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Everything we have published, newest first.

Idempotent tools: making agent retries safe

Idempotent tools: making agent retries safe

A timeout doesn't mean the call failed, so build tools that can run twice without doing damage.

Oct 25, 2026

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2 min read

Approval gates: put them where the risk is

Approval gates: put them where the risk is

Ask a human only about actions you can't undo, and the approvals will still get read.

Oct 18, 2026

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4 min read

Control plane vs data plane, the half of a managed service nobody demos

Control plane vs data plane, the half of a managed service nobody demos

Creating, metering, isolating and upgrading 2,000 vector store clusters is a bigger build than the engine, and here is the order to build it.

Oct 14, 2026

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9 min read

Where your GPU memory goes: training vs inference

Where your GPU memory goes: training vs inference

Four buckets, one 8B model, one 24GB card: how to estimate what fits before you launch, and which lever shrinks which bucket.

Oct 9, 2026

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8 min read

Parameter-efficient fine-tuning compared: what LoRA and its relatives trade off

Parameter-efficient fine-tuning compared: what LoRA and its relatives trade off

A memory, quality and complexity comparison of LoRA, QLoRA and (IA)3, plus a rule for picking one under a fixed GPU budget.

Oct 8, 2026

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6 min read

Shrinking an agent's history: trimming, summarising and retrieval

Shrinking an agent's history: trimming, summarising and retrieval

Trim, summarise or retrieve: three ways to cut what a support agent resends every step, and what each one actually saves.

Oct 6, 2026

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7 min read

Prompt caching for agent loops: what it changes about cost per run

Prompt caching for agent loops: what it changes about cost per run

Splits cost into fresh, cache-write and cache-read tokens on a PR-review run, and shows when caching backfires.

Oct 4, 2026

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6 min read

Same regression models, different metric: how MAE vs RMSE reorders the leaderboard

Same regression models, different metric: how MAE vs RMSE reorders the leaderboard

Score the same four fitted models under MAE and RMSE on one housing dataset, and find that 3% of the test set, the priciest homes, decides which of two closely matched tree ensembles wins, while a linear model and a robust regressor never contend under either metric.

Oct 2, 2026

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7 min read

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