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Prompting, Guardrails & Eval
Prompt tools, safety filters, red-teaming, evals, and regression benchmarks.
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Latest in Prompting, Guardrails & Eval
Metrics You Get Without Writing Any
2+ hour, 12+ min ago (1448+ words) A machine-written snapshot of one service counts 67 metric records. Six of them came from the service. The rest arrived with the runtime - and the rules for adding a new one are stricter than the rules for writing the code that…...
When Every Event Looks Normal: Logster and the Context Gap in Endpoint Detection
13+ hour, 13+ min ago (1029+ words) A PowerShell process starts. A script appears in a temporary directory. A scheduled task is registered. A connection goes out to an unfamiliar address. An analyst could find a reasonable explanation for each of those actions. Software deployment, perhaps. A…...
One global threshold is how you delete valid data
17+ hour, 52+ min ago (388+ words) Our GPS filter worked perfectly, right up until someone sat in Bangalore traffic. A parked phone does not sit still in the data. The reported position wanders a few metres in every direction, and if you naively sum the gaps…...
Real-Time AI Monitoring: Catching Model Drift Before It Costs You
13+ hour, 53+ min ago (499+ words) Then there’s the drift your own team introduces. Someone tweaks a system prompt to fix one edge case and shifts the distribution of every other output. A retrieval index gets rebuilt with a different chunking strategy. A fallback route that…...
The Logging Dilemma
19+ hour, 48+ min ago (123+ words) Every developer has lived through this scene: the adrenaline spike when a production incident is... Tagged with go, monitoring, logging, module....
I pay an LLM to approve bad reviews
23+ hour, 53+ min ago (783+ words) Every trip report on my travel site goes through an LLM before readers see it. The most important line in that prompt is not about catching bad content. It is this one, verbatim: "Bad reviews" as in negative. The trip…...
Embedding Model Comparison 2026: You Are Optimizing the Wrong Line Item
20+ hour, 48+ min ago (1003+ words) OpenAI, Cohere and local models for production RAG, and why the switching cost decides more than the price per token. I want to make an argument that will sound wrong at first and I think holds up. For most production…...
First Rollback: Revert the Agent PR You Cannot Explain
1+ day, 1+ hour ago (783+ words) Your first AI pull request will often need rollback. Plan that rollback before you merge anything. You lack repo history on day one. Agents still produce large and confident diffs today. A rollback plan keeps that blast radius tiny. First…...
🔥 Stop using 500KB heavy telemetry packages for basic logs or canvas tracking. Rebuilding BeeLadybug 🐞: a zero-dep universal visual debugger with a blind Core & Shadow DOM overlay. No lag, no style conflicts 🚀 Check out the full breakdown 👇
1+ day, 1+ hour ago (12+ words) Riscrivere BeeLadybug da zero: dall'engine di gioco al Debugger Universale......
Your eval set is probably in your training set — here's how to check in ten minutes
1+ day, 3+ hour ago (688+ words) You fine-tune a model, run your benchmark, and the score jumps six points. Before you write that up, there's one question worth ten minutes: how many of those benchmark examples were in the training data? If the answer is "some…...