PLANSIGHT AI
- AI Agents
- Design
- Development
Challenges.
LLMs are great at generating text but terrible at executing complex, multi-step plans reliably. They hallucinate, lose context, and fail to verify their own work. We needed a system that could handle "Agency"—the ability to take a goal and independently figure out the steps to achieve it.
Solutions.
We architected a 4-layer Agent System inspired by cognitive architectures: 1. The Organizer (Planning Layer): Breaks down high-level user goals into granular tasks. 2. The Orchestrator (Management Layer): Assigns tasks to specialized worker agents. 3. The Workers (Execution Layer): Specialized models for coding, research, and data analysis. 4. The Verifier (Critique Layer): A separate model that reviews output against the original requirements before showing it to the user.
Results.
- ●55% Success Rate on autonomous tasks
- ●Reduced hallucination by 90% via verification layer
- ●Deployed to 50+ enterprise users
Roadmap to Autonomy
AGENCY ISN'T ABOUT BETTER PROMPTS. IT'S ABOUT BETTER ARCHITECTURE. WE BUILT A SYSTEM THAT THINKS IN STEPS, NOT JUST TOKENS.
