Home/Research/Specifications/AI Agents & Autonomous Systems
Canonical Research SpecificationLevel: Intermediate
Verified: August 2026

AI 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
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AI Agents & Autonomous Systems

AI Agents are autonomous systems capable of executing complex sequences of actions based on reasoning models.

Relationship Filter:
Hop Level 1

Direct Relationships (3)

Hop Level 2

Transitive Neighbors (Connected via Hop 1)

Hop Level 3

Extended Causal Ripple Effects

Freshness & Research Updates

Latest Publications & Research Activity

Built InSeptember 2, 2026

Who’s Actually Responsible for Your AI Agents?

Read Work ↗
CIO.comAugust 13, 2026

Salesforce and SAP are putting AI agents inside your workflows. Who tells them no?

Read Work ↗
BeehiivAugust 7, 2026

How to Prevent Memory Loss in AI Applications

Read Work ↗
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.

01 • Origin & GenesisProvenance Record

Canonical Specification Origin

Autonomous systems designed to reason, plan, and execute actions across disparate environments without human intervention.

First IntroducedIndustry Consensus 2023
Primary VenueIndustry Meta
02 • Internal Research Corpusrichardewing.io

Corpus Interconnections

Richard Ewing artifacts developed around this canonical framework, including publications, execution tools, and diagnostic models.

Articles1
Tools0
Specs1
Chapters1
03A • Verified Human External EvidenceAudit Status: Baseline

External Adoption & Peer Citations

Documented instances where independent researchers, engineering teams, and publications have cited, implemented, or referenced this concept outside Richard Ewing’s ecosystem.

External Evidence: No independently verified references recorded yet.

This concept is part of Richard Ewing’s original baseline canon. External citations and implementations are added only upon rigorous empirical verification.

Inspectable Evidence Ledger

Classified evidence items supporting, extending, or refining this canonical research specification.

Evidence ItemPublisherEvidence TypeStrengthRoleAction
The Risks of Autonomous AgentsCIO.comEditorial★★★★★OriginInspect ↗
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)