I let an AI agent run my job search: the real numbers, including the LLM bill
2026-07-24I let an AI agent run my remote-job search. Here are the real numbers — including the LLM bill.I'm a backend developer in São Paulo looking for a remote role paid in USD. The real grind of that search isn't interviewing — it's the pipeline: trawling job boards, judging fit, filling the same Greenhouse/Lever/Workable forms again and again, then watching the inbox so a recruiter reply doesn't rot for two days.
- ▪2026-07-24I let an AI agent run my remote-job search.
- ▪Here are the real numbers — including the LLM bill.I'm a backend developer in São Paulo looking for a remote role paid in USD.
- ▪The real grind of that search isn't interviewing — it's the pipeline: trawling job boards, judging fit, filling the same Greenhouse/Lever/Workable forms again and again, then watching the inbox so a recruiter reply doesn't rot for two days.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,344 of its stories.
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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 | Find-best-job |
| Canonical URL | https://find-best-job.com/en/blog/agent-job-search-real-numbers |
| Publication time | Fri, 24 Jul 2026 13:05:05 +0000 |
| Retrieval time | 2026-07-24T13:17:46.118Z |
| Last seen | 2026-07-24T13:17:46.118Z |
| 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 | u0ZX9MBGs5gL |
| 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
2026-07-24I let an AI agent run my remote-job search. Here are the real numbers — including the LLM bill.I'm a backend developer in São Paulo looking for a remote role paid in USD. The real grind of that search isn't interviewing — it's the pipeline: trawling job boards, judging fit, filling the same Greenhouse/Lever/Workable forms again and again, then watching the inbox so a recruiter reply doesn't rot for two days. So I built an agent that runs the entire cycle autonomously, and pointed it at my own search. This is the data from the first four days — including the part that almost killed the project: the LLM bill.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Find-best-job.
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