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AI Agent Architecture
What Is Agent Composability?
Agent composability lets you build AI systems from swappable units. Learn about key patterns, concepts, and what breaks without shared context.
Contributing author
Ayswarrya G
Contributing Writer — Data Engineering & Metadata
Ayswarrya G is an independent consultant and one of Atlan's earliest writers, with eight years spent helping enterprise data teams turn dense technical concepts into content people actually use. She wrote some of the first widely read explainers on DataOps, data catalogs, data quality, and metadata management. Today she covers the context layer that makes scattered information trustworthy for both AI agents and humans.
/ Profile
About Ayswarrya.
Ayswarrya is an independent consultant at Atlan covering data engineering, active metadata management, and the emerging context layer. She has been with Atlan since the company's early days, leading content operations and community engagement while writing some of the first widely read pieces on DataOps, data catalogs, quality, governance, and metadata management.
Before starting her own consultancy, Ayswarrya built digital content strategy functions at cloud hosting and data management companies in India, Brazil, and the US. Having lived and worked across four continents, she writes for genuinely global audiences and has a long habit of turning dense technical concepts into content that people actually use.
Today she brings that range to B2B technology and SaaS brands, building content designed to be found and cited across both traditional search and AI answer engines.
After years spent making complex technology understandable across markets and cultures, she now writes about the context layer that turns scattered information and institutional memory into something both AI agents and humans can trust.
Recent articles by Ayswarrya G.
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- 02AI Agents
What Is Agent Reasoning? How Agents Plan, Decide & Act
Agent reasoning is how AI agents plan steps, pick tools, and revise. Learn CoT, ReAct, Reflexion, and ToT, and how to evaluate reasoning models.
- 03AI Agents
Azure AI Foundry vs. Google Vertex AI: Comparison Guide [2026]
Compare Azure AI Foundry and Google Vertex AI (now the Gemini Enterprise Agent Platform) on architecture, models, tools, and enterprise context for AI agents.
- 04AI Agents
Bedrock Managed Knowledge Base vs. Custom RAG Pipeline
Compare Bedrock managed and self-managed Knowledge Bases with a custom RAG pipeline: what each controls, where both stop, and why neither ships an ontology.
- 05AI Agents
Azure AI Foundry Agent Blueprints: From Pattern to Production
Azure AI Foundry agent blueprints define credentials, scopes, and sponsors for a class of agents. Learn how they work and where they fall short.
- 06Semantic Layers
Power BI Semantic Model vs Dedicated Semantic Layer for AI Agents
Power BI semantic models cover one tool's reports. See where they stop, what a dedicated semantic layer adds, and which one your AI agents actually…
- 07Context Layer
AI Context Platforms: A Complete Guide for Data Teams
An AI context platform helps enterprises build, govern, and deliver the business context AI agents need to act accurately. Here's your complete guide for 2026.
- 08AI Agent Frameworks
Microsoft Agent Framework: What It Is, Does & Replaces
Microsoft Agent Framework unifies Semantic Kernel and AutoGen into one open-source SDK for AI agents. See its capabilities, status, and what it lacks.
- 09Context Layer
Why AI Context Platforms Cut Agent Rollout From Months to Weeks
Gartner finds AI context platforms cut AI agent implementation from six to twelve months down to weeks. See the three mechanisms behind the compression.
- 10Context Layer
AI Context Platform vs. Agentic Operating System: What Each Does
AI context platforms govern what agents know; agentic operating systems coordinate what they do. See how Gartner separates the two, and why you need both.
- 11Context Layer
How Role-Based Access Control Works in an AI Context Platform
Role-based access control in an AI context platform means row-level, column-level, and asset-level policy enforced once at the graph, not per agent.
- 12Context Layer
What Is an Enterprise Knowledge Layer for AI?
An enterprise knowledge layer for AI keeps institutional knowledge governed, current, and machine-readable so agents work after the person who knew it leaves.
Transparency
Editorial relationship
Freelance contributor agreement
Ayswarrya contributes to Atlan as an independent consultant under a freelance content agreement. She reviews and approves every article published under her byline before publication. Atlan does not pay for placement of any external coverage. Much of her professional work is ghostwritten or published under client and brand names; the citations listed are independent of Atlan's editorial process.
Reach Ayswarrya