
How we built olddogs.ai with lots of agents but zero slop
These days we’re constantly going through a loop of generative imaging to explore alternative designs, picking our favorites and asking for refined image options, then letting models implement in code, and finally having them verify their work with screenshots.We shared an agent skill for this workflow below. You can repeat the loop to your heart’s content, prompting for different design vibes, and refining vision without constraining yourself in code. Don’t build anything yet.34 options generatedYouI like these three.
- ▪These days we’re constantly going through a loop of generative imaging to explore alternative designs, picking our favorites and asking for refined image options, then letting models implement in code, and finally having them verify their w
- ▪You can repeat the loop to your heart’s content, prompting for different design vibes, and refining vision without constraining yourself in code.
- ▪Don’t build anything yet.34 options generatedYouI like these three.
Hacker News (AI / LLM) files mainly under ai. We currently carry 7,292 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 | Hacker News (AI / LLM) |
| Canonical URL | https://olddogs.ai/blog/how-we-made-olddogs-ai-with-ai |
| Publication time | Fri, 02 Oct 2026 11:04:43 +0000 |
| Retrieval time | 2026-10-02T11:15:56.405Z |
| Last seen | 2026-10-02T11:15:56.405Z |
| 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 | dnYL3dvJcfOZ · 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
BlogHow we built olddogs.ai with lots of agents but zero slopA few small tools let us turn agents loose and build a site we’re proud of.Ben KamensSeptember 29, 20265 min read · longer if you play1Have your agent draw, then code2Build an in-app design jig3Build a standalone app jig4Raise your agent’s ambitionsLive: the olddogs.ai homepage headerHover over the scene or pick a dog.HoverboardBuilderComputerRocketBalancing01Draw, then code02In-app design jig03Standalone app jig04Raise your agent’s ambitionsEverything on our homepage was made by prompting agents.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Hacker News (AI / LLM).