AI Agents

Agents that reason, remember, and collaborate

ELI agents are Intelligent Machine Systems (IMS) that augment Human Crews and AI agents with lifelike reasoning, memory, and collaboration - bounded, verifiable, and human-aligned.

Chatbot→Copilot→AI Agent→Virtual Co-Worker→Agent Network

Practical

Research Agent

What it does: Gathers, synthesizes, and cites evidence across sources.
Why it matters: Compresses hours of reading into verifiable briefs.
Example use case: Synthesize a competitive landscape with source-linked claims.

Advanced

Machine Labor Agent

What it does: Performs bounded work in software using observe-act-verify loops.
Why it matters: Turns repetitive software work into reliable automation.
Example use case: Update structured records and verify each change.

Practical

Knowledge Worker Agent

What it does: Drafts, analyzes documents, and maintains knowledge bases.
Why it matters: Keeps institutional knowledge fresh and findable.
Example use case: Draft a report and reconcile it against source documents.

Emerging

Workflow Recovery Agent

What it does: Detects exceptions and recovers stalled workflows.
Why it matters: Reduces silent failures and manual firefighting.
Example use case: Catch a failed step, retry safely, and escalate when blocked.

Advanced

Browser & Desktop Agent

What it does: Operates browsers, desktops, files, and applications.
Why it matters: Bridges agents into the tools people already use.
Example use case: Navigate a dashboard and extract evidence into a doc.

Frontier

Multimodal Reasoning Agent

What it does: Reasons over text, images, screens, audio, and video.
Why it matters: Grounds decisions in what is actually on screen.
Example use case: Interpret a chart and explain the underlying trend.

Practical

Human Partnership Agent

What it does: Manages handoffs, approvals, and preference learning.
Why it matters: Keeps humans in control with smooth escalation.
Example use case: Request approval before any irreversible action.