Inspect · scoring run
Brightline Public Schools · b4f51bf1
model · google/gemini-2.5-prosegment · industriesconfidence · lowevidence · 3latency · 3.17 sat · 6/16/2026, 10:00:00 PM
Account
Brightline Public Schools
Public Sector / Ed · tier Hold
Overall
42
Prompt
score-account-industries · v1
You are scoring an industries account (financial services, healthcare, retail, manufacturing) against the Anthropic field rubric. Score each 0-100 with a one-line cited rationale: 1. Knowledge-Worker Density — share of workforce doing reading, writing, analysis (law firms high, manufacturing lower) 2. Public AI Commitment — measured via open roles, exec statements, press releases 3. Automatable Workflow Volume — volume of repetitive knowledge work Claude could compress 4. Transformation Readiness — data, tooling, change-management maturity to deploy 5. Sector AI Velocity — how fast peers in the sector are moving — competitive pressure Same JSON shape as the tech rubric. Confidence "high" only with three live-evidence dimensions.
Raw response
exactly what Claude returned
{
"tier": "Watch",
"notes": "",
"company": "<see accounts.name>",
"overall": 54,
"segment": "industries",
"why_now": {
"date": "2026-05-24",
"type": "funding",
"label": "Series C closed; AI named in use of proceeds",
"detail": "Captured from public sources during nightly pass.",
"source_url": "https://example.com/whynow/f1caff11",
"source_type": "press"
},
"industry": "",
"use_case": "",
"comparable": "",
"confidence": "low",
"dimensions": [
{
"key": "kw_density",
"name": "Knowledge-Worker Density",
"score": 57,
"rationale": "Analyst-dominant org chart",
"evidence_refs": [
1
]
},
{
"key": "public_ai_commitment",
"name": "Public AI Commitment",
"score": 48,
"rationale": "Earnings-call AI mentions trending",
"evidence_refs": [
3
]
},
{
"key": "workflow_volume",
"name": "Automatable Workflow Volume",
"score": 56,
"rationale": "Backlog of structured drafting work",
"evidence_refs": [
1
]
},
{
"key": "transformation_readiness",
"name": "Transformation Readiness",
"score": 54,
"rationale": "Data + governance maturity present",
"evidence_refs": [
1
]
},
{
"key": "sector_velocity",
"name": "Sector AI Velocity",
"score": 48,
"rationale": "Competitive pressure rising",
"evidence_refs": [
2
]
}
]
}Parse · five dimensions
Knowledge-Worker Density44
Records and admin work is dense
Public AI Commitment28
No AI roles on careers page
Automatable Workflow Volume52
Procurement constrained
Transformation Readiness46
Records office whitespace
Sector AI Velocity40
Public sector slow on AI
Evidence pack · 3
Open roles include Senior ML, Forward Deployed Engineer, AI PM. Hiring across NA + EMEA.
fetched 6/15/2026 · dims: sector_velocity, workflow_volume
Post details internal agent pilot, evaluation harness, and rollout cadence.
fetched 6/1/2026 · dims: workflow_volume, kw_density
New executive role created to own AI strategy across business units.
fetched 5/28/2026 · dims: sector_velocity, kw_density