Prompt Engineering Is Dead: What Matters in 2026
The prompt engineering they sold you is dead. The magic incantations stopped mattering. What matters in 2026 is diagnosing how the model fails. No fluff.
Posts about prompts
50 ChatGPT Prompts That Actually Work (2026)
50 tested prompts for work, study, coding, and creativity. Work on ChatGPT, Claude, DeepSeek and other LLMs. Copy, paste, and adapt to your case.
Prompt Engineering: diagnose the failure before rewriting
Prompt engineering from a real 17-iteration experiment: the model knew the answer and discarded it. A 4-type failure taxonomy to stop iterating blindly.
Taxonomy of LLM failures
Language models fail in four distinct ways. Each requires a different fix: prompt tuning, RAG, fine-tuning, or guardrails. A practical taxonomy.
The model knows how to reason. It just won't commit
17 prompt iterations revealed that the model finds the correct answer but self-censors for not being standard
More tokens doesn't mean better results
How an exhaustive meta-prompt caused context overflow and reached the same error on a random walk problem
3 Coins, Tails Always Even: Is It 0 or 1/13?
P(heads)=1/3, number of tails is always even. Is P(all heads) 0 or 1/13? Both are valid — full math, why AI always picks wrong, and how to fix it.
Why LLMs Reject Their Own Correct Answers
Two-Box separates contexts so the LLM reviews without bias. Problem: counterintuitive answers get discarded.