Shell + Skills + Compaction: Tips for long-running agents that do real work
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developers.openai.com 8
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This article strongly resonates and has clear angles for your perspective
Quick Take
This is exactly the kind of concrete, implementation-focused AI content Brian thrives on. OpenAI just shipped production-ready agent primitives that could directly impact his fintech work (webhook processing, data analysis) and side projects (automation workflows). The practical tips and real performance metrics from Glean make this highly actionable.
Relevant Domains
AI/agents/future of software work ✓ Engineering craft/architecture/productivity ✓ Side projects/automation/earning from skills ✓
Blog Angles
1
"I Built My First Production Agent with OpenAI's New Skills API - Here's What Actually Works"
Thesis
Your Hook
2
"Why OpenAI's Agent 'Skills' Are Actually Just Good Engineering Patterns"
Thesis
Your Hook
3
"The Hidden Costs of Long-Running Agents (And How to Actually Make Them Work)"
Thesis
Your Hook
4
"From Side Project to Agent Workflow: Automating My Print-on-Demand Business"
Thesis
Your Hook
Key Quotes
Skills reduce prompt spaghetti by moving stable procedures and examples into a reusable bundle
Combining skills with open network access creates a high-risk path for data exfiltration
Design for long runs early with container reuse and compaction
Tags
#ai-agents
#openai-api
#production-ai
#automation
#fintech-engineering
#serverless-patterns
#side-projects