AI does exactly what you ask — that's the problem

May 23, 2026 · 9:00 AM UTC ·8 min read · 0 reactions · 0 comments · 33 views

TL;DR · WeSearch summary

The article discusses the challenges of using AI for coding tasks, particularly how current models interpret prompts literally. It emphasizes the importance of providing context and clear instructions to achieve better results. The author shares insights on structuring prompts effectively to improve AI responses in programming.

Key facts

▪Current AI models like Claude and GPT-4o take prompts literally, which can lead to unusable outputs if the prompt lacks context.
▪A well-structured prompt should include elements like stack/context, precise task, constraints, and expected output.
▪Improving prompt quality can lead to a 30-39% enhancement in AI response accuracy.

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2 outlets in our directory ran this story, first to last over 19 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.

Centre · 1

▪ You and Your Stats Are Smarter Than Your App and That's a Problem — Yahoo Sports

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DEV.to (Top) files mainly under programming. We currently carry 4,924 of its stories.

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Record

Original publisher	DEV.to (Top)
Canonical URL	https://dev.to/ohugonnot/ai-does-exactly-what-you-ask-thats-the-problem-bje
Publication time	Sat, 23 May 2026 09:00:02 +0000
Retrieval time	2026-05-23T09:07:26.171Z
Last seen	2026-05-23T09:07:26.171Z
Headline source	Publisher (no WeSearch rewrite)
Excerpt source	publisher body
Excerpt method	First ~120 words (~800 chars) of extracted publisher body, fair-use limited.
Summary	WeSearch · cerebras-chat (WeSearch summarizer)
Summary source text	contentText
Citation coverage	Summary is a WeSearch-generated derivative; primary citation is the original publisher URL.
Cluster	SsNo1M0udXC6 · 2 stories
Cluster logic	Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reason	Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visit	Yes — open original
Substitutes article?	No — link-out required for full text

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WeSearch handling by dimension

Indexing	May the item be indexed (stored, ranked, made findable)?	Allowed
Snippet	May a short excerpt of the publisher's text be shown?	Allowed
AI summary	May WeSearch generate its own short summary of the article?	Limited
Retrieval / RAG	May the content be exposed for third-party retrieval-augmented generation?	Not asserted
Model training	May the content be used to train AI models?	Not asserted
Commercial reuse	May the content be reused commercially?	Not permitted

Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Open original publisher → Source rights JSON → Machine-readable provenance → Rights framework → WESEARCH-STORY-PROVENANCE-V1

Opening excerpt (first ~120 words) tap to expand

try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3833552) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Odilon HUGONNOT Posted on May 23 • Originally published at web-developpeur.com AI does exactly what you ask — that's the problem #ai #claude #promptengineering #workflow I asked Claude to add pagination to a product list. Response in 30 seconds: clean, functional, complete. And completely disconnected from the rest of the app. Wrong pagination component (we already had one), invented styles, existing filters broken. Technically correct. Unusable as-is.

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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).

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