Show HN: AI Agents 101 – an offline iOS app that labels every demo REAL or MOCK
Share Age Rating 4+ Years Category Education Developer CENGIZ OEGER Language EN English Size 1.7 MB iPhone, iPad Learn how AI agents and language models really work — hands-on and fully offline. Every demo is labeled REAL or MOCK, so you always know exactly what's running. AI Agents 101 is an interactive field guide to how AI agents and large language models actually work — built for the curious skeptic.
- ▪Share Age Rating 4+ Years Category Education Developer CENGIZ OEGER Language EN English Size 1.7 MB iPhone, iPad Learn how AI agents and language models really work — hands-on and fully offline.
- ▪Every demo is labeled REAL or MOCK, so you always know exactly what's running.
- ▪AI Agents 101 is an interactive field guide to how AI agents and large language models actually work — built for the curious skeptic.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,828 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
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 | App Store |
| Canonical URL | https://apps.apple.com/us/app/ai-agents-101/id6792491701 |
| Publication time | Thu, 06 Aug 2026 11:46:45 +0000 |
| Retrieval time | 2026-08-06T11:55:47.126Z |
| Last seen | 2026-08-06T11:55:47.126Z |
| 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 | bxVh33t7-Aqg · 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
AI Agents 101 Learn LLMs & neural networks. Free · Designed for iPad. Not verified for macOS. Share Age Rating 4+ Years Category Education Developer CENGIZ OEGER Language EN English Size 1.7 MB iPhone, iPad Learn how AI agents and language models really work — hands-on and fully offline. Every demo is labeled REAL or MOCK, so you always know exactly what's running. AI Agents 101 is an interactive field guide to how AI agents and large language models actually work — built for the curious skeptic. Learn from the source, not the hype. No accounts. No ads. No tracking. No internet required. Everything runs on your device. WATCH AGENTS WORK See a live two-agent Writer ↔ Reviewer loop pass work back and forth until it's approved — a feedback loop you can actually watch, step by step.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at App Store.