An opportunity space record for a PL R&D focus area. Used across all four focus areas (AI & Robotics, Neurotech, Digital Human Rights, Economies & Governance). Each record represents one strategic convergence zone with structured analysis fields.
any
Any valid record key
Properties
areaSlug
string
Required
The focus area this opportunity space belongs to
maxLength: 128 bytesai-robotics, neurotech, digital-human-rights, economies-governancedescription
string
Required
Full description of the opportunity space. First 140 characters used as card preview.
maxLength: 10000 bytesfieldSignals
array
of
ref
#fieldSignal
Optional
Measurable KPIs for tracking progress toward the inflection point
id
string
Required
Unique identifier for this opportunity space within the area (e.g. 'open-compute-networks', 'neural-augmentation')
maxLength: 128 bytesimage
string
uri
Optional
Cover image URL shown in listing cards and detail hero
maxLength: 2000 bytesinflectionPoint
string
Optional
The key moment or milestone that signals this opportunity has arrived
maxLength: 10000 byteskeyAssumptions
array
of
string
Optional
Core assumptions underlying the opportunity thesis, displayed as individual paragraphs in the Context column
observations
array
of
string
Optional
Current friction points and field observations, displayed as individual paragraphs in the Friction column
shift
string
Optional
One-sentence description of the systemic change this opportunity represents, shown as a pull quote
maxLength: 1000 bytessubfields
array
of
string
Required
Related subfields or research areas, displayed as tag chips
tagline
string
Optional
Short one-line description shown in listing cards
maxLength: 512 bytestheOpportunity
string
Optional
Narrative description of the specific opportunity and how PL can catalyze it
maxLength: 10000 bytestippingSignals
array
of
string
Optional
Observable indicators that the inflection point is approaching, displayed as tag chips
title
string
Required
Display title of the opportunity space
maxLength: 512 bytesupdatedAt
string
datetime
Required
ISO 8601 datetime of last content update
View raw schema
{
"key": "any",
"type": "record",
"record": {
"type": "object",
"required": [
"areaSlug",
"id",
"title",
"description",
"subfields",
"updatedAt"
],
"properties": {
"id": {
"type": "string",
"maxLength": 128,
"description": "Unique identifier for this opportunity space within the area (e.g. 'open-compute-networks', 'neural-augmentation')"
},
"image": {
"type": "string",
"format": "uri",
"maxLength": 2000,
"description": "Cover image URL shown in listing cards and detail hero"
},
"shift": {
"type": "string",
"maxLength": 1000,
"description": "One-sentence description of the systemic change this opportunity represents, shown as a pull quote"
},
"title": {
"type": "string",
"maxLength": 512,
"description": "Display title of the opportunity space"
},
"tagline": {
"type": "string",
"maxLength": 512,
"description": "Short one-line description shown in listing cards"
},
"areaSlug": {
"type": "string",
"maxLength": 128,
"description": "The focus area this opportunity space belongs to",
"knownValues": [
"ai-robotics",
"neurotech",
"digital-human-rights",
"economies-governance"
]
},
"subfields": {
"type": "array",
"items": {
"type": "string",
"maxLength": 256
},
"description": "Related subfields or research areas, displayed as tag chips"
},
"updatedAt": {
"type": "string",
"format": "datetime",
"description": "ISO 8601 datetime of last content update"
},
"description": {
"type": "string",
"maxLength": 10000,
"description": "Full description of the opportunity space. First 140 characters used as card preview."
},
"fieldSignals": {
"type": "array",
"items": {
"ref": "#fieldSignal",
"type": "ref"
},
"description": "Measurable KPIs for tracking progress toward the inflection point"
},
"observations": {
"type": "array",
"items": {
"type": "string",
"maxLength": 10000
},
"description": "Current friction points and field observations, displayed as individual paragraphs in the Friction column"
},
"keyAssumptions": {
"type": "array",
"items": {
"type": "string",
"maxLength": 10000
},
"description": "Core assumptions underlying the opportunity thesis, displayed as individual paragraphs in the Context column"
},
"theOpportunity": {
"type": "string",
"maxLength": 10000,
"description": "Narrative description of the specific opportunity and how PL can catalyze it"
},
"tippingSignals": {
"type": "array",
"items": {
"type": "string",
"maxLength": 512
},
"description": "Observable indicators that the inflection point is approaching, displayed as tag chips"
},
"inflectionPoint": {
"type": "string",
"maxLength": 10000,
"description": "The key moment or milestone that signals this opportunity has arrived"
}
}
},
"description": "An opportunity space record for a PL R&D focus area. Used across all four focus areas (AI & Robotics, Neurotech, Digital Human Rights, Economies & Governance). Each record represents one strategic convergence zone with structured analysis fields."
}