OpenAI’s Agents API Can Resume Work. It Cannot Prove the Work Succeeded
Agents API session recovery is not transaction proof. Learn how to verify external outcomes, reconcile retries, and preserve evidence.
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AI Agents & Automation
Explore ideas, explanations, and practical perspectives.
Google’s Managed Shell Sandbox Is GA—But the Security Boundary Is Still Yours
Google's Managed Shell sandbox is GA. Learn why agent command security boundaries and authorization controls remain your responsibility.
OpenAI Can Run the Agent Loop—But It Cannot Own Your Business Controls
OpenAI runs the agent execution loop, but enterprise business controls, failure audits, and idempotency must stay under your ownership.
OpenAI’s Agents API Is a Managed Control Plane—Adopt It Only If Retention, Lock-In, and Cost Pass Your Pilot
OpenAI's Agents API as a managed control plane: an architectural breakdown of data retention, lock-in, and cost thresholds before pilot adoption.
OpenAI’s Agents API Makes the Harness a Service—But State Ownership Should Decide Adoption
Evaluating OpenAI's Agents API harness: why state ownership, compaction, and approval gates should dictate your agent adoption strategy.
The Enterprise AI Playbook: Designing for Resilience, Privacy, and Choice
Enterprise AI Playbook: a strategic guide to designing resilient, privacy-first AI architectures with flexible model routing and choice.
Gemini 3.8 Flash: Google’s New Workhorse for Long-Horizon AI Agents
Gemini 3.8 Flash: verified API settings, introductory pricing, benchmark limits, and a bounded code-review example without safety guarantees.
Claude Fable 5.1: The Practical Upgrade for Long-Running AI Work
Claude Fable 5.1: cache-write and read costs, OSWorld scoring differences, safe SDK handling, and the limits of vendor benchmarks.
Grok 3 Beta: What xAI’s Reasoning-Agent Release Actually Changed
A Grok 3 Beta retrospective: Think versus DeepSearch, benchmark pitfalls, source checks, and a practical evaluation worksheet.
Build a Minimal Tool-Calling AI Agent in Python
Step-by-step guide to building a minimal, reproducible tool-calling AI agent in Python with bounded retries and safety checks.