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.app/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.
reference en
curation startup-tools tech-stack travel-guides croatian-heritage food-culture entrepreneurship
person Martina Zrnec
0.99
organization Stacklist
0.99
location Zagreb
0.95
location Croatia
0.95
location Barcelona
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.app/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.
reference en
mcp model-context-protocol ai-agents json-rpc anthropic
technology Model Context Protocol
0.99
organization Anthropic
0.99
technology JSON-RPC
0.98
concept context 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.
analysis en
content-portability platform-risk bookmarks pocket knowledge-management open-standards
organization Mozilla
0.99
product Pocket
0.99
concept platform lock-in
0.92
concept content portability
0.88
approximate1,847
cl100k1,802
tags: { model: "gpt-4o-mini", version: "2024-07-18", confidence: 0.89 } summary: { model: "gpt-4o-mini", version: "2024-07-18", confidence: 0.93 } entities: { model: "gpt-4o-mini", version: "2024-07-18", 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: "gpt-4o-mini", version: "2024-07-18", confidence: 0.93 }
  tags:     { model: "gpt-4o-mini", version: "2024-07-18", confidence: 0.89 }
  entities: { model: "gpt-4o-mini", version: "2024-07-18", 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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