My Name Is Alex
A personal, music-driven introduction to the builder behind the work.
Alex Merced on agentic AI
I build open tools, specifications, and ideas for agentic systems that people can understand, govern, and move.
WATCH / THREE ORIGINAL FILMS
Three scene-rich music videos connect the person, the agentic platform, and the open lakehouse underneath modern AI.
A personal, music-driven introduction to the builder behind the work.
Composable agents, inspectable authority, model choice, and portable execution.
The open data foundation that makes governed analytics and AI possible.
THE THESIS
“The future of agentic AI is not one model, one agent, or one platform. It is replaceable components connected by open contracts.”
SELECTED OPEN WORK
Projects spanning brokerage, execution, memory, governance, and interoperability. Each one has a full explainer in the knowledge base.
A provider-neutral broker with portable profiles, durable sessions, and UI-presented runtime approvals.
Read the explainer →A governed harness with durable AAIS approvals across CLI, web, bots, and graph runs.
Read the explainer →A local-first agent harness with portable profiles, graph workflows, and reconnectable UI approvals.
Read the explainer →A cross-platform desktop cockpit with project context, graphs, profiles, operations, and native approval decisions.
Read the explainer →A graph-shaped memory layer for representing relationships, context, and retrieval paths.
Read the explainer →OPEN CONTRACTS
Open software is strongest when components share durable languages for work, identity, and human authorization.
Read about open contracts →Portable graph-shaped work with explicit tools, policy, budgets, and success criteria.
Portable agent identity, capabilities, authority, preferences, and state.
Exact, durable approval requests and decisions across CLI, web, desktop, and policy services.
DESIGN PRINCIPLES
Agents, profiles, and workflows should move without being rebuilt around a single vendor.
An agent should know what it may do, what requires approval, and where its responsibility ends.
Memory, context, and execution history should be understandable rather than trapped behind a magic interface.
Useful autonomy comes from traceable decisions, observable work, and verifiable outcomes.
THE AI BOOKSHELF / 31 TITLES
Explore Alex Merced’s nonfiction books on AI engineering, agentic systems, governance, evaluation, open models, semantic context, and the data foundations beneath modern AI.
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01A comprehensive guide to lakehouse architecture and AI.
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02Foundations of agentic data architecture.
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03Building AI-ready lakehouse systems.
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04A practical guide to AI-driven workflows.
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05A full-stack reference for AI systems.
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06Designing data platforms for LLMs, agents, and RAG.
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07Prompt engineering and agent workflows.
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08Connecting structured enterprise data to agentic systems.
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09Deploying AI agents across the modern organization.
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10Building the context and meaning agents need.
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11Testing LLMs, RAG, and agents.
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12Disruption, adaptation, and the changing labor market.
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13Practical approaches to accountable AI governance.
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14Taking AI from prototype to production systems.
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15Graphs, RAG, memory, and context.
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16Architecting data platforms for AI.
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17Patterns for building intelligent systems.
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18Cost, latency, and infrastructure tradeoffs.
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19Everyday AI tools explained without technical jargon.
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20Portable lakehouse architecture with open catalogs and agents.
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21Gemini, NotebookLM, Veo, Gemini Spark, and Jules.
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22Open models with OpenCode, Pi, and Hermes.
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23Claude.ai, Claude Code, and Claude Dispatch.
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24Building documents, media, websites, and applications with Codex.
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25SQL analytics, BI, and agentic AI for modern data platforms.
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26Modern data systems, engineering, analytics, and AI.
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27Providing meaning and context for AI.
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28A practical guide to building multi-agent systems.
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29From laptop prototypes to enterprise-scale agentic AI.
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30Grok, Cursor, MCP, and local-model development workflows.
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31The Microsoft Copilot and GitHub Copilot ecosystem.
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ABOUT ALEX
Alex Merced works across data infrastructure, developer education, and agentic AI. His focus is making complex systems legible, and giving builders open foundations they can adapt, audit, and own.