Articles & field notes

Casey BloomMay 6, 2026

Prompt template libraries operators reuse

This guide walks through prompt template library with field-tested framing for teams focused on AI workflow adoption. It pairs concrete examples with what to measure early, where initiatives stall, and how to keep changes lightweight enough to survive busy quarters—without adding another tool tax.

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Taylor KimApril 24, 2026

Workflow risk maps before you automate

This guide walks through workflow risk map with field-tested framing for teams focused on AI workflow adoption. It pairs concrete examples with what to measure early, where initiatives stall, and how to keep changes lightweight enough to survive busy quarters—without adding another tool tax.

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Casey BloomApril 5, 2026

Training habits that survive busy weeks

This guide walks through ai training habits with field-tested framing for teams focused on AI workflow adoption. It pairs concrete examples with what to measure early, where initiatives stall, and how to keep changes lightweight enough to survive busy quarters—without adding another tool tax.

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Taylor KimMarch 21, 2026

Knowledge retrieval workflows

This guide walks through knowledge retrieval workflow with field-tested framing for teams focused on AI workflow adoption. It pairs concrete examples with what to measure early, where initiatives stall, and how to keep changes lightweight enough to survive busy quarters—without adding another tool tax.

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Casey BloomMarch 4, 2026

Support drafting with review gates

This guide walks through support drafting review with field-tested framing for teams focused on AI workflow adoption. It pairs concrete examples with what to measure early, where initiatives stall, and how to keep changes lightweight enough to survive busy quarters—without adding another tool tax.

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Taylor KimFebruary 12, 2026

Manager visibility during AI rollout

This guide walks through manager rollout visibility with field-tested framing for teams focused on AI workflow adoption. It pairs concrete examples with what to measure early, where initiatives stall, and how to keep changes lightweight enough to survive busy quarters—without adding another tool tax.

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Casey BloomJanuary 27, 2026

AI usage policies teams follow

This guide walks through ai usage policy with field-tested framing for teams focused on AI workflow adoption. It pairs concrete examples with what to measure early, where initiatives stall, and how to keep changes lightweight enough to survive busy quarters—without adding another tool tax.

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Taylor KimJanuary 8, 2026

First AI pilots that earn a second budget

This guide walks through first ai pilot with field-tested framing for teams focused on AI workflow adoption. It pairs concrete examples with what to measure early, where initiatives stall, and how to keep changes lightweight enough to survive busy quarters—without adding another tool tax.

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Casey BloomJanuary 16, 2026

A one-page model evaluation sheet for non-ML managers

This guide walks through model evaluation sheet with field-tested framing for teams focused on AI workflow adoption. It pairs concrete examples with what to measure early, where initiatives stall, and how to keep changes lightweight enough to survive busy quarters—without adding another tool tax.

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Taylor KimFebruary 1, 2026

Citation checks for RAG workflows that legal will not hate

This guide walks through rag citation checks with field-tested framing for teams focused on AI workflow adoption. It pairs concrete examples with what to measure early, where initiatives stall, and how to keep changes lightweight enough to survive busy quarters—without adding another tool tax.

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Casey BloomFebruary 19, 2026

Prompt-injection guardrails for internal copilots

This guide walks through prompt injection guardrails with field-tested framing for teams focused on AI workflow adoption. It pairs concrete examples with what to measure early, where initiatives stall, and how to keep changes lightweight enough to survive busy quarters—without adding another tool tax.

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Taylor KimMarch 6, 2026

Human-in-the-loop checkpoints that do not bottleneck nights

This guide walks through human in loop checkout with field-tested framing for teams focused on AI workflow adoption. It pairs concrete examples with what to measure early, where initiatives stall, and how to keep changes lightweight enough to survive busy quarters—without adding another tool tax.

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Casey BloomMarch 24, 2026

Cost-per-task visibility without demoralizing creators

This guide walks through cost per task visibility with field-tested framing for teams focused on AI workflow adoption. It pairs concrete examples with what to measure early, where initiatives stall, and how to keep changes lightweight enough to survive busy quarters—without adding another tool tax.

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Taylor KimApril 9, 2026

Deciding fine-tune vs prompt engineering with a blunt scorecard

This guide walks through fine tune vs prompt with field-tested framing for teams focused on AI workflow adoption. It pairs concrete examples with what to measure early, where initiatives stall, and how to keep changes lightweight enough to survive busy quarters—without adding another tool tax.

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Casey BloomApril 28, 2026

Audit trails for AI actions that IT can actually query

This guide walks through audit trail for ai with field-tested framing for teams focused on AI workflow adoption. It pairs concrete examples with what to measure early, where initiatives stall, and how to keep changes lightweight enough to survive busy quarters—without adding another tool tax.

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