Add foundational blog post on runtime authority for AI agents#159
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Add foundational blog post on runtime authority for AI agents#159
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Fills the gap of a standalone explainer for the core concept. Existing content defines runtime authority through comparisons; this post defines it on its own terms with the three-way decision model, reserve/commit lifecycle, and three-layer stack (routing/visibility/authority). https://claude.ai/code/session_014dL66eV6qW3Cy5moHzJATM
- Trim description to ~200 chars for SEO (was 220) - Cut redundant prose: remove restated hook, condense intro paragraphs - Rename headers to carry keywords (e.g. "Why runtime authority matters for tool-using agents", "The three-layer model: routing, visibility, authority", "How Cycles approaches runtime authority") - Add backlinks from introducing post and cycles-vs-proxies post https://claude.ai/code/session_014dL66eV6qW3Cy5moHzJATM
- Fix available budget math: $50 - $12.40 - $0.60 = $37.00 (was $36.85) - Add concrete reserve/commit example with dollar amounts - Add inline links to body text (observability, rate limits, checker/authority) - Remove overlap: definition section no longer previews "soft guardrail" point that the "what it's not" section covers in full https://claude.ai/code/session_014dL66eV6qW3Cy5moHzJATM
- Add broadening sentence: "not only about spend... resources, actions, or exposure at all" - Section title: "tool-using agents" → "autonomous systems" - Table cell: "budget + policy check" → "permission, limits, and policy" - Widen "without runtime authority" line to include side effects and policy violations, not just spend - Add "not prompt-level safety" contrast to prevent guardrails confusion - Sharpen Cycles claim: "not a dashboard for agent costs, a protocol for runtime permissioning" - Final line: "within budget" → "permitted" https://claude.ai/code/session_014dL66eV6qW3Cy5moHzJATM
- "three-layer model" → "three-layer agent stack" - Table: add "check" to "permission, limits, and policy check" - Tighten broadening sentence: "governs whether an agent may consume resources, take actions, or create exposure — before the next step executes" https://claude.ai/code/session_014dL66eV6qW3Cy5moHzJATM
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Summary
This PR adds a comprehensive foundational blog post explaining runtime authority as a core concept for AI agents, and updates existing blog posts to reference this new content.
Changes
New blog post: "What Is Runtime Authority for AI Agents?" (
blog/what-is-runtime-authority-for-ai-agents.md)Updated blog posts: Added references to the new foundational post in:
blog/cycles-vs-llm-proxies-and-observability-tools.md— linked in "Next steps" sectionblog/introducing-cycles-blog.md— added as the first recommended starting point for understanding the core conceptNotable Details
The new post establishes runtime authority as a distinct layer in the agent stack (alongside routing and visibility), emphasizing that it is a pre-execution enforcement mechanism rather than post-hoc observability. It uses concrete examples (document processing, budget tracking) and a comparison table to clarify the conceptual boundaries between related but distinct concerns.
https://claude.ai/code/session_014dL66eV6qW3Cy5moHzJATM