Recursive AI Systems & Chain of Thought

1) Intelligent Recursion Management#

• Dynamic depth by query complexity
• Quality thresholds and early termination
• Budget‑aware planning (time/cost)

Decision flow (conceptual):

Recursion Decision
┌─────────────────────────────────────────────┐
│ Assess: Quality ↑ vs Cost ↑                │
├─────────────────────────────────────────────┤
│ If Quality ≥ Threshold → STOP              │
│ If ΔQuality < ΔCost  → STOP               │
│ Else if Budget OK   → CONTINUE            │
└─────────────────────────────────────────────┘

2) Efficient Alternative Generation#

• Targeted alternatives to known weaknesses
• Diversity constraints to cover distinct approaches
• Progressive refinement rather than restarting from scratch

3) Parallel Processing & Resource Management#

High‑level processing pipeline:

Parallel Recursive Evaluation
┌──────────────┐   ┌──────────────┐   ┌──────────────┐
│ Candidate A  │   │ Candidate B  │   │ Candidate C  │  …
└─────┬────────┘   └─────┬────────┘   └─────┬────────┘
      │ Eval/Refine         │ Eval/Refine         │ Eval/Refine
      ├─────────── semaphore/concurrency limits ────────────┤
      ▼                                                       ▼
        Aggregate → Rank → Select Best → Stop or Iterate