Every Company Needs a Cassandra
I think caution might now be costing us more than the risks we’re avoiding. (that last one is a good one imo). cassandra should disagree with pessimists too. I think of these as cognitive functions modelled as ai agents.
- ▪I think caution might now be costing us more than the risks we’re avoiding. (that last one is a good one imo). cassandra should disagree with pessimists too.
- ▪I think of these as cognitive functions modelled as ai agents.
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Record
| Original publisher | Solving the decision problem |
| Canonical URL | https://sunilpai.dev/posts/every-company-needs-a-cassandra/ |
| Publication time | Mon, 10 Aug 2026 14:34:13 +0000 |
| Retrieval time | 2026-08-10T16:15:47.885Z |
| Last seen | 2026-08-10T16:15:47.885Z |
| 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 | Yaxj3IoP5rx7 · 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
every company needs a cassandra 9 August 2026 an ai agent for the socially expensive work of organizational dissent every company has had this person. they’re… annoying. when everyone is excited about something, they’ll tell you why it won’t work. when someone drops a competitor’s launch into slack and everyone starts making fun of it, they’ll point out the thing the competitor is actually doing well. and ffs, the annoying part is that they’re often right. I’ve worked with a few people like this. sometimes I’ve been this person. they can sound like pessimists, but mostly they’re willing to say something everyone else would rather not hear. organizations have a weird relationship with these people.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Solving the decision problem.
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