AI Agent Operations
Agent Costs Safety and Operations Guides and Resources
Evaluate long-running agents through task metrics, tokens, SSD writes, hardware, API risks, and hosting costs.
Persistent agents face limits in hardware, bills, and incident recovery. Agent evaluation, token use, the Codex SSD investigation, PC configuration, API risks, and Vercel cost analysis provide concrete checks; the storage tool supports local inspection. Establish measurement methods and workload intensity before choosing reversible actions. One incident or heavy automation setup should not be generalized to every user.
Articles and supporting resources
Use the titles and summaries to find the question closest to yours. Resource entries lead to their preview and download pages.
- Article Codex SSD Writes: My Local Logging Investigation My Codex SSD write investigation covers local SQLite logs, analytics settings, measured write rates, trigger mitigation, tradeoffs, and rollback.
- Article Why I Advise Against Using Unofficial APIs: Lessons from a Former Seller Drawing from my experience selling them, I strongly advise against using unofficial APIs. They pose severe security risks that can compromise your production.
- Article PCs in the AI Era: Built for Agents First In the AI era, PC selection has shifted. Prioritize high RAM and sustained throughput over local model performance to power efficient, concurrent AI agents.
- Article Anthropic: A Study in Hypocrisy An in-depth look at Anthropic's risk management and model competitiveness. We explore the user experience of Claude bans and its rivalry with ChatGPT in coding.
- Article Vercel for Indie Hackers: Why Your Free Tier Might Lead to a Surprise Bill Don't let Vercel costs catch you off guard. Learn how to optimize caching, limit API usage, and secure your serverless functions to avoid unexpected bills.
- Article AI Safety Audit: Can AI Accidentally Cause Harm? | Uncle Fruit's AI Daily Can AI trigger accidental harm in high-stakes real-world decisions? We explore shifting AI safety from model alignment to system auditability and accountability.
- Article Why AI Agents Use So Many Tokens: Claude Code and Codex Why AI agents use so many tokens: Claude Code and Codex examples, tool calls, growing context, and practical ways to assess cost and ROI.
- Article AI Agent Interview: How to Answer and Land Remote Agent Developer Offers Master the three-layer Agent evaluation framework: resource efficiency, task effectiveness, and system robustness. Use quantified scorecards to drive development decisions and land offers.