My Best Mental Models I Use to Work with AI
#015: The Mental Models I Use to Work With AI20 mental models for getting better outputs from agents and clearer signal from the chaos around them.Mete PolatJul 02, 20263155ShareHi. I’m back from my summer break that I spent traveling and tinkering. Now, back to our regularly scheduled programming.This week, I wanted to do something a bit different.
- ▪#015: The Mental Models I Use to Work With AI20 mental models for getting better outputs from agents and clearer signal from the chaos around them.Mete PolatJul 02, 20263155ShareHi.
- ▪I’m back from my summer break that I spent traveling and tinkering.
- ▪Now, back to our regularly scheduled programming.This week, I wanted to do something a bit different.
Hacker News (AI / LLM) files mainly under ai. We currently carry 2,791 of its stories.
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 | Substack |
| Canonical URL | https://metedata.substack.com/p/015-the-mental-models-i-use-to-work |
| Publication time | Wed, 29 Jul 2026 14:48:13 +0000 |
| Retrieval time | 2026-07-29T15:03:14.981Z |
| Last seen | 2026-07-29T15:03:14.981Z |
| 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 | iFaFZMtgVTpC · 1 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 |
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
#015: The Mental Models I Use to Work With AI20 mental models for getting better outputs from agents and clearer signal from the chaos around them.Mete PolatJul 02, 20263155ShareHi. I’m back from my summer break that I spent traveling and tinkering. Now, back to our regularly scheduled programming.This week, I wanted to do something a bit different. Instead of deep diving into one specific idea, I’m going wide and putting together a list of my favorite mental models that guide the way I work with and understand AI. The world of AI is opaque - both the models themselves and the rapidly evolving industry around them. Mental models are a way to map the territory so you can find your way through.Most of these models took shape in my own head through trial and error.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Substack.
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