Text & Content Analysis

Context: entity (layering)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 1 articles

This page analyzes how a selected category, entity, or narrative frame appears in recent news coverage within the specified time window. Metrics and breakdowns are derived from the active article corpus.

Corpus KPIs

Entity
layering
Window
Last 30 days
Articles
1
From
2026-07-25 07:15:00+00
To
2026-07-25 07:15:00+00
Range
2026-06-26 23:27:36.471682+00 β†’ 2026-07-26 23:27:36.471682+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
ai ORG 1 πŸ“Š πŸ” 🧲
ai for mental health ORG 1 πŸ“Š πŸ” 🧲
ai for mental health ai ORG 1 πŸ“Š πŸ” 🧲
ai for mental health during ORG 1 πŸ“Š πŸ” 🧲
ai providing mental health guidance millions ORG 1 πŸ“Š πŸ” 🧲
anthropic claude PERSON 1 πŸ“Š πŸ” 🧲
banner PERSON 1 πŸ“Š πŸ” 🧲
cbs ORG 1 πŸ“Š πŸ” 🧲
claude PERSON 1 πŸ“Š πŸ” 🧲
forbes ORG 1 πŸ“Š πŸ” 🧲
gemini GPE 1 πŸ“Š πŸ” 🧲
google gemini ORG 1 πŸ“Š πŸ” 🧲
grok copilot ORG 1 πŸ“Š πŸ” 🧲
harry emerson fosdick PERSON 1 πŸ“Š πŸ” 🧲
lance b eliot PERSON 1 πŸ“Š πŸ” 🧲
layering GPE 1 πŸ“Š πŸ” 🧲
memory systems safety mechanisms validation ORG 1 πŸ“Š πŸ” 🧲
microsoft copilot ORG 1 πŸ“Š πŸ” 🧲
openai GPE 1 πŸ“Š πŸ” 🧲
orchestration layer control layer evaluation ORG 1 πŸ“Š πŸ” 🧲
pbai ORG 1 πŸ“Š πŸ” 🧲
s GPE 1 πŸ“Š πŸ” 🧲
safety mechanisms in ai for mental health ORG 1 πŸ“Š πŸ” 🧲
the world we are in some WORK_OF_ART 1 πŸ“Š πŸ” 🧲
today DATE 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
forbes.com 1 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Technology 0.4300 πŸ“Š 🧲
Business, Companies 0.4300 πŸ“Š 🧲
Health 0.0800 πŸ“Š 🧲
Government 0.0600 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 1 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-07-25 07:15:00+00 Health forbes.com AI For Mental Health Relies Critically On Leading-Edge Harness Engineering Analyze Lance Eliot 😐 neutral 0.0783