Most Claude guides explain the basics. We find the edge cases, document the failures, and publish what actually happens when you push the model to its limits. That is the only way to know if a technique actually works.
Who We Are
ClaudeAIGuide.com is an independent research publication run by the Cole Bridges Research Lab, a team of AI logic auditors who work with Claude on live production environments daily. We are not affiliated with Anthropic PBC. We are researchers who test every claim before it goes on this site.
Every technique, benchmark, and framework published here is stress-tested on a live Claude model before publication. If we cannot reproduce a result, we do not publish it. Each verified page carries a seal naming the exact model it was tested on and the month it was checked, so you always know how old a result is. Anthropic ships new Claude models every few months, so our re-test queue is worked in traffic order.
What Makes This Site Different
Anthropic already explains what Claude can do. Thousands of blogs copy that explanation. We do not compete with that. Our focus is the opposite: what Claude gets wrong, where it breaks, and how to engineer around those failures.
Every page on this site is built around one question: what can go wrong, and what is the fix? That pivot from tutorial to stress-testing source is what separates technical credibility from generic AI content.
Our Research Focus Areas
- Instruction Drift, documenting when and why Claude ignores early prompt instructions in long sessions
- XML-Anchoring, testing which tag placements re-focus model attention most reliably across Sonnet-class models
- Silent Failure Detection, identifying confident but mathematically wrong outputs before they reach clients
- Context Window Stress, measuring where reasoning quality degrades across the 1M token context window
- Safety Refusal Accuracy, tracking false positive refusal rates on legitimate technical queries
The Cole Bridges Research Lab Network
ClaudeAIGuide.com is part of the Cole Bridges Research Lab brand, which also operates PromptSmarterAI.com, a live prompt engineering toolkit where the frameworks documented here are built and tested. Think of ClaudeAIGuide as the deep-dive technical documentation, and PromptSmarterAI as the hands-on implementation tool.
No AI-generated placeholders. Every guide is written, tested, and reviewed by a human researcher on the Cole Bridges team. Model verification: results are stamped with the model and month tested. Current published set was run on Sonnet 4.6, May 2026, and is being re-run against the current models.
Trust Signals
- Model Verification: every guide names the model and month it was tested; re-tests follow each new Anthropic default
- Logic audited for System-Prompt Integrity and Instruction Hierarchy compliance
- Cross-referenced against PromptSmarterAI Labs framework library
- No AI-slop content, every claim is reproducible
Found an Error?
AI moves fast. If you find a technique that no longer works as documented, or a result that differs from what we published, we want to know. Report an error here, we review every submission and update the relevant page within 72 hours.
Put These Techniques to Work
Get 10 done-for-you Claude prompt templates built and verified by the Cole Bridges Research Lab. Copy, paste, save hours.
Get the $27 Prompt Pack →This site exists because AI advice goes stale faster than almost any other topic. A guide written against last quarter's model is often wrong by the time you read it. The standard here is simple: every technique is tested on a named model, every page carries the month it was checked, and results that have not been re-run on current models are labeled as dated snapshots instead of being quietly presented as current. That is the whole editorial promise, and it is the reason to trust a dated finding over an undated one anywhere online.
Sources: Anthropic: About Claude · Stanford HAI: 2026 AI Index