I build original AI software, product workflows, and local-first tools that turn complex work into usable systems. My focus is practical: Python-led automation, agent workflows, document intelligence, structured research, and creative technology built with clear interfaces and readable foundations.
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Family coordination software shaped as a production-minded SaaS scaffold: structured communication, clean module boundaries, deterministic local setup, and a clear deployment path. |
CLI-first recipe system for scaffolding specialist agents and teams from Markdown. Built around durable, file-first workflows that can be inspected, versioned, and reused. |
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Local-first interface for managing OpenClaw recipe and team workflows. It gives agent scaffolding a cleaner operational surface for real use. |
Public repo: AI Policy & Terms Analyzer. Python tooling for extracting technical and operational signals from policies, terms, privacy pages, and platform documents. |
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Structured workspace for collecting, testing, and organising ideas, references, research notes, and implementation paths. |
A growing body of work around app scaffolds, AI-assisted workflows, research tooling, and software patterns that make repeatable work easier to run. |
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Chat interfaces, answer systems, analysis tools, and product workflows designed around practical use rather than demo-only behaviour. |
Document parsing, validation, extraction, automation, and structured data workflows built to be clear, testable, and reusable. |
Music-adjacent software, creator workflows, and AI systems shaped by real production, communication, and creative-industry experience. |
Some projects are still private, experimental, or being prepared for public release. Current build themes include:
- Able to Answer: AI answer workflows and product behaviour
- Humanizer: writing and communication tooling for clarity and readability
- TrainKit: structured training data, validation, and disciplined build workflows
- Music-tech tools: AI-assisted workflows for producers, artists, and creative operators
Python document tooling · analysis · validation · automation
TypeScript product interfaces · app scaffolds · workflow systems
Next.js frontend applications · SaaS-style product shells
Node.js local services · API workflows · developer tooling
GitHub source control · documentation · public build record
I like software that is direct, useful, and legible. The best tools should explain themselves quickly, run predictably, and make hard work easier to repeat. My goal is to build systems that feel practical to developers, understandable to collaborators, and valuable to the people using them.
Original AI apps, Python workflows, product systems, and creative technology.