How we built a browser agent with Jev instead of an LLM
All postsHow We Built the Fastest, Cheapest Browser Agent with JevIronBee Express runs a nine-action checkout in 6.7 seconds for $0.0005 in model cost. Here is what we ask Jev, what we show it, how it judges a run, and when we hand the wheel to an LLM.Serkan OzalOct 5, 202627 min readA real run at 1x speed: 9 actions in 6.7 s, and $0.00054 of Jev for the whole run. The clip above is a real run at normal speed.
- ▪All postsHow We Built the Fastest, Cheapest Browser Agent with JevIronBee Express runs a nine-action checkout in 6.7 seconds for $0.0005 in model cost.
- ▪Here is what we ask Jev, what we show it, how it judges a run, and when we hand the wheel to an LLM.Serkan OzalOct 5, 202627 min readA real run at 1x speed: 9 actions in 6.7 s, and $0.00054 of Jev for the whole run.
- ▪The clip above is a real run at normal speed.
Hacker News (AI / LLM) files mainly under ai. We currently carry 7,638 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 | IronBee AI |
| Canonical URL | https://ironbee.ai/blog/how-we-built-the-fastest-cheapest-browser-agent-with-jev |
| Publication time | Mon, 05 Oct 2026 14:00:53 +0000 |
| Retrieval time | 2026-10-05T14:12:39.084Z |
| Last seen | 2026-10-05T14:12:39.084Z |
| 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 | TAnyzC7wb2G9 · 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
All postsHow We Built the Fastest, Cheapest Browser Agent with JevIronBee Express runs a nine-action checkout in 6.7 seconds for $0.0005 in model cost. Here is what we ask Jev, what we show it, how it judges a run, and when we hand the wheel to an LLM.Serkan OzalOct 5, 202627 min readA real run at 1x speed: 9 actions in 6.7 s, and $0.00054 of Jev for the whole run. The clip above is a real run at normal speed. IronBee Express signs in to our demo shop, buys an iPhone 15 Pro with an address and a card, and waits until the order page says COMPLETED. Nine actions, 6.7 seconds. The decision engine, Jev, cost $0.00054 for that whole run. That includes the review at the end. There is no LLM in that loop.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at IronBee AI.
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