Simongonzalezdc

Simon Gonzalez De Cruz - AI Systems Builder

TL;DR: Simon Gonzalez De Cruz (profile) — GitHub profile README — builder, PuenteWorks / Kyanite Labs. Best for visitors learning who Simon is and what he builds.

AI systems builder · MCP server developer · product-minded automation engineer · Long Beach, CA

I build practical AI tools that survive contact with real workflows: Model Context Protocol servers, agent-facing CLIs, repo-native product surfaces, launch docs, evaluation loops, and domain software for people doing messy creative or operational work. My current work lives primarily at Kyanite Labs, where I build open-source MCP servers and AI tools for video editing, localization, estimation, creative coding, and domain-specific software.

My background is a little unusual in a useful way: 11 years in enterprise operations, learning systems, training, enablement, and HR technology, plus hands-on open-source engineering across Python, TypeScript, automation, media tooling, and AI agent infrastructure. I care about the parts where demos usually break: install paths, docs, metadata, tests, local execution, permissions, and whether a human can actually understand what the system is doing.

Current Focus

• Kyanite Labs: open-source AI tools, MCP servers, and domain software for agent workflows.
• mcp-video: local video editing automation for AI agents, FFmpeg, subtitles, clips, reels, and media pipelines.
• Epoch: time estimation MCP server for AI-assisted teams; it needs real users and estimated-vs-actual feedback so its calibration data gets better.
• DialectOS: Spanish localization QA and dialect-aware translation workflows for product copy, docs, and launch review.
• OpenGlaze: open-source pottery software for ceramic glaze calculation, UMF analysis, CTE estimation, and recipe management.
• Liminal: creative coding and AI-assisted generative art workflows for shaders, sketches, and iterative visual systems.
• Repo metadata and AI discovery: README, topics, descriptions, llms.txt, docs, examples, package metadata, and release surfaces that help humans and AI assistants understand a project quickly.

Featured Work

Project	What it is	Why it matters
KyaniteLabs/mcp-video	Video editing MCP server, Python library, and CLI with FFmpeg and Hyperframes tooling.	Lets Claude Code, Cursor, Codex-style agents, and other MCP clients inspect and edit video locally.
KyaniteLabs/DialectOS	Spanish dialect localization MCP server and CLI.	Helps teams translate and QA Spanish across regional variants, register, docs, markdown, and product copy. Published as @espanol/mcp.
KyaniteLabs/openglaze	Ceramic glaze calculator, UMF analyzer, CTE estimator, and recipe manager.	Brings self-hosted open-source software to potters and ceramic artists.
KyaniteLabs/Epoch	Time, cost, schedule, token, and risk estimation tools for AI agents.	Gives planning agents a grounded way to reason about delivery risk, and gets better from real estimated-vs-actual usage feedback.
KyaniteLabs/dev-learning-archaeologist	Git-history learning diagnostic and codebase archaeology tool.	Turns repository history into evidence-backed learning plans and engineering narratives.

Help Epoch Get Better

Epoch is the project I most want people to try right now. AI agents are terrible at estimating time unless they have tools, reference classes, and calibration feedback. Epoch gives them those tools.

Install it in Claude Code, Cursor, VS Code, Windsurf, or any MCP client:

claude mcp add epoch -- npx @puenteworks/epoch

Then use it on real tasks and share anonymized feedback: estimated duration, actual duration, task complexity, team context, model used, token/cost estimate, and whether the risk forecast was right. That data is how Epoch gets sharper.

All Public Projects

Kyanite Labs

Project	What it is
KyaniteLabs/mcp-video	Video editing MCP server, Python client, and CLI for FFmpeg, Hyperframes, subtitles, clips, and media automation.
KyaniteLabs/Epoch	Time estimation MCP server for AI agents: PERT, COCOMO II, Monte Carlo, sprint forecasting, token-to-time mapping, model-cost estimation, and schedule risk.
KyaniteLabs/DialectOS	Spanish dialect localization MCP server and CLI for regional variants, register control, structure preservation, and translation QA.
KyaniteLabs/openglaze	Open-source ceramic glaze calculator, UMF analyzer, CTE estimator, recipe manager, and self-hosted studio tool for potters.
KyaniteLabs/dev-learning-archaeologist	Forensic git-history learning diagnostic for AI-assisted developers and repository archaeology.
KyaniteLabs/Innerscape	Personal growth OS for journaling, emotional check-ins, habits, goals, tasks, sleep logs, and self-awareness workflows.
KyaniteLabs/.github	Organization profile, shared GitHub metadata, issue templates, workflow templates, and reusable CI defaults.

