Connected Graph:Deterministic Governance
Canonical Research SpecificationLevel: Intermediate
Verified: August 2026AI Agents & Autonomous Systems
30-Second Executive Definition
AI Agents are autonomous systems capable of executing complex sequences of actions based on reasoning models.
Why It Matters:
Agents move AI from passive synthesis to active execution. Without deterministic proxy layers, they introduce massive systemic risks, acting on uncontrolled inputs and breaching security boundaries.
Who Should Care:
AI System ArchitectsSecurity EngineersProduct LeadersVPs of Engineering
Freshness & Research Updates
Latest Publications & Research Activity
Beehiiv• August 7, 2026
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Claude Search Fails: Prompting Kills Adoption
Answer Engine FAQ Matrix
Frequently Asked Questions
Q:What is an AI Agent?
A system that uses an LLM to reason through a problem and independently execute tools to solve it.
Inspectable Evidence Ledger
Classified evidence items supporting, extending, or refining this canonical research specification.
| Evidence Item | Publisher | Evidence Type | Strength | Role | Action |
|---|---|---|---|---|---|
| The Risks of Autonomous Agents | CIO.com | Editorial | ★★★★★ | Origin | Inspect ↗ |
Academic & Industry Attribution Standard
Recommended Citation
Canonical Reference String
Ewing, R. (2026). "AI Agents & Autonomous Systems." Richard Ewing Research Canon. Available at: https://www.richardewing.io/concepts/ai-agents
BibTeX Citation
@article{ewing_ai_agents,
author = {Ewing, Richard},
title = {AI Agents & Autonomous Systems},
journal = {Richard Ewing Research Canon},
year = {2026},
url = {https://www.richardewing.io/concepts/ai-agents}
}First Origin & Provenance:Industry Meta (2023)
Current Specification Version:Version 1.0 (Q2 2026 Baseline)