ACP Playground

Pre-enriched examples show what a fully structured Atomic Content Object looks like. Scroll down to enrich your own text live.

Pre-enriched examples
Martina Zrnec
Martina Zrnec | Stacklist
stacklist.com/martina
Martina Zrnec is the Co-founder & CTO of Stacklist, a curation platform specializing in tech stack innovations, startup resources, and global travel guides. Her curated collections span Croatian heritage, food culture, entrepreneurship, and tools for modern builders.
referenceen
curationstartup-toolstech-stacktravel-guidescroatian-heritagefood-cultureentrepreneurship
personMartina Zrnec
0.99
organizationStacklist
0.99
locationZagreb
0.95
locationCroatia
0.95
locationBarcelona
0.90
approximate1,230
cl100k998
tags: { model: "claude-haiku-4-5", confidence: 0.85 } summary: { model: "claude-haiku-4-5", confidence: 0.91 } entities: { model: "claude-haiku-4-5", confidence: 0.80 }
title: "Martina Zrnec | Stacklist"
source_url: "https://stacklist.com/martina"
language: en
tags:
  - curation
  - startup-tools
  - tech-stack
  - travel-guides
  - croatian-heritage
  - food-culture
  - entrepreneurship
summary: >
  Martina Zrnec is the Co-founder & CTO of Stacklist, a curation platform
  specializing in tech stack innovations, startup resources, and global
  travel guides. Her curated collections span Croatian heritage, food
  culture, entrepreneurship, and tools for modern builders.
classification: reference
key_entities:
  - { type: person,       name: "Martina Zrnec", confidence: 0.99 }
  - { type: organization, name: "Stacklist",      confidence: 0.99 }
  - { type: location,     name: "Zagreb",         confidence: 0.95 }
  - { type: location,     name: "Croatia",        confidence: 0.95 }
  - { type: location,     name: "Barcelona",      confidence: 0.90 }
token_counts:
  approximate: 1230
  cl100k: 998
provenance:
  tags:     { model: "claude-haiku-4-5", confidence: 0.85 }
  summary:  { model: "claude-haiku-4-5", confidence: 0.91 }
  entities: { model: "claude-haiku-4-5", confidence: 0.80 }
Token Economics
Enrichment cost:~$0.0004
Original content:1,230 tokens
Frontmatter only:~200 tokens
Savings per read:1,030 tokens (84%)
Break-even:2 reads
📡
How MCP Standardizes Agent-to-Tool Communication
modelcontextprotocol.io/introduction
The Model Context Protocol is an open standard by Anthropic that defines how AI agents connect to external data sources and tools using a JSON-RPC transport layer. MCP separates the concern of agent-to-tool communication from the knowledge schema those tools serve, enabling any MCP server to expose structured, predictable payloads to any compatible agent.
referenceen
mcpmodel-context-protocolai-agentsjson-rpcanthropic
technologyModel Context Protocol
0.99
organizationAnthropic
0.99
technologyJSON-RPC
0.98
conceptcontext window
0.90
approximate2,830
cl100k2,847
tags: { model: "claude-haiku-4-5", confidence: 0.85 } summary: { model: "claude-haiku-4-5", confidence: 0.91 } entities: { model: "claude-haiku-4-5", confidence: 0.80 }
title: "How MCP Standardizes Agent-to-Tool Communication"
source_url: "https://modelcontextprotocol.io/introduction"
language: en
tags:
  - mcp
  - model-context-protocol
  - ai-agents
  - json-rpc
  - anthropic
summary: >
  The Model Context Protocol is an open standard by Anthropic that defines
  how AI agents connect to external data sources and tools using a JSON-RPC
  transport layer. MCP separates the concern of agent-to-tool communication
  from the knowledge schema those tools serve.
classification: reference
key_entities:
  - { type: technology,   name: "Model Context Protocol", confidence: 0.99 }
  - { type: organization, name: "Anthropic",               confidence: 0.99 }
  - { type: technology,   name: "JSON-RPC",                confidence: 0.98 }
  - { type: concept,      name: "context window",          confidence: 0.90 }
token_counts:
  approximate: 2830
  cl100k: 2847
provenance:
  tags:     { model: "claude-haiku-4-5", confidence: 0.85 }
  summary:  { model: "claude-haiku-4-5", confidence: 0.91 }
  entities: { model: "claude-haiku-4-5", confidence: 0.80 }
Token Economics
Enrichment cost:~$0.0011
Original content:2,830 tokens
Frontmatter only:~200 tokens
Savings per read:2,630 tokens (93%)
Break-even:1 read
📄
Pocket Is Dead. Your Bookmarks Died With It.
example.com/pocket-is-dead
Analysis of Pocket's shutdown in July 2025 and how it erased millions of users' saved content overnight. Makes the case that platform-locked content is inherently fragile and that portable, self-describing knowledge objects are the only durable alternative.
analysisen
content-portabilityplatform-riskbookmarkspocketknowledge-managementopen-standards
organizationMozilla
0.99
productPocket
0.99
conceptplatform lock-in
0.92
conceptcontent portability
0.88
approximate1,847
cl100k1,802
tags: { model: "claude-haiku-4-5", confidence: 0.89 } summary: { model: "claude-haiku-4-5", confidence: 0.93 } entities: { model: "claude-haiku-4-5", confidence: 0.95 }
title: "Pocket Is Dead. Your Bookmarks Died With It."
source_url: "https://example.com/pocket-is-dead"
language: en
tags:
  - content-portability
  - platform-risk
  - bookmarks
  - pocket
  - knowledge-management
  - open-standards
summary: >
  Analysis of Pocket's shutdown in July 2025 and how it erased millions of
  users' saved content overnight. Makes the case that platform-locked content
  is inherently fragile and that portable, self-describing knowledge objects
  are the only durable alternative.
classification: analysis
key_entities:
  - { type: organization, name: "Mozilla",            confidence: 0.99 }
  - { type: product,      name: "Pocket",             confidence: 0.99 }
  - { type: concept,      name: "platform lock-in",   confidence: 0.92 }
  - { type: concept,      name: "content portability",confidence: 0.88 }
token_counts:
  approximate: 1847
  cl100k: 1802
confidence: 0.88
provenance:
  summary:  { model: "claude-haiku-4-5", confidence: 0.93 }
  tags:     { model: "claude-haiku-4-5", confidence: 0.89 }
  entities: { model: "claude-haiku-4-5", confidence: 0.95 }
Token Economics
Enrichment cost:~$0.0009
Original content:1,847 tokens
Frontmatter only:~200 tokens
Savings per read:1,647 tokens (89%)
Break-even:1 read

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