Beyond Agentic AI
Investigating Agentless and Hybrid Intelligence Architectures
Exploring the boundaries between deterministic, agent-based and hybrid approaches to intelligent problem solving. Can we achieve reliable and efficient task execution through deterministic workflows, structured reasoning and selective autonomy?
Problem Statement
Current autonomous agent architectures often sacrifice reliability for flexibility. This research investigates whether deterministic, agentless or hybrid approaches can achieve comparable or superior results on specific classes of tasks.
Research Questions
- 01 Which tasks actually benefit from autonomous agents?
- 02 Where do deterministic systems perform better?
- 03 What are the trade-offs in latency, cost and reliability?
- 04 Can hybrid architectures improve performance?
- 05 How should agentless systems be evaluated?
Results & Findings
This project is currently in active research. Experimental findings will be published here as the research progresses through the YARA review lifecycle.
Publications
No publications available yet. Papers and technical reports will appear here when research is completed and passes independent review.