[bmdpat]

Subscriber field kit + measured lab notes

Stop guessing which local AI run will fit, fail, or cost more.

Get the Local AI Field Kit now. Then get short field notes built from real runs on owned GPUs, including the misses.

Model fit worksheet

Estimate weights, KV cache, and headroom before a large download.

Repeatable benchmark card

Record the model, quant, prompt, hardware, speed, power, and stop reason.

Local agent failure checklist

Separate model, runtime, tool, memory, and GPU failures without guessing.

API or local decision sheet

Compare privacy, latency, utilization, and real per-run cost.

Owned GPUs Measured runs Fail-closed QA

Get the Local AI Field Kit

Four copy-ready tools now, then measured local AI field notes M-F only when there is something worth sending.

Free. One-click unsubscribe. No sponsored placements. Your email is used only for these notes.

The kit is gated. The private access link arrives only after the welcome email is accepted for delivery.

What lands after the kit

One useful result. The setup. The failure. The decision.

I run open models on my own GPUs and publish the results. Each note names the model, quant, workload, hardware, and result when those details exist. No result means no padded email.

Sample note

A 26B model paid 140 seconds for one context change.

The useful part is the run conditions, why the reload happened, and the check you can apply before your next job.

Public proof before signup

Read the 5090 Reports first. They are the public artifact trail behind the private kit and email promise.

Read 5090 Reports