It’s not just you, AI models are having some issues. I’ve seen the threads and even official bug reports, but a total drop in quality felt extreme. I just stumbled upon an incredible post from this savvy professional who argues that while models like ChatGPT and Claude have confirmed degradation periods, the real problem is often our prompts.
When an AI is having an ‘off day,’ lazy prompts are the first to fail. The post’s author points to research showing 78% of AI project failures stem from poor human-AI communication, not the models themselves. We’re quick to blame the AI because it’s easier than improving how we ask.
The mind behind it tested a framework called the DEPTH method during confirmed Anthropic and OpenAI instability, and found it delivered consistent results. It’s all about adding structure to survive those moments of AI wonkiness.
Here’s the core of the strategy:
📌 Build a Team of Experts
Instead of asking one AI to do everything, the creator suggests turning it into a collaborating team. For example, have it act as a senior developer, a QA tester, and a code reviewer. This creates an internal system of checks and balances that catches errors even when the model is struggling.
✅ Provide Extreme Clarity
This is about leaving no room for interpretation. Give the AI explicit success metrics, like specific test cases it must pass or performance standards it must meet. The person who shared it also emphasizes providing the full context: project details, tech stack, previous failed attempts, to ground the AI and reduce hallucinations.
💡 Force a Self-Critique Loop
This is my favorite part! After the AI generates a response, you command it to review its own work. The expert has it rate its own output on a scale of 1-10 for things like correctness and performance, and then revise anything that scores too low. This forces the model to double-check itself and catch mistakes it made on the first pass.
This completely re-frames how I think about prompting. It’s not about a magic phrase, but about building a solid process for the AI to follow.
The full post offers a much deeper dive into the DEPTH method with amazing examples for each step. Check out what this innovator shared if you’re tired of inconsistent AI results!
5,000 Redditors say ‘ChatGPT got dumber.’ Anthropic confirmed bugs. Here’s what still works.
byu/Over_Ask_7684 in