MPPT: High-Effort Reasoning Algorithm
What it is
A reasoning framework that forces the AI to do deep, multi-angle thinking before answering - using multiple branches, critiques, verification, and final arbitration.
Instead of one-shot answers, it produces "decision-grade" outputs.
What it solves
Standard AI outputs often look confident but fail because they:
- Miss key edge cases
- Choose one reasoning path without challenging it
- Hallucinate when uncertain
- Don't verify assumptions
- Give shallow answers for complex decisions
MPPT solves: depth, reliability, and verification.
How it works
1. Problem decomposition
The system breaks the request into:
- Objective
- Constraints
- Evaluation criteria ("what counts as correct")
2. Branch generation
It creates multiple independent solution branches:
- Each branch tries a different approach
- Branches may represent different "roles" (planner, skeptic, verifier)
3. Critique + counter-analysis
Each branch gets challenged:
- "What could be wrong?"
- "What assumptions are weak?"
- "What edge case breaks this?"
4. Verification layer
Before finalizing, MPPT attempts to validate critical claims:
- If proof is not available, it marks it explicitly as assumption
- Reduces hallucinated certainty
5. Arbitration / merge
A final judge merges the best parts:
- Picks the most robust logic
- Resolves conflicts
- Outputs a final answer that is more stable and defensible
Key features
Multi-branch exploration
- Avoids being locked into one reasoning path
- Increases chance of finding better solutions and catching errors
Verification-first behavior
- Separates "known" vs "assumed"
- Flags uncertain claims instead of hiding them
Consistency and stability checks
- Detects contradictions
- Forces reasoning alignment before output
High-effort mode vs quick mode
- Can run lightweight for simple tasks
- Can run deep for strategic tasks
Where MPPT becomes valuable
- Strategy decisions (multi-angle analysis)
- Legal/compliance reasoning (precision matters)
- Complex workflows and planning
- Anything where shallow answers cause real damage
Differentiator
MPPT is not "a prompt." It's a structured reasoning process that upgrades AI from:
"fast answer generator" to "verified reasoning engine."
