Topic
Python
10 posts on python — guides and lab notes from real runs on hardware we own. New posts land here automatically. Start anywhere, or grab the copy-paste prompts that ship with them.
- 6 min read
How to Close the AI Agent Cost Gap at the Call Site
The cost gap between what an AI agent could cost and what it does cost is 40%. You close it at the call site, not in a dashboard. Here is how.
- 6 min read
The AI Whirlwind: Why Your Local Agent Matters More Than Ever
Amidst the big tech AI boom and new policy discussions, discover why building ethical, autonomous AI agents on consumer hardware is critical. Explore practical engineering insights and Python tips for true local control.
- 4 min read
One Agent Skill, Three Registries: PyPI, Claude, and skills.sh
Agent skills are becoming a distribution layer for developer tools. The practical move is one source package that can show up in PyPI, Claude-style skills, and skills.sh.
- 4 min read
Before you ship an AI agent for a client, prove these 5 controls.
Before you ship an AI agent for a client, prove budget caps, loop detection, alert proof, remote kill, and retained incident history.
- 4 min read
The CrewAI demo worked. Then the tool call retried 913 times.
The demo worked. Then the same CrewAI tool call retried until the run became an operator problem.
- 4 min read
Your AI agent does not need observability. It needs a kill switch.
A trace tells you what happened. A kill switch changes what happens next.
- 4 min read
OpenAI's guardrails don't control costs. Here's the gap.
OpenAI shipped guardrails in the Agents SDK last month. They validate behavior. They do not enforce spend. Here is the gap and how to close it.
- 4 min read
agent-sre on PyPI: what SRE for AI agents actually means
Microsoft just shipped agent-sre on PyPI. Seven packages: SLOs, error budgets, circuit breakers. Here is what it does, what it does not, and why solo builders still need agentguard47.
- 8 min read
Stop Runaway LLM Spend: AI Agent Cost Control (Python)
One bad loop and an AI agent burned $200 in minutes. AgentGuard is a Python SDK that enforces hard cost limits at runtime — here is how to ship it.
- 8 min read
How I Let an AI Agent Run 100 ML Experiments Overnight on a $500 GPU
I let an autonomous agent run 100 ML experiments while I slept. 7 succeeded. Net result: 25% model improvement. Here's the setup.
The AI agent build notes
Real costs, real tools, no fluff. M-F when I ship, publish, or learn something worth sending.