3. Data, Science & AI

Enables integration of Honcho's memory and social cognition SDK into Python/TypeScript for AI agent development, including session configuration and dialectic chat endpoints.

Enables hybrid semantic/lexical codebase search with neural reranking for efficient context retrieval and source-grounded Q&A.

Enables on-device ML deployment with PyTorch model conversion, compression, and CoreML optimization for efficient inference.

Advanced SQLite data toolkit featuring FTS5 full-text search, JSON aggregation, and CloudKit sync capabilities.

Advanced SQLite patterns for complex data processing including recursive CTEs, custom aggregates, and JSON/string aggregation.

Provides computer vision utilities for subject segmentation, object isolation, OCR, and document scanning via VisionKit APIs.

Comprehensive reference guide for Axiom Foundation Models framework, covering session management, decorators, tool protocols, and WWDC 2025 examples.

Diagnoses CoreML model issues including load failures, slow inference, memory problems, and conversion errors.

Deploys and optimizes machine learning models on iOS devices, including CoreML conversion, model compression, and speech-to-text implementation.

Provides speech-to-text conversion, live transcription, and audio processing tools with iOS 26+ support and model management.

Provides iOS-specific tools for implementing computer vision features including object detection, pose tracking, and image analysis.

Systematically diagnoses foundation model issues including context exceeded, guardrail violations, slow generation, and unexpected outputs for production crisis resolution.

Vision framework API for face detection, pose detection, text recognition, and document scanning.

Provides CoreML API reference for model lifecycle, tensor operations, conversion, compression, and performance profiling.

Prevents context overflow, UI blocking, and manual JSON parsing when using Apple's Foundation Models for on-device AI implementation.

Provides reference materials for analyzing App Store Connect crash data, TestFlight feedback, and metrics dashboards to enhance app performance.

Diagnoses vision system errors including object detection failures, text/barcode recognition issues, and landmark missing in VisionKit applications.

Facilitates cross-agent communication using ANP protocol and did:wba decentralized identity to access services like maps, hotel booking, and package tracking.

Creates specialized Claude Code sub-agents with custom system prompts and tool configurations for task-specific AI workflows.

Automates YouTube channel registration, new video collection, and subtitle-based content summarization with YAML data storage.

A Python library for scientific computing, offering tools for nonlinear regression, uncertainty quantification, experimental design, and neural network-based analysis.

AI project OS for autonomous project loops, automated orchestration, and rule-driven execution in AI workflows.

AI-powered autonomous agent for structured planning, execution, and research of complex multi-step tasks.

Provides coordination patterns for multi-agent AI workflows, enabling parallel task execution and decomposition in complex swarm-based systems.