AI Automation: Deploying Specialized Domain Agents (Voice, Design, & Coding)

Automation Stack & Architecture

Agent Frameworks / Engines:
• Voice Specialist (ElevenLabs Architect)
• Designer Assistant (Figma Agent)
• Logical Reasoning Tester (CABRA - Microsoft Research approach)
Integration Layers:
• External LLM Interfaces (Claude, ChatGPT, Cursor, Grok Bot or any chat interface capable of maintaining context)
• Tool Integrations (grep, code refactor diff/logic checks, wayfinding in file structures deisgn libraries)
Target Outcome:
• Self-improving voice agent configurations.
• Automated UI component repair and specification drafting.
• Evaluation of logical reasoning depth vs. simple pattern matching in coding tasks.

Architect Role (Voice Optimization Expert)
- Goal: Improve existing certain agents by analyzing failed tests or high operator transfer rates via conversation study으로 find causes enough to propose fixes.
- Tools assigned:
  • Knowledge base analysis tool
  • Scenario testing simulator
  • Simulation engine for trial dialogue creation
  • Version control system (to allow rollbacks if approval is denied).
Figma Agent (Design System Maintainer / Canvas Specialist)
- Goal: Handle routine design maintenance including finding outdated components/variables and mass fixing layouts while respecting internal design systems.
- Tools assigned:
  • Component audit tools
- Specification draft generator
  >Library instruction reader even real time monitoring on canvas permissionss sgetup instructions checking comments properlyly correctly correctlcorrecttly right style check rules logic code rrun run setup helpfully helpful helper thing things any way maybe possibly perhaps so okay ok :) end stop!

! DYOR (Do Your Own Research)

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