Blog archive

Copilot went usage-based and bills spiked. The fix is a runtime budget cap at the call site.

Uber caps every employee at $1,500/month per AI coding tool. The real fix is a per-identity cap in code, not a policy memo.

Set -ngl 99 in llama-cli and the GPU still sits idle? The flag isn't the bug. What -ngl (--n-gpu-layers) does, the 30-second load-log check, and the 5 real causes ranked by how often they bite.

Prompt instructions are a request. API contracts are a wall. Why I moved my blog QA gate out of the prompt and into the server.

My blog repair loop chewed on a stale draft for 23 mornings and reported "blocked" every time. The fix was not a smarter retry. It was a TTL and a heal path.

Scheduled tasks exit 0 even when the work never happened. Here is the outcome layer I built on top of my agent fleet, and why it shipped before any new dashboard.

Google found the first AI-built zero-day in a planned mass-exploitation event. A builder's read on what changes for small operators running agents.

AI billing is shifting from seats and tokens to outcomes. If you cannot tie an agent run to a dollar of work, you are paying for vibes.

Every dashboard was green and zero blog posts went live. Exit codes tell you the job ran, not that the outcome happened. Here is how to check the real artifact instead.

Agents fake their way through your signup form today. auth.md, WorkOS's open protocol already live at Cloudflare and Resend, swaps the form for a Markdown contract. Agent Verified vs User Claimed.

Claude Opus 4.8 dropped May 28, 2026. Same price as 4.7, higher SWE-bench scores, and a model that flags its own mistakes. Here is what actually changed if you build AI agents.

MIT Tech Review says the AI-jobs hysteria is overstated. The real story is cost discipline, not displacement.

If Microsoft can't absorb agent inference costs, neither can you. Make the cap a config change, not a memo.

Starbucks pulled its AI inventory tool after 9 months. Here is the pattern that killed it and three guardrails that catch it.

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.

Recent events highlight the growing need for user control and autonomy in the digital world. Discover how engineering AI agents on your own hardware empowers true digital freedom, safeguarding your data and decisions against centralized forces.

The AI world is buzzing, but recent events highlight the critical need for secure and efficient AI agents. Discover practical engineering steps for building reliable automation directly on your hardware.

From 2026-05-10 through 2026-05-17 I tightened the AgentGuard story, cleaned up site trust issues, and got a cleaner read on where autotrader still lags passive.

As the AI world heats up, learn how to build AI agents that prioritize user control and transparency. Discover practical strategies for creating observable and accountable automation on your own hardware.

In the new era of AI, simply building smart agents isn't enough. Discover how to architect automated systems for true accountability, user trust, and ethical operation, empowering local AI developers.

As the AI industry heats up with legal battles and ethical debates, discover how to engineer AI agents that prioritize user control, privacy, and adaptability, ensuring they remain valuable on your hardware.

Tom Tunguz called it localmaxxing. I run a 3070 + 5070 Ti + 5090 in one box and serve Llama 3.1 8B locally every day. Here are the real tokens-per-second, the real watts, and the real cost per million tokens.

SaaStr data shows enterprise AI share shifting hard toward Claude. The lesson isn't pick Claude. It's stop hard-coding one vendor.

AI-native software is shipping at roughly 17% gross margins while traditional SaaS sits near 70%. The token bill ate the unit economics. Here's what's actually broken and how to claw margin back.