kyanitelabs.tech valid
KyaniteLabs
Open-source proof and paid implementation help for getting AI tools working in real environments.
- Authority
- 46 reach 0 · trust 6 · quality 25 · freshness 15
- Tier
- listed
- llms.txt
- https://kyanitelabs.tech/llms.txt
- llms-full.txt
- https://kyanitelabs.tech/llms-full.txt
- Sections
- 8
- Links
- 99
- Size
- 27609 bytes
- Registered
- 2026-03-30
- Country
- — Publisher location unknown; CDN address excluded
- Country evidence
- No published address evidence collected yet
- Categories
- AI and machine learning
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-27T13:35:29.264Z
- Last checked
- 2026-10-27T13:35:31.065Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-27T13:35:29.268Z. Cached copy · Source on kyanitelabs.tech
# KyaniteLabs
> Open-source proof and paid implementation help for getting AI tools working in real environments.
KyaniteLabs is where Simon Gonzalez de Cruz turns AI tools, MCP servers, media systems, developer-learning experiments, domain software, and product notes into public proof. Most Kyanite products are open source. The paid path helps people install, adapt, understand, and hand off the tools in their real environment.
KyaniteLabs is operated by [Simon Gonzalez De Cruz / PuenteWorks](https://puenteworks.com). Kyanite is the public lab for tool implementation, while broader consulting belongs under PuenteWorks.
## Primary Pages
- [Homepage](https://kyanitelabs.tech/): outcome-led overview, public GitHub proof, products, blog, and contact form.
- [About Simon Gonzalez de Cruz](https://kyanitelabs.tech/about): founder page with Kyanite's builder story, principles, and brand boundary.
- [Blog](https://kyanitelabs.tech/blog): build notes, learning notes, agent-system essays, and tool implementation field notes.
- [Implementation help](https://kyanitelabs.tech/implementation): paid help for getting Kyanite-built tools working in a real environment.
- [Implementation intake](https://kyanitelabs.tech/implementation/intake): structured intake for implementation and advising work.
- [Shop](https://kyanitelabs.tech/shop): no products currently listed; more tools are in development.
- [PuenteWorks](https://puenteworks.com): parent business, consulting, workflow, and broader AI operations home.
- Spanish edition: blog, about, and implementation pages (translation parity in progress).
- [Blog en español](https://kyanitelabs.tech/es/blog): the Spanish edition — translated notes plus Spanish-first interpretation pieces.
## Kyanite Products and Paid Paths
- Open-source tools: public KyaniteLabs repositories such as Kinocut, Epoch, DialectOS, openglaze, and repo-learning tools.
- Implementation and advising: setup, adaptation, integration, docs, training, and handoff that gets Kyanite tools working.
- Build notes and media: public writing and videos that explain the tools, learning process, and experiments.
Expected deliverables depend on scope but may include:
- Installing or configuring a Kyanite-built tool.
- Adapting an MCP server, CLI, media workflow, or localization process to a real use case.
- Implementation notes, docs, examples, and handoff materials.
- Advising on architecture, setup, constraints, and next steps.
## Public KyaniteLabs Repositories
- [Kinocut](https://kinocut.dev): Guardrailed video editing for AI agents: MCP server, kino CLI, Video Receipts, and Hyperframes. Source: https://github.com/KyaniteLabs/kinocut.
- [tastecheck](https://kyanitelabs.github.io/tastecheck/): Design review skills and recorded evidence for typography, color, spacing, accessibility, interface states, and frontend ship decisions. Judgments are scoped assessments, not an effectiveness guarantee. Source: https://github.com/KyaniteLabs/tastecheck.
- [Ep
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