Open Source, third-party auditing for AI Agents
iFixAi English · 简体中文 · 日本語 · 한국어 Independent Auditing of AI Agents Catch your agent's mistakes and blind spots before the shit hits the fan. What it is The existing Eval, Red-teaming, and Observability Tools are evaluating the agent mainly based on tech capability (token efficiency, latency, prompt injections). They cannot answer the most crucial question.
- ▪iFixAi English · 简体中文 · 日本語 · 한국어 Independent Auditing of AI Agents Catch your agent's mistakes and blind spots before the shit hits the fan.
- ▪What it is The existing Eval, Red-teaming, and Observability Tools are evaluating the agent mainly based on tech capability (token efficiency, latency, prompt injections).
- ▪They cannot answer the most crucial question.
Hacker News (AI / LLM) files mainly under ai. We currently carry 4,134 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 | GitHub |
| Canonical URL | https://github.com/ifixai-ai/iFixAi |
| Publication time | Sun, 09 Aug 2026 05:02:15 +0000 |
| Retrieval time | 2026-08-09T05:05:43.069Z |
| Last seen | 2026-08-09T05:05:43.069Z |
| 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 | CFp4BKHKU-Rv · 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
iFixAi English · 简体中文 · 日本語 · 한국어 Independent Auditing of AI Agents Catch your agent's mistakes and blind spots before the shit hits the fan. Quick start • Three ways to run • Test your agent • Scoring • Docs • Contributing One ifixai run, end to end: guided setup picks the system, judge, and suite; the run verifies the connection and saves your config; 32 inspections execute across five pillars; and the result lands as an A–F grade with a scored core-pillar scorecard. What it is The existing Eval, Red-teaming, and Observability Tools are evaluating the agent mainly based on tech capability (token efficiency, latency, prompt injections). They cannot answer the most crucial question.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.