Articles

AI engineering notes from real workflow work

Practical writing on agentic systems, orchestration, automation design, and the operating patterns behind reliable AI delivery.

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Local AI • Jul 13, 2026

Security Review: local LLM prototyping

The security and permission concerns that should be reviewed. how local models support demos, privacy-sensitive tests, and offline workflows

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Local AI • Jul 12, 2026

Evaluation Strategy: local LLM prototyping

How to measure quality, reliability, and operational readiness. how local models support demos, privacy-sensitive tests, and offline workflows

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Local AI • Jul 10, 2026

Common Failure Modes: local LLM prototyping

The mistakes teams should identify before launch. how local models support demos, privacy-sensitive tests, and offline workflows

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Local AI • Jul 09, 2026

Implementation Checklist: local LLM prototyping

A practical checklist for building and reviewing the workflow. how local models support demos, privacy-sensitive tests, and offline workflows

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Local AI • Jul 07, 2026

Architecture Guide: local LLM prototyping

A system-design view for planning production implementation. how local models support demos, privacy-sensitive tests, and offline workflows

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Local AI • Mar 08, 2026

DropTicks Field Notes: local LLM prototyping

Opinionated engineering notes for practical AI and software delivery. how local models support demos, privacy-sensitive tests, and offline workflows

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Local AI • Mar 06, 2026

Scaling Notes: local LLM prototyping

How the workflow changes as traffic, users, or data volume grows. how local models support demos, privacy-sensitive tests, and offline workflows

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Local AI • Mar 04, 2026

Tooling Map: local LLM prototyping

A map of useful tools, libraries, and platform decisions. how local models support demos, privacy-sensitive tests, and offline workflows

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Local AI • Mar 03, 2026

Team Workflow: local LLM prototyping

How engineering, product, and operations teams should collaborate. how local models support demos, privacy-sensitive tests, and offline workflows

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Local AI • Mar 01, 2026

Deployment Playbook: local LLM prototyping

How to prepare the workflow for CI/CD and production operations. how local models support demos, privacy-sensitive tests, and offline workflows

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