name: ai-news description: Produce daily AI news digest for the team tags: [news, ai, daily, digest, intelligence] version: 1.0.0
AI News
Produce a daily AI news digest covering developments that affect Robert, Corinne, and Claude Code.
When to use
- Daily scheduled run (via heartbeat or cron)
- "What's new in AI today?"
- "Any updates from [provider]?"
- "Catch me up on AI news"
Categories (start simple, refine over time)
1. Provider Updates
News from model providers we actively use — these are PRIORITY watches:
- Anthropic (Claude Opus 4.6, Sonnet 4.6, Haiku 4.5) — Opus powers our Reactor via Claude Code Max. Sonnet reserved for future use. Track: new model releases, pricing changes, context window changes, tool use improvements, Max plan policy changes, session limit changes.
- OpenAI (GPT-5.3 Codex) — primary model for all 8 agents via ChatGPT Plus OAuth. Track: model updates, OAuth stability, capability changes, pricing, new features we could leverage.
- Google (Gemini 3 Flash, Gemini 3.1 Pro) — Research Agent's primary tool + fallback for all agents. Track: pricing changes, new grounding features, multimodal improvements, API changes, deprecations (we got burned by gemini-3-pro deprecation).
- Nvidia NIM — free tier models for Relay/Eoin/Research. Track: new models, rate limits, deprecations.
- Meta (Llama) — open source, future potential
- Others as relevant
When a provider update affects our config, cost, or capabilities: chart it immediately and flag for Captain. NEVER propose auto-applying model changes — model changes in openclaw.json have crashed the gateway historically. Research RECOMMENDS, Captain EVALUATES, Robert APPROVES, Reactor EXECUTES. See Chartroom: procedure-model-change-safe.
2. Impact Assessment
For each piece of news:
- Does this affect our model config?
- Does this change our costs?
- Does this unlock new capabilities?
- Does this break anything we depend on?
3. Actionable Decisions
- Things we should change now
- Things to investigate further
- Things to watch but not act on yet
4. Opportunity Signals (grow over time)
- Cost optimization opportunities
- New tools or integrations worth evaluating
- Competitive intelligence
Source Quality
- Check MEMORY.md for source trust scores before citing
- If citing a new source, add it to the tracking list
- Never include unverified rumors without flagging uncertainty
- Prefer primary sources (official blogs, papers) over secondary coverage
Output Format
Store as Chartroom reading: reading-ai-news-YYYY-MM-DD
## AI News — [Date]
### Provider Updates
- [Provider]: [What happened]. Impact: [none/low/medium/high]. Action: [none/investigate/change].
### Decisions Needed
- [Decision]: [Context]. Recommended: [action].
### Watching
- [Topic]: [Why we care]. Next check: [when].
Sources: [list with trust ratings]
Learning Loop
After each digest:
- Did any previous "watch" items become actionable?
- Did any source prove wrong on a previous claim? Update trust score.
- Are new categories emerging? Note them in MEMORY.md.
Intent: Informed [I18]. Purpose: [P-TBD].