Articles

AI engineering notes from real workflow work

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

CH
ChatGPT Tips, Productivity • Apr 11, 2026

ChatGPT Tip: Use Tables For Comparison Work

Tables make choices easier when comparing tools, plans, models, vendors, or strategies.

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EM
Embeddings • Apr 11, 2026

Scaling Notes: embedding model evaluation

How the workflow changes as traffic, users, or data volume grows. how to test embeddings for search, clustering, deduplication, and recommendations

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AI
AI Infrastructure • Apr 11, 2026

Tooling Map: cost-aware AI architecture

A map of useful tools, libraries, and platform decisions. how routing, caching, batching, and evals control model spend

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Backend Engineering • Apr 11, 2026

DropTicks Field Notes: API rate limits

Opinionated engineering notes for practical AI and software delivery. how throttling, retries, queues, and budgets prevent overload

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Data Engineering • Apr 10, 2026

Implementation Checklist: dataset governance

A practical checklist for building and reviewing the workflow. how dataset quality, lineage, licensing, and privacy affect AI systems

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IN
Infrastructure • Apr 10, 2026

Evaluation Strategy: infrastructure as code

How to measure quality, reliability, and operational readiness. how teams manage cloud state, secrets, environments, and reviews

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Backend Engineering • Apr 10, 2026

Deployment Playbook: Laravel admin architecture

How to prepare the workflow for CI/CD and production operations. how to structure admin CRUD, dashboards, policies, and operational tools

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CH
ChatGPT Tips, Productivity • Apr 10, 2026

ChatGPT Tip: Make ChatGPT Produce Checklists

Checklists make AI output easier to use in real work.

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EM
Embeddings • Apr 10, 2026

Tooling Map: embedding model evaluation

A map of useful tools, libraries, and platform decisions. how to test embeddings for search, clustering, deduplication, and recommendations

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AI
AI Infrastructure • Apr 10, 2026

Team Workflow: cost-aware AI architecture

How engineering, product, and operations teams should collaborate. how routing, caching, batching, and evals control model spend

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BA
Backend Engineering • Apr 09, 2026

Scaling Notes: API rate limits

How the workflow changes as traffic, users, or data volume grows. how throttling, retries, queues, and budgets prevent overload

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DA
Data Engineering • Apr 09, 2026

Architecture Guide: dataset governance

A system-design view for planning production implementation. how dataset quality, lineage, licensing, and privacy affect AI systems

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