Studio Sitemap
Complete map of public systems, live platforms, engineering research, and canonical dispatches published by Moonglade AI.
Core Studio & Method
Applied AI research and sovereign systems engineering studio overview.
The 4-Layer Cognitive Execution Stack, Phoenix Core Constitution, and Ubuntu Collective architecture.
Visual tokens, typography, lunar color palettes, and ambassador specifications.
Secure communication channels for research partnerships and sovereign advisory.
Systems, Platforms & Tools
Open-source infrastructure, cryptographic provenance tooling, and agent substrates.
Competitive reinforcement learning pipelines, Kaggle PTCG Challenge solutions, and Zindi models.
Network of production web applications, edge staging environments, and community platforms.
Interactive culture platform, retro game preserves, and community experiments.
Zero-drift universal unit conversion tool with deterministic precision across 12 dimensions.
Persona-grounded visual architecture, Caribbean concept art, and high-fidelity prompt compilations.
Journal & Dispatches
View Journal Archive →The Architecture of Provenance: What It Is, How It Works, and What It Proves
A comprehensive guide to cryptographic data provenance: why observation differs from authorship, how deterministic sidecars and Merkle trees function, and an exhaustive FAQ for engineering teams.
Under the Examiner: 18 Frozen Cases on Agent Safety and Provenance
How our clean-room diagnostic test harness evaluated Phoenix Core agents across ten general OWASP security cases and eight provenance-aware states, achieving zero unsafe acceptances and passing Retest A.
Does Provenance Change Agent Behaviour?
A preliminary study of whether signed instructions, explicit trust states, and provenance-aware gates change how an agent handles adversarial or conflicting context.
Dismantling Generative Media Bias with a 7 KB Skillchip
How a single-file agent skillchip replaces Eurocentric specular gloss, rigid PVC cylinders, and unnatural curl stretching with authentic optical diffusion, clumping taxonomy, and protective styling invariants.
Under the Hammer: Surviving an Adversarial Audit on the Last Day of the Sprint
How a 24-hour adversarial review tested our cryptographic provenance stack, exposed fifteen real defects, and led to clean-room verification.
How We Built Our Best Pokémon AI: The Trainer's Edition
The true story of our competitive Pokémon battle run on Kaggle, told strictly through Pokémon game mechanics for trainers and players.
Proposal: Packing Light for Agents
Why agent skill registries need single-file slugs, version-pinned dependencies, and explicit anti-patterns alongside multi-asset directories.
Field Notes: Teaching the Mannequin to Move
Demonstrations showing how structured body mechanics, contrapposto weight shifts, and negative space protocols transform generative character portraits across real Barbados landscapes.
Lab Update: The Badge That Said Sealed Over Nothing
In a single afternoon, four separate artifacts asserted a state that nothing had checked. Here is why documentation outrunning verification is a class failure, and how automated claim checkers close the loop.
Case Study: Handling Old Glass
How Moonglade AI applies strict data isolation, PII quarantine, type-safe content modeling, and salted SHA-256 cryptographic provenance to digital preservation.
Case Study: Rescuing Sunken Pages
How Moonglade AI used digital archaeology, multi-table data mining, and modern agentic engineering to resurrect AnimeReviews.org into a lightning-fast, 659-page permanent static archive.
Case Study: A Seal That Checks Itself
How Moonglade AI applies real-time content hashing and detached OpenPGP attestations to detect source drift between authoring repositories and published web pages.
Engineering: Painting the Same Face Twice
How we stopped fighting image drift and built Persona-Grounded Visual Anchoring to generate consistent Caribbean character portraits with short, four-word prompts.
Engineering: A Ruler That Measures Both Ways
Why standard unit conversion scripts suffer from rounding drift, and how the Hub-and-Spoke SI architecture creates rock-solid, reversible math on mobile.
Lab Update: Dialects and Milliseconds
From cataloguing our island's rum shops to training competitive farming agents, here is what the Moonglade AI lab worked on this week.
Engineering: Three Engines on One Boat
What started as a simple mission to connect Anaiya to Discord evolved into building a modular, reusable Cloudflare AI Model Router.
Case Study: When Simple Beats Clever
Reflecting on our final standings, what we learned from combining tree-search heuristics with gradient-boosted ranking, and how the experience shapes our future tools.
Lab Update: The Machine Learning Playbook
How we structured our internal agent skill protocols to compete on Kaggle and Zindi, updated with lessons from reinforcement learning and vision models.
Engineering: Clearing the Worktable
Why we stepped away from a complex container setup, embraced static edge publishing, and gave our digital home a clean Caribbean aesthetic.
Lab Update: Checking the Harvest from Orbit
A look at our new agricultural simulation agent ladder and the beginnings of our workspace infrastructure overhaul.
Lab Update: When the Ladder Fights Back
How we fixed a silent memory bug, combined game-tree heuristics with machine learning, and climbed the leaderboard.
Lab Update: Reading Faded Ink
How we fine-tuned vision-language models and Kraken CTC to transcribe 18th-century Barbadian secretary hand records.