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DIMENSION 1

Building Agents

3 capabilities to evaluate in AI agent platforms.

3Capabilities

No-code visual builder to build agents

A drag-and-drop interface that allows non-technical users to create and modify AI agent workflows or teams of Agents without writing code.

Evaluation Criteria

Look for visual workflow builders, flowchart-style interfaces, or GUI-based agent configuration tools. Must be accessible to business users, not just developers.

Examples

  • Zapier-style workflow builders
  • Microsoft Power Platform-like interfaces
  • Visual conversation flow designers

Agents Configurable via Developer SDK

Comprehensive software development kits that provide pre-built functions, classes, and utilities for building AI agents programmatically. This would not include SDKs for just talking to or using agents or AI functionality, it must be an SDK, typically TypeScript or Python, that fully defines how an agent works and what it does in a declarative way.

Evaluation Criteria

Must include documentation, code examples, and framework support (like React, FastAPI, etc.). Look for official SDKs, not just API wrappers.

Examples

  • Official npm packages
  • PyPI packages
  • GitHub repositories with framework integrations

2-way sync between code and UI

Changes made in the visual builder automatically update the underlying code, and code changes reflect in the UI interface.

Evaluation Criteria

Must demonstrate bidirectional synchronization. Changes in either interface should be reflected in the other without data loss.

Examples

  • Export to code from visual builder
  • Import code changes back to visual interface
Enterprise Demo

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