Watch a Sales Guy Ship Agentic Infrastructure

See how to build an agentic commerce infrastructure demo. This talk shows a server reading merchant data from a /.well-known/disclose file to provide verifiable operational signals for agent evaluation.

MCP Claude Gemini NotebookLM Python

Overview

Human commerce runs on trust.
Agentic commerce will run on confidence.

Disclose Framework is an open standard for publishing the operational signals autonomous systems need to evaluate businesses with confidence.

This demo will focus on commerce. It shows an MCP server that reads a merchant’s /.well-known/disclose file and returns structured operational data, including return rate, fulfillment accuracy, and chargeback ratio, so an agent can evaluate a seller on verifiable facts rather than reviews or price alone.

Links

https://discloseframework.dev/
MIT-licensed JSON schema for decentralized, agent-discoverable, verifier-attested operational commerce data.

Tech stack

MCP

MCP is the open-source standard for securely connecting AI agents (like LLMs) to external tools, data, and enterprise workflows.

The Model Context Protocol (MCP) functions as a standardized integration layer: think of it as a USB-C port for AI applications. Developed and open-sourced by Anthropic, this protocol allows large language models (LLMs) to access real-time context and execute actions via external tools like GitHub, Jira, or proprietary databases . It uses a simple JSON-RPC interface to define tools, schemas, and endpoints, which enables AI agents to perform complex, state-changing tasks—such as creating a GitHub issue or running a test script—rather than just generating text . MCP is essential for building agentic AI systems that can autonomously pursue goals and operate within defined safety and permission boundaries .

https://modelcontextprotocol.io/

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Claude

Claude is Anthropic's flagship family of large language models (LLMs): a high-performance, Constitutional AI system built for safety, complex reasoning, and expert-level collaboration.

Claude is a next-generation AI assistant developed by Anthropic, a research firm prioritizing AI safety. The models (including Opus, Sonnet, and Haiku) leverage Constitutional AI to ensure helpful, honest, and harmless outputs, a key differentiator from competitors. Claude excels at complex enterprise tasks: processing massive context windows for in-depth data analysis, generating and reviewing code, and providing expert-level summarization for documents up to 200,000 tokens. It is deployed as a conversational chatbot and via API, offering scalable AI solutions for developers and businesses.

https://claude.ai/

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Gemini

Google's natively multimodal AI model: understands and operates across text, code, audio, image, and video.

Gemini is Google's most capable and general AI model, engineered from the ground up to be natively multimodal: it seamlessly understands and combines information across text, code, audio, image, and video inputs. The technology is optimized for flexibility, running efficiently on everything from data centers to mobile devices. It is deployed in three key sizes: Ultra (for highly complex tasks), Pro (for broad scaling), and Nano (for efficient on-device tasks). Developers access this power via the Gemini API to build next-generation applications.

https://deepmind.google/technologies/gemini/

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NotebookLM

Google’s AI research assistant that grounds every response in your specific documents to eliminate hallucinations and provide cited insights.

NotebookLM leverages Google’s Gemini 1.5 Pro model to transform private documents into interactive knowledge bases. Users upload up to 50 sources (PDFs, Google Docs, or URLs) per notebook to generate summaries, study guides, and deep-dive Audio Overviews. The system maintains strict source-grounding: every claim includes a direct citation to the original text. It handles 500,000 words per source, providing a high-capacity tool for researchers and professionals managing complex datasets without the risk of generic AI fabrications.

https://notebooklm.google.com/

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Python

Python: The high-level, general-purpose language built for readability, powering everything from web backends to advanced machine learning models.

Python is the high-level, general-purpose language prioritizing clear, readable syntax (via significant indentation), ensuring rapid development for any team . Its ecosystem is massive: use it for robust web development with frameworks like Django and Flask, or leverage its power in data science with libraries such as Pandas and NumPy . The Python Package Index (PyPI) provides thousands of community-contributed modules, offering immediate solutions for tasks from network programming to GUI creation . The language is actively maintained by the Python Software Foundation (PSF), with the stable release currently at Python 3.14.0 (as of November 2025) .

https://python.org

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