Weekly engineering dispatches, digital preservation sagas, and research breakthroughs from the Moonglade AI lab.
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.
A preliminary study of whether signed instructions, explicit trust states, and provenance-aware gates change how an agent handles adversarial or conflicting context.
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.
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.
How a 24-hour adversarial review tested our cryptographic provenance stack, exposed fifteen real defects, and led to clean-room verification.
The true story of our competitive Pokémon battle run on Kaggle, told strictly through Pokémon game mechanics for trainers and players.
Why agent skill registries need single-file slugs, version-pinned dependencies, and explicit anti-patterns alongside multi-asset directories.
Demonstrations showing how structured body mechanics, contrapposto weight shifts, and negative space protocols transform generative character portraits across real Barbados landscapes.
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.
How Moonglade AI applies strict data isolation, PII quarantine, type-safe content modeling, and salted SHA-256 cryptographic provenance to digital preservation.
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.
How Moonglade AI applies real-time content hashing and detached OpenPGP attestations to detect source drift between authoring repositories and published web pages.
How we stopped fighting image drift and built Persona-Grounded Visual Anchoring to generate consistent Caribbean character portraits with short, four-word prompts.
Why standard unit conversion scripts suffer from rounding drift, and how the Hub-and-Spoke SI architecture creates rock-solid, reversible math on mobile.
From cataloguing our island's rum shops to training competitive farming agents, here is what the Moonglade AI lab worked on this week.
What started as a simple mission to connect Anaiya to Discord evolved into building a modular, reusable Cloudflare AI Model Router.
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.
How we structured our internal agent skill protocols to compete on Kaggle and Zindi, updated with lessons from reinforcement learning and vision models.
Why we stepped away from a complex container setup, embraced static edge publishing, and gave our digital home a clean Caribbean aesthetic.
A look at our new agricultural simulation agent ladder and the beginnings of our workspace infrastructure overhaul.
How we fixed a silent memory bug, combined game-tree heuristics with machine learning, and climbed the leaderboard.
How we fine-tuned vision-language models and Kraken CTC to transcribe 18th-century Barbadian secretary hand records.