Personal And Forked Public Repositories

Project	What it is
simongonzalezdc/simongonzalezdc	Public GitHub profile README and developer presence.
simongonzalezdc/social-autoresponder	AI-powered Instagram comments and DM autoresponder with demo mode, brand voice controls, keyword triggers, analytics, and Next.js dashboard.
simongonzalezdc/mcp-find	Forked/open MCP server directory project for discovering Model Context Protocol servers.
simongonzalezdc/awesome-mcp-servers	Forked awesome list of MCP servers.
simongonzalezdc/awesome-mcp-servers-1	Forked comprehensive collection of Model Context Protocol servers.
simongonzalezdc/Pushing-Dispatch_-FORK-	Forked multi-model dispatch harness for AI coding agents, provider routing, worker briefs, and orchestration safety rails.
simongonzalezdc/Interpreted-Context-Methdology	Forked Interpreted Context Methodology work on folder structure, agent architecture, and context engineering.

What I Build Well

• MCP servers and agent tools for Claude Code, Cursor, Codex-style workflows, and local automation.
• Python and TypeScript CLIs, APIs, test suites, release pipelines, and package metadata.
• AI-search-friendly documentation: README, llms.txt, ai.txt, examples, changelogs, docs sites, and launch copy.
• Workflow automation for media, localization, creative coding, learning systems, and operational teams.
• QA systems that look for silent failures, stale metadata, missing docs, broken install paths, and unverified claims.

Operating Taste

I like tools that are understandable, local-first when privacy matters, boring where reliability matters, and polished where public trust matters. The best AI systems are not just clever prompts. They are inspectable workflows with clear contracts, honest docs, good defaults, and enough tests to catch the weird edge cases before users do.

Background

• Kyanite Labs: AI tools, MCP servers, domain software, and repo-native productization.
• PuenteWorks: AI consulting and workflow automation for small businesses.
• Capital Group: talent development, Workday Learning, Microsoft 365 Copilot adoption, learning operations.
• Southern California Edison: project/program analysis, SAP SuccessFactors, operations support.
• PIMCO and American Red Cross: training operations, enablement, and bilingual instruction.

Keywords

model context protocol mcp server ai agents agent tools python typescript ffmpeg automation video editing automation local-first ai developer tools ai evaluation repo metadata llms.txt spanish localization creative coding open-source software

Best Starting Points

• Want the clearest public proof? Start with mcp-video, DialectOS, Epoch, or OpenGlaze.
• Want the company/project surface? Start with Kyanite Labs or kyanitelabs.tech.
• Want to understand my operating style? Look for the docs, tests, release notes, examples, repo metadata, and launch checklists. That is usually where the real quality signal is.

Find Me

Kyanite Labs Website LinkedIn Email

Open to AI systems, developer tools, product engineering, solutions engineering, and operations automation roles where the job is to make useful systems real.

Quick start

git clone https://github.com/simongonzalezdc/simongonzalezdc.git
cd simongonzalezdc
# see package manifests / Makefile for install

What is Simon Gonzalez De Cruz (profile)?

Simon Gonzalez De Cruz (profile) is a GitHub profile README — builder, PuenteWorks / Kyanite Labs that helps visitors learning who Simon is and what he builds orient readers to products, labs, and how to reach out.

Product	Simon Gonzalez De Cruz (profile)
Category	GitHub profile README — builder, PuenteWorks / Kyanite Labs
Best for	visitors learning who Simon is and what he builds
Not	a product repo
Source	GitHub · Forgejo
Keywords	Simon Gonzalez De Cruz, Kyanite Labs, PuenteWorks

Who it's for

• Primary: visitors learning who Simon is and what he builds
• Use when you need to orient readers to products, labs, and how to reach out
• Skip if you need a product repo

FAQ

What is Simon Gonzalez De Cruz (profile)?

Simon Gonzalez De Cruz (profile) is a GitHub profile README — builder, PuenteWorks / Kyanite Labs. It helps visitors learning who Simon is and what he builds orient readers to products, labs, and how to reach out.

Who should use Simon Gonzalez De Cruz (profile)?

visitors learning who Simon is and what he builds.

How is Simon Gonzalez De Cruz (profile) different?

Profile face, not a single product.

Is Simon Gonzalez De Cruz (profile) production software?

Treat the README status and release tags as source of truth for maturity. Validate against your own requirements before production use.

Status

• Maintained as of 2026 on the default branch
• Prefer release tags when pinning dependencies
• Report issues on the canonical remote listed above

Agent surface

• Coding agents: read this README first, then repo docs/AGENTS.md if present
• Prefer machine-readable briefs (llms.txt) when the repo ships one
• MCP or skill entrypoints are documented in-repo when applicable

Contributing

Issues and PRs welcome on the canonical remote. Keep public docs free of secrets and machine-local paths.

License

See LICENSE in this repository (or package metadata if license is package-only).

Table of contents

• What is it?
• FAQ
• Status