Show HN: An AI agent runs ten web errands a day, every transcript published
agentability The ShowThe IndexGuidesMethodologyGitHub Agentability · an open experiment on the agentic web · a new episode every day Can AI agents actually use the web? Every transcript is published verbatim, wins and failures alike. Alongside the show, 113 well-known sites are scored on how usable they actually are for an agent.
- ▪agentability The ShowThe IndexGuidesMethodologyGitHub Agentability · an open experiment on the agentic web · a new episode every day Can AI agents actually use the web?
- ▪Every transcript is published verbatim, wins and failures alike.
- ▪Alongside the show, 113 well-known sites are scored on how usable they actually are for an agent.
Hacker News (AI / LLM) files mainly under ai. We currently carry 7,810 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 | Agentability |
| Canonical URL | https://agentability.org/ |
| Publication time | Tue, 06 Oct 2026 22:00:58 +0000 |
| Retrieval time | 2026-10-06T22:14:02.654Z |
| Last seen | 2026-10-06T22:14:02.654Z |
| 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 | ri2JuZ3dTGhP · 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
agentability The ShowThe IndexGuidesMethodologyGitHub Agentability · an open experiment on the agentic web · a new episode every day Can AI agents actually use the web? We find out in public, every day. An AI producer reads what the world is searching that morning and turns it into ten real errands — what time is kick-off and on which channel, what magnitude was the quake, what does it cost, what actually happened — and a real AI agent attempts them using nothing but plain web requests: no logins, no JavaScript, no human help. Every transcript is published verbatim, wins and failures alike. Alongside the show, 113 well-known sites are scored on how usable they actually are for an agent.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Agentability.
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