Field Report: AI Research Partner Fails Peer Review, Prompting Methodology Codification

A geologist/geophysicist who uses Claude Opus for complex, multi-file, multi-week projects reported a failure in AI-assisted research analysis. The user asked Claude to critically evaluate an offshore wind industry-funded study reporting high bird avoidance rates at wind turbines. Claude produced a confident six-point analysis with real citations and fluent delivery.
When the user verified the sources, four points fell apart. The citations were real but couldn't carry the weight assigned to them - contextual literature was dressed up as direct rebuttal. The study still had limitations: small sample, onshore-only results, no peer review. The avoidance rates were likely real for the conditions tested, but the question remained whether they hold for nocturnal migrants at lit offshore turbines.
The user had to rebuild the evidence from scratch to produce an evaluation that actually holds up. They then codified the methodology so future evaluations start on solid ground from the first draft. The user is still actively using Claude for research analysis, noting these systems make it sustainable.
The user provided two resources: a blog post detailing the experience and a GitHub repository containing the codified methodology. The GitHub repository includes a system prompt for research projects that establishes operational discipline for AI-assisted analysis.
📖 Read the full source: r/ClaudeAI
👀 See Also

Unlocking Efficiency: Evenrealities Order Tracker Enhances OpenClaw's Capabilities
Discover how Evenrealities Order Tracker optimizes OpenClaw users' experience, further bridging AI automation and streamlined management.

Developer Creates 3D GitHub City Visualization Using Claude Code in One Day
A developer built Git City, a 3D visualization where GitHub users appear as pixel art buildings with height based on commits and width on repositories, using Claude Code exclusively in one day. The project uses Next.js, Three.js, Supabase, and Vercel.

Developer shares SALT system prompt approach for more collaborative AI interactions
A developer with 80+ Claude sessions found treating the AI as a participant rather than a tool improved output quality. The resulting SALT system prompt framework is available on GitHub.

Coordinating Multiple AI Agents: Discord, Cron Jobs, and Clear Hierarchy
A developer running three OpenClaw agents solved coordination problems by using Discord as a shared communication channel, replacing Paperclip's expensive heartbeat system with per-agent cron jobs, and establishing a clear leadership hierarchy between Claude Max and OpenAI models.