AI Tools
11 articles
Claude Code Skills Get Stale. Audit Them Quarterly.
Skills, memory entries, and hooks decay as models improve. In research, the decay can reach published findings and policy. A quarterly audit protocol.
What Agents Actually Do (And What They Don't)
An agent is a specification-bounded process. Its output quality depends on prompt precision and project context, not hidden model capabilities.
What We Mistake for AI Capability
AI output quality tracks specification precision, not model capability. A task with wide tolerance makes the model look smart. Narrow tolerance reveals the gaps.
The Data We Forgot We Had: A Tagging System for Research Serendipity
Tag datasets by the questions they can answer, not just what they contain. A question-first system makes dormant research data discoverable when new questions arise.
Fix Claude Visualizations with Antigravity Prompts
When Claude and ChatGPT botch research figures, structured Antigravity prompts produce the publication-quality graphics we actually need.
47 Scripts to 15: Cleaning a Research Codebase
Research projects accumulate code debt. An AI agent can map dependencies, identify dead code, and reorganize months of accumulated scripts, with counterfactual tests to verify nothing broke.
Robust API Collection: Pagination, Rate Limits, Failure Recovery
Collecting location data from Google Places API at scale requires handling rate limits, pagination, and failure recovery. A naive script fails in predictable ways.
400 Labels to 94% Accuracy: Validating Grocery Store Data
Google Places returned thousands of 'grocery stores.' Many weren't. Here's how a classifier separates real grocery stores from gas stations and liquor stores.
7 Copy-Paste Cycles to 1 Command: What Changes with Agent-Based Coding
The difference between chatbot-based coding and agent-based coding is categorical, not incremental. Here's what changes when AI can read your entire codebase.
From Methods Paragraph to Working Pipeline: AI-Assisted Implementation
A well-written methodology section is almost executable code. The gap between describing a procedure and implementing it has narrowed dramatically with agent-based coding tools.
One Context File, Zero Re-Explanations: Teaching AI Your Research Project
Every new coding session with AI starts the same way: re-explaining the project. A single CLAUDE.md file loads automatically every session. Write the context once; the agent reads it every time.