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Features

Deep Analysis Features

PAK4L combines dozens of specialized AI agents with advanced document intelligence to deliver expert-level reviews in minutes.

Multi-Agent Intelligence

3-Tier architecture with Core, Specialist, and Elite agents dynamically activated based on document type.

  • Agents dynamically activated based on document type
  • Cross-document reasoning and consistency checks
  • Real fact-validation using Python tools & optional web research

Evidence-Based Review

Complete audit trail with snippets, deep links, and contextual anchors for every finding.

  • Highlighting inside the original document
  • Issue severity scoring and priority tagging
  • Reference mapping: which guideline or template was used

Iterative Review Workflow

Version tracking, improvement cycles, and interactive refinement for continuous enhancement.

  • Redline Editor with accept/reject/apply
  • Interactive Q&A via WebSocket
  • Recommended fixes and automated rewrites

Comprehensive Outputs

Multiple export formats for every stakeholder need, from executives to technical teams.

  • Executive summary + Full markdown report
  • HTML dashboard with heatmaps and agent breakdown
  • JSON data for integrations and automation
  • Auto-generated presentations (Gamma integration)

Smart Ingestion & Reference Manager

Intelligent document processing with support for templates, guidelines, and reference materials.

  • Drag-and-drop upload for up to 10 documents
  • Up to 10 reference sources (templates, datasets, guidelines)
  • Auto-classification and contextual propagation
  • Configurable review modes & language settings

Analytics & Insights

Track document quality, agent performance, and improvement trends over time.

  • Document quality scoring and risk heatmaps
  • Agent-level performance metrics
  • Trend analysis and cross-document comparisons

Feature Comparison

Find the plan that matches your project requirements.

FeatureStarterProfessionalBusiness
Reviews per month525Unlimited
Agent TiersTier 1Tier 1 + 2All (1+2+3)
Deep Review Mode
Interactive Q&A
Iterative Refinement
Reference Documents2510
Web Research
Python Code
Unified API
Export FormatsMD, JSONAll FormatsAll + PPT

Ready to Scale Your Review Output?