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@Prysai

Prysai Lab

README.md

Prysai Lab markPRYSAI LAB
INDEPENDENT AI SYSTEMS STUDIO

FIELD NOTE 03 / PRYSAI / 2026

Build what
can be checked.

Practical AI model work, publishing systems, and technical documentation with visible boundaries.

01 / STUDY 02 / SHAPE 03 / PUBLISH 04 / CHECK

Models · Workflows · Docs · Boundaries

01
One connected public recordThe studio moves from model work to usable public systems: source, documentation, release context, and an honest account of what has been checked.

FLAGSHIP PUBLIC SYSTEM

Prysai LLM Playbook

A six-language learning and practice system for reliable work with LLMs, Codex, tools, Skills, and agent workflows. Concepts, labs, acceptance checks, and source boundaries stay together.

Open the Docs · Open the Space · Inspect source

02
What the studio is working on

MODEL WORKFLOWS

Train, release, inspect

Dataset preparation, iteration, evaluation, release notes, and distribution context for image-model work.

Workflow notes

PUBLISHING SYSTEMS

Make work findable

Public surfaces for releases, references, policies, and documentation in a usable, searchable form.

Capabilities

TECHNICAL DOCUMENTATION

Keep the source visible

Operational decisions turned into public materials with source links, stated limits, and correction paths.

Research record

PROJECT STATUS

candidate

Structure and checks are inspectable.

EVIDENCE BOUNDARY

Broader learner validation and independent review remain in progress.

The public record separates what is built from what has been measured. Read the source before treating a project status as an outcome claim.

03
Open the public mapFour surfaces, one route back to the source of truth.
01 / Prysai website
Studio context and public references.
02 / Playbook Docs
The guided reading surface.
03 / GitHub organization
Canonical project source.
04 / Hugging Face
Models, Spaces, and organization surface.

THE OPERATING RULE

Make the scope visible.
Check the source.
Keep the next step reversible.

Website · Docs · GitHub · Hugging Face

Public references, explicit limits, and a path back to the source.

Popular repositories Loading

  1. Prysai-LLM-Playbook Prysai-LLM-PlaybookPublic

    An evidence-led, six-language LLM playbook: the transferable core, the Codex flagship track, and adapters for ChatGPT, Claude Code, Gemini, DeepSeek, and Grok.

    Python 32 3

  2. .github .githubPublic

    Prysai Lab organization profile and publishing sources

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