Transform Domino Data
Into AI-Ready Format

PyxWarp converts HCL Domino data into TOON (Token-Oriented Object Notation) format, reducing LLM token consumption by 30-60% while improving AI comprehension and accuracy. Purpose-built for Domino, designed for the AI era.

🛡️

Data Sovereignty

Deploy local LLMs with Domino IQ—your data never leaves your network. Complete control for regulated industries and sensitive information.

⚡

30-60% Token Reduction

TOON format dramatically reduces token usage compared to JSON, cutting LLM API costs and infrastructure requirements.

🎯

Built for Domino

Native integration with HCL Domino databases, views, and document collections. Works seamlessly with your existing infrastructure.

🔒

Complete Control

Export profiles, prompt libraries, and full audit trails. Know exactly what data is sent to which LLM, when, and by whom.

Why TOON Format Matters

Not all data formats are equal when working with Large Language Models. See the difference TOON makes.

Traditional JSON

Verbose & Expensive

{ "projects": [ { "id": "P101", "name": "Alpha", "owner": "Alice", "status": "Active" }, { "id": "P102", "name": "Beta", "owner": "Bob", "status": "Complete" } ] }

196

characters

TOON Format
Compact & Efficient
projects[2]{id,name,owner,status}:
P101,Alpha,Alice,Active
P102,Beta,Bob,Complete
89
characters (55% smaller)

How PyxWarp Works

A complete toolkit for converting, managing, and optimizing Domino data for AI analysis

Export Profile Manager

Define reusable data extraction templates that specify which Domino databases, views, or document collections to process. Configure once, reuse indefinitely.

Select source databases and views
Choose specific fields to include
Define data transformation rules
Document data sources and formats

Supported Sources: NotesDocumentCollections from views, searches, or file-based data

TOON Converter Engine

Automatically transforms Domino data into TOON format—optimized specifically for Large Language Model processing with minimal token usage.

Handles all Domino field types
Preserves data structure and relationships
Validates output format integrity
Provides token usage estimates

Format Benefits: 30-60% fewer tokens, improved LLM comprehension, reduced hallucinations

Prompt Library

Build and maintain a centralized repository of AI prompts. Share expertise across your organization and ensure consistent, high-quality results.

Store prompts created by users or AI experts
Version control and effectiveness tracking
Document best practices
Team collaboration and sharing

Knowledge Preservation: Transform individual expertise into institutional assets

AI Request Manager

Execute AI analysis with point-and-click simplicity while maintaining complete audit trails for compliance and governance.

Simple workflow: profile + prompt + execute
Results stored as document attachments
Complete audit trail (who, what, when, which data)
Searchable history of past analyses

Compliance Ready: Full documentation for regulated industries and legal discovery

Technical Specifications

Platform

HCL Domino 14.5+

Installation

Database Template

LLM Compatibility

Domino IQ, OpenAI, Claude, Gemini, Custom APIs

Data Sources

Views, Searches, Document Collections, Files

Field Types

Text, Numbers, DateTime, Names, Rich Text, Multi-value

Security

Respects ACLs, Reader Fields, Audit Logging

// Example: Convert project data from Domino view to TOON format
tasks5{id,project,owner,due_date,status,priority}:
T101,Alpha Launch,Alice Johnson,2025-03-15,In Progress,High
T102,Beta Testing,Bob Smith,2025-03-20,Pending,Medium
T103,Documentation,Carol White,2025-03-10,Complete,Low
T104,Code Review,David Brown,2025-03-18,In Progress,High
T105,Deployment,Eve Davis,2025-03-25,Not Started,Critical
// Token count: ~280 tokens (vs ~620 in JSON - 55% reduction)

Use Cases

PyxWarp enables AI-powered analysis across your entire Domino environment

📊 Business Intelligence

Convert operational data from Domino applications into AI-ready format for trend analysis, pattern recognition, and predictive insights.

🔍 Data Analysis

Extract and analyze data from views and document collections for financial reporting, compliance checks, and business process optimization.

📝 Document Processing

Process large document collections for classification, entity extraction, and automated categorization with minimal token costs.

🎯 Custom Applications

Embed LLM capabilities directly into Notes applications for intelligent data processing, validation, and enrichment workflows.

⚖️ Compliance & Audit

Analyze compliance data with full audit trails. Every AI request is documented: who, what, when, which prompt, which data.

🔬 Research & Discovery

Query decades of institutional knowledge stored in Domino databases efficiently, minimizing LLM costs while maximizing insight quality.

Ready to Optimize Your AI Costs?

Transform your Domino data into AI-ready format with PyxWarp

Transform Domino DataInto AI-Ready Format