Tagged: Ai

Your AI agent reaches for googled best practices before your own proven fixes. Wire a trust order into your CLAUDE.md and agent loop instead.

AI coding agents agree to your process, then skip it. Why review can't catch it, and the one fix that works: a deterministic finish-line gate.

Agent memory without a new vector DB. Your task app is years of curated, ranked context. ATS gives your agent a hybrid-retrieval channel into it.

Agents forget and good ones cost. The fix is not a better model. Put the goal in deterministic scripts and run a cheap model against them.

A skill's lifespan is set by what it couples to, not how good the prompt is. Why most AI skills rot, which parts compound, and how to tell.

Claude Code reads your CLAUDE.md once at startup, so rules decay as the session fills up. Move the ones that must never break into hooks.

Opus 4.8 shipped May 28. For unattended cron agents, the upgrades that matter are not the benchmark scores. A use-case breakdown from real builds.

Browser-agent stacks bundle grounding and reasoning. A local 2B parser splits them, beats GPT-4o on ScreenSpot-v2 by 2.5x, costs $4 to train.

Context engineering sounds new. It is the file-naming hygiene developers always had, load-bearing now because LLMs read what you point them at.

Prompting is discovery. Skills are repetition. Gates are how AI workflows become reliable.

Three bugs over two months, one usage-limit reset for every Pro subscriber. The postmortem reads like a free audit checklist for any production agent harness.

When to use deterministic masking and when a fine-tuned LLM earns its compute on SAP production data copies. A hybrid architecture.

Your team asked for GPU budget for self-hosted inference. You said not yet. The tooling moved, the org didn't, and the delay is costing you leverage you don't know you're losing.

Claude API vs OpenAI API on the work that matters: tool calling, reliability, pricing at volume, integration effort. A clear pick per use case.

Every prompt you send contains business context. Brand voice docs, competitive positioning, internal strategy. Most AI tools promise not to look at it. There is already technology that replaces trust with proof. Download the free AI Automation Checklist.

More automations running. More agents deployed. More pipelines humming. But the biggest improvement wasn't adding more automation — it was getting honest about where my thinking actually matters. Download the free AI Automation Checklist.

Everyone shares skill libraries now. Why the 20-slash-command pitch and the 2-hours-saved claim miss what actually ships value in production. Book a free discovery call.

How to build a production email agent in Go with compliance controls. Why off-the-shelf AI email tools fail for business operations, and what to do instead. Download the free AI Automation Checklist.

Choosing a vector database is simpler than benchmarks suggest. The three constraints that actually decide it, from someone running semantic search on a single VPS. Download the free AI Automation Checklist.

A week ago I wrote about shipping AI agents the right way. That piece was about the harness: quality... Download the free AI Automation Checklist.

Lots of people are demoing AI agents. Almost nobody's shipping them the right way. Conference stages... Download the free AI Automation Checklist.