Andor Labs : Trusted Agentic Web Consulting
Building AI Agents is hard.
Building Trusted AI Agents is even harder.
I help startups, enterprises, and investors create, evaluate, and govern AI Agents that can be trusted.
Challenges Of the Agentic Web
AI Agents represent a new challenge for organizations. Unlike traditional apps, they:
Autonomous Decision Making
Act with autonomy and make decisions
Multi-Agent Orchestration
Multiply complexity in multi-agent orchestration
New Infrastructure Layers
Require new layers: identity, governance, registries, storage, and secure communication
⚠️ Without trust, AI Agents risk becoming opaque, unreliable, and even dangerous.
My Work
🚀 Projects
Explore my technical projects, consulting work, and engineering solutions in the Trusted Agentic Web space.
View Projects🌐 Open Source Leadership
See my contributions to open source projects, community leadership roles, and standards development work.
View Open SourceWhere I Focus
Agentic Identity
Delegation
Securely granting and revoking authority between agents.
Proof of Personhood
Ensuring agents are tied to real, verifiable individuals.
Reputation
Building trust through verifiable track records.
Agentic Governance
Agentic Access Management Policies
OPA, Cedar, and other policy frameworks.
Policy Management
Runtime guardrails to prevent rogue behavior.
Agentic Commerce
Enabling safe economic transactions between agents.
Agentic Infrastructure
Registries
Publishing and resolving agent facts.
Communication
Secure, interoperable protocols for agent-to-agent interaction.
Storage
Verifiable, privacy-respecting data management for agents.
Agentic Protocol Development
DIDComm
Secure messaging protocol for decentralized identity.
Verifiable Credentials
Standards for digital credential exchange.
Trust Over IP (ToIP)
Protocol stack for internet-scale digital trust.
OpenID Connect for VCs
Integration of verifiable credentials with OIDC.
👉 See my talk on these focus areas here: Watch on YouTube