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How we taught our AI coworker to take No for an answer

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How we taught our AI coworker to take No for an answer
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Jul 31, 2026·8 min readHow we taught our AI coworker to take no for an answerOur AI coworker, Claudius, named after the model he was powered by initially, has come a long way in the last 6 months. Back in January, before Slack handles for Claude were a thing, we had this crazy idea: What if we just installed the Anthropic SDK on our GitHub Actions VMs and made it listen to events by Linear? We quickly realized it would be helpful if we could ping it from Slack channels, GitHub, Slack DMs, cron jobs and Notion, roughly in this order.

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Hacker News (AI / LLM) files mainly under ai. We currently carry 3,026 of its stories.

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Taktile
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Record

Original publisherTaktile
Canonical URLhttps://engineering.taktile.com/blog/claudius/
Publication timeFri, 31 Jul 2026 09:59:05 +0000
Retrieval time2026-07-31T10:07:37.352Z
Last seen2026-07-31T10:07:37.352Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
ClusterwC_6BN4ET0jl · 1 stories
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

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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

Jul 31, 2026·8 min readHow we taught our AI coworker to take no for an answerOur AI coworker, Claudius, named after the model he was powered by initially, has come a long way in the last 6 months. Back in January, before Slack handles for Claude were a thing, we had this crazy idea: What if we just installed the Anthropic SDK on our GitHub Actions VMs and made it listen to events by Linear? We quickly realized it would be helpful if we could ping it from Slack channels, GitHub, Slack DMs, cron jobs and Notion, roughly in this order. All of these features were added by Claudius himself (we asked about pronoun preference - he didn’t have one, so the ‘he’ throughout is our choice, not its).

Excerpt limited to ~120 words for fair-use compliance. The full article is at Taktile.

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