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"Work (and life) ran on a gift economy of small favors between humans. ‘Can you help me get this script running?’ [...] each one created a little debt, a little mutual awareness. AI has eaten the favors. It’s faster, it creates zero debt, but each of these is a lost bid for human collaboration."

 

https://www.anthropic.com/institute/

n8n

workflow automation with agentic AI

 

Try yourself task automation with n8n:

https://n8n.io/

MCP: model context protocol

MCP (Model Context Protocol) is an open-source standard for connecting AI applications to external systems. Using MCP, AI applications like n8n, Claude or ChatGPT can connect to data sources (e.g. local files, databases), tools (e.g. search engines, web scrapers) and workflows (e.g. automated tasks)—enabling them to access key information and perform tasks.

https://modelcontextprotocol.io/

UCP: universal commerce protocol

The Universal Commerce Protocol (UCP) is an open-source standard designed to power the next generation of agentic commerce. By establishing a common language and functional primitives, UCP enables seamless commerce journeys between consumer surfaces, businesses, and payment providers. It is built to work with existing retail infrastructure, and is compatible with Agent Payments Protocol (AP2) to provide secure agentic payments support. It also provides businesses flexible ways to integrate via APIs, Agent2Agent (A2A), and the Model Context Protocol (MCP).

UCP is developed by Google in collaboration with industry leaders including Shopify, Etsy, Wayfair, Target, and Walmart endorsed by over 20 global partners across the ecosystem like Adyen, Mastercard, Stripe, Visa, Zalando and many more.

https://ucp.dev/

Agent = Model + Harness

If you're not the model, you're the harness.

 

A harness is every piece of code, configuration, and execution logic that isn't the model itself.  A raw model is not an agent. But it becomes one when a harness gives it things like state, tool execution, feedback loops, and enforceable constraints.

 

Concretely, a harness includes things like:

  • System Prompts
  • Tools, Skills, MCPs + and their descriptions
  • Bundled Infrastructure (filesystem, sandbox, browser)
  • Orchestration Logic (subagent spawning, handoffs, model routing)
  • Hooks/Middleware for deterministic execution (compaction, continuation, lint checks)

 

Harness engineering forces us to think about designing systems around model intelligence.

Make.com

visually build and orchestrate in real time

 

Probeer nu zelf het automatiseren van taken met make.com:

https://www.make.com/

Taskade Genesis

Imagine It. Run It.

 

Probeer nu zelf Taskade AI Powered Project Management:

https://taskade.com/

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