is worth</title>
      <link>https://getagentburn.com/blog/prompt-caching-agent-cost/</link>
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      <description>Cached input is priced at a fraction of fresh input, but only if the prefix is stable. A sensitivity model across the 22 models in the dataset.</description>
      <pubDate>Mon, 02 Nov 2026 00:00:00 +0000</pubDate>
      <category>Agent economics</category>
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      <title>Seats, credits, tokens: comparing AI agent pricing units</title>
      <link>https://getagentburn.com/blog/agent-pricing-units/</link>
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      <description>Agentforce sells 20 credits per action; Copilot Studio meters 2/5/10 credits; coding agents quote per task. How to normalize the units before comparing vendors.</description>
      <pubDate>Mon, 02 Nov 2026 00:00:00 +0000</pubDate>
      <category>Agent economics</category>
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      <title>Agent ROI: the break-even math against a human baseline</title>
      <link>https://getagentburn.com/blog/agent-roi-break-even/</link>
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      <description>Cost per solved task only matters next to what the human alternative costs. A break-even formula with worked examples from the calculator human baseline.</description>
      <pubDate>Mon, 02 Nov 2026 00:00:00 +0000</pubDate>
      <category>Agent economics</category>
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      <title>How to read a coding-agent leaderboard without being misled</title>
      <link>https://getagentburn.com/blog/read-coding-agent-leaderboard/</link>
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      <description>SWE-bench Verified, Terminal-Bench 3.0 and the AA Coding Agent Index measure different things on different task sets. A checklist for reading the rows.</description>
      <pubDate>Mon, 02 Nov 2026 00:00:00 +0000</pubDate>
      <category>Agent benchmarks</category>
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      <title>When benchmarks stop helping: instrument your own agent</title>
      <link>https://getagentburn.com/blog/when-to-instrument-agent-telemetry/</link>
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      <description>Published benchmarks describe products, not your stack. What telemetry adds, what it costs to instrument, and the minimum viable measurement set.</description>
      <pubDate>Mon, 02 Nov 2026 00:00:00 +0000</pubDate>
      <category>Measurement</category>
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      <title>llms.txt and crawler policy for an agent data site</title>
      <link>https://getagentburn.com/blog/llms-txt-ai-crawler-policy/</link>
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      <description>What we publish for AI crawlers — llms.txt, llms-full.txt, ai.txt, robots content signals — and what actually gets read. A practical checklist for tool sites.</description>
      <pubDate>Mon, 02 Nov 2026 00:00:00 +0000</pubDate>
      <category>GEO and AI search</category>
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    <item>
      <title>What 20 of 30 agent projects don&apos;t publish — and why that matters</title>
      <link>https://getagentburn.com/blog/agent-cost-data-gaps/</link>
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      <description>Only three projects in the dataset publish tokens per task. The provenance tiers that keep an agent cost database honest, and what to do when a vendor publishes nothing.</description>
      <pubDate>Mon, 02 Nov 2026 00:00:00 +0000</pubDate>
      <category>Measurement</category>
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      <title>Cost per solved task: the agent metric vendors leave out</title>
      <link>https://getagentburn.com/blog/cost-per-solved-task/</link>
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      <description>Cost per task flatters agents that fail. Divide by success rate and the benchmark leaderboard changes order. Worked examples from SWE-bench Verified rows and the formula AgentBurn uses.</description>
      <pubDate>Sat, 31 Oct 2026 00:00:00 +0000</pubDate>
      <category>Agent economics</category>
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      <title>AI agent cost per task: the unit that predicts your bill</title>
      <link>https://getagentburn.com/blog/ai-agent-cost-per-task/</link>
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      <description>Agent prices are quoted per seat, per credit or per million tokens. Tokens and cost per task are the only units that survive contact with production — here is what the published numbers actually show.</description>
      <pubDate>Thu, 29 Oct 2026 00:00:00 +0000</pubDate>
      <category>Agent economics</category>
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