41 Algorithms & Analysearch
41 production algorithms powering cognitive workflows, with Analysearch providing the multi-depth analysis and synthesis layer.
Analysearch Intent Engine
A direct Manus-style interactive layer for testing Quick, Standard, Deep, and Mirror processing with visible execution stages and simulated outputs.
41 algorithms, one intent surface
This page shows how the capability groups work together, from intent interpretation to verified decision support.
The 9-Tier Architecture
The 41 algorithms are grouped into 9 capability tiers. Each tier extends the one below it so the platform can route work according to business context, depth, and risk.
Try Analysearch Interactively
Users can switch modes, test example queries, and inspect how execution traces change with reasoning depth, closely matching the Manus interaction model.
Quick Mode
Intent parsing, normalization, token discipline, and baseline routing used across every workflow.
Entity detection, context classification, semantic tagging, and pattern recognition for incoming tasks.
Structured reasoning strategies that expand, compare, and validate alternative solution paths.
Task-to-model coordination that selects the best reasoning surface for speed, cost, and quality.
Consensus, hallucination checks, evidence scoring, and quality gates for production responses.
Compression, semantic indexing, retrieval, and continuity logic that preserve context across sessions.
System behaviors that personalize output, tune execution, and learn from repeated enterprise use cases.
Mechanisms that connect signals from multiple disciplines to produce more useful insights.
Longer-horizon planning, constraint handling, and governed autonomous execution for complex workflows.
Analysearch
A hybrid methodology that seamlessly combines analytical processing with research-grade synthesis across 4 distinct modes.
Quick
Instant responses for straightforward queries
Standard
Balanced analysis with multi-source validation
Deep
Thorough cross-domain synthesis and research-grade output
Mirror
Reflective self-evaluation for maximum accuracy