AI Workflow
17 articles
Well-Executed But Not Important: Reading Importance From the Published Record
LLM classification of 2,493 health-economics articles. Calibration is 35% of publications but 18% of citations; Identification +91% premium, Reframing +126%.
Cycling Through Bad Ideas Faster: A Medicaid Branding Worked Example
A two-week solo cycle through three coding rules, a controls ladder, and a behavioral-mechanism test, ending at a null. What AI compresses is the calendar time of discarding bad ideas.
A Pre-Analysis Plan for Your Coding Agent
A three-layer architecture for keeping reasoning agents disciplined: rule, gate, and verification.
Connecting Claude to Outside Services: FRED, Census, and Beyond
How to connect Claude Code to external data sources like FRED, Census, and Google Scholar, bringing integrated research workflows into natural conversation.
Hooks: Automation Without Asking
Hooks are automatic triggers that run without asking - like auto-save, but for research tasks. A power-user feature, entirely optional.
Reading Our Analysis Files: How Claude Sees Our Research Code
How Claude Code explores research projects using three core tools: Read (look at a file), Glob (find files by pattern), and Grep (search inside files).
Why It Forgot Everything: Understanding Context
Understanding how AI context windows work, why sessions reset, and how to work with this fundamental limitation of large language models.
Reading Your Own Data: What Claude Code /insights Reveals at Every Stage
How to interpret your Claude Code /insights report at beginner and intermediate levels - same data, different lessons.
Your First Session: What Claude Code Is and Isn't
A practical walkthrough of what Claude Code can and cannot do, with prompting patterns and a complete first-task example.
Research Phases Need Different Prompts
Exploration, implementation, and documentation require different AI prompting strategies. Match the prompt to the phase.
The Verification Tax: Every AI Output Needs Checking
Every AI output needs checking. Building verification into workflow to catch hallucinations before they compound.
Context Window Budgeting: Treating Tokens as a Finite Resource
Treating tokens as a finite resource, and knowing when to spawn agents versus work directly.
End-of-Session Hygiene: What to Capture Before Context Resets
What to capture before context resets, and how five minutes of capture saves twenty minutes tomorrow.
Creating Skills for Research
Skills are recipe cards for research tasks. Write the steps once, save them in a file, and Claude Code follows those instructions whenever needed.
Building Our Research System: Putting It All Together
How CLAUDE.md, skills, hooks, and MCP servers combine into a personal research system that becomes more valuable over time. Part 5 of the Advanced Tier series.
Creating Helpers: When to Delegate Work
When to create separate Claude Code helpers for focused work, how to design tasks that are easy to hand off, and patterns for running multiple helpers at the same time.
The Cold Start Problem: Why the First Five Minutes Matter Most
Why the first five minutes of an AI session matter most, and how CLAUDE.md solves the context problem.