AI and the Red Queen
The article discusses the rapid pace of AI development and its impact on product building. It warns that AI can lead to overbuilding and loss of product‑market fit if customer feedback is ignored. The author recommends focusing on fundamentals, staying customer‑centric, and experimenting with small side projects to adapt to change.
- ▪AI enables faster product development, but customer feedback loops remain slow.
- ▪AI’s additive nature makes it easy to overbuild and overspend while underserving customers.
- ▪Maintaining product‑market fit requires focusing on fundamentals, prioritizing the customer, and running small experimental projects.
- ▪Complacency is identified as a major risk, and the article emphasizes that change is the only constant in the industry.
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Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Hunter Software Consulting |
| Canonical URL | https://huntersoftwareconsulting.com/posts/2026-06-14-ai-red-queen/ |
| Publication time | Sun, 14 Jun 2026 21:29:29 +0000 |
| Retrieval time | 2026-06-14T22:13:02.798Z |
| Last seen | 2026-06-14T22:13:02.798Z |
| 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 | None |
| Cluster logic | Not yet clustered, or no peer story found in the clustering window. |
| 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 |
Rights status (four layers)
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.
Opening excerpt (first ~120 words) tap to expand
AI & The Red Queen June 14, 2026 3-minute read Engineering • Product“My dear, here we must run as fast as we can, just to stay in place. And if you wish to go anywhere you must run twice as fast as that.” ― Lewis Carroll, Alice in WonderlandI find myself returning to quote, time and time again. AI is moving so fast. How can you possibly hope to keep up?The Builder’s Dilemma Link to heading“If you build it, you must maintain it” - I think this is my quote (Inspired by Wayne’s World “If you book them, they will come”).Building a product has inertia. The sunk cost fallacy exists. Once something exists, once people pay for it (or god forbid you go freemium and they don’t), it is tangible. Changing it can be painful.This represents danger.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Hunter Software Consulting.
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