chieflab_suggest_next_move
ActiveTool of ChiefLab
P75 — Next Move Engine. USE WHEN measurement just came in (chiefmo_post_launch_review fired automatically at 24h, OR the user manually called it) and you want to know what the operator should do next. Reads metrics + the original launch's brief and emits a deterministic suggestion: {kind: 'follow_up_email' | 'founder_dm' | 'thread_reframe' | 'landing_iteration' | 'lessons_learned_post' | 'seo_title_test' | 'wait' | 'noop', priority, reasoning, draftBrief: {channel, headline, body, cta?, recipients?}, measurementGroundingFacts}. Pure-function; same input → same output, no LLM. Pair with chieflab_create_next_move_action to turn the suggestion into an approval-gated draft.
Parameters schema
{
"type": "object",
"required": [
"channel",
"metrics"
],
"properties": {
"runId": {
"type": "string",
"description": "Optional. Source run whose brief grounds the suggestion (so the draft references the actual product / market / audience instead of templates)."
},
"channel": {
"type": "string",
"description": "Channel the measurement is for (linkedin, x, email, landing_hero, product_hunt, hacker_news)."
},
"metrics": {
"type": "object",
"description": "Measurement metrics — engagements, clicks, opens, replies, traffic, conversions, upvotes, rank, etc. Synonyms (engagement / openRate / clickRate / visits) are accepted."
},
"workspaceId": {
"type": "string",
"description": "Optional workspace id."
}
}
}No endpoints wrapped at confidence ≥ 0.70.
Parent server
ChiefLab
https://github.com/bdentech/chiefmo-agent
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