peopleanalyst

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Weaning Readiness

Check a baby's readiness signs before starting solids.

How it works

Deterministic sign-check (compute.ts) OVER a corpus-grounded note. Age + the 4 standard baby-led-weaning readiness signs (steady sitting/head control, lost tongue-thrust reflex, interest in food, grasping to mouth) → ready/not-yet-ready/too-early with the specific missing signs named (code); the LLM only writes a grounded, non-alarmist note. For The Family Almanac's newborn guide.

You bring

{ age_months, sits_unsupported, lost_tongue_thrust, shows_interest_in_food, can_grasp_and_bring_to_mouth, cluster?, model? }

You get

{ age_months, signs_met, signs_total, missing_signs[], status, flags[], guidance, grounded_in, provenance }

Use it for

Run it on your data

Call it on your own inputs — over the API, or hand it to your AI agent via MCP. Discovery is open; running it is metered.

REST  POST /api/bicycle/weaning-readiness
MCP   check_weaning_readiness

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