Submit Research for AI & Peer Review
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The Three Pillars of Shutri Media Solution
A comprehensive, end-to-end ecosystem engineered for research intake, publishing, and multi-modal promotion.
Research Intake (`shutri`)
Submissions enter via open GitHub Issue Management. Research undergoes initial deepMind AI (`dm`) evaluation, generating an open synthesis report in the Mempool for peer review collaboration.
- ▪ Open GitHub Issue Substrate
- ▪ Transparent AI Perspective (`dm`)
- ▪ CC BY-SA 4.0 Open License
Research Publishing (`mdIngest` & `deepDive`)
Powered by the open-source Rust engine mdIngest (`coolchain`) to sanitize KaTeX math and citations into deepDive (deepdive.shutri.com)—a high-performance PWA ledger governed by the Law of 21.
- ▪ Lossless Python Payload (`extract.py`)
- ▪ Absolute KaTeX Math Hardening
- ▪ Progressive Web App (PWA) Precache
Research Promotion (`ddma`)
Driven by DDMA (DeepDive Media Automator). Uses word-level Whisper transcription and parameter-tuned `acrossfade` stings to output master podcasts and 740x740 Square Videos (<20 MB for Nostr relay compliance).
- ▪ 740x740 Square Video Standard
- ▪ Nostr Protocol Compliance (< 20MB)
- ▪ Mosaic AI Motion Graphics
The Journey of Knowledge
How a research draft moves from an initial submission into an immutable ledger block.
1. Submitter Draft (Staging)
Author submits research URL & thesis via native form. Ingestion is 100% free.
2. Mempool (AI Ingestion & Review)
Gemini & `dm` evaluate core logic, generate an initial perspective report, and publish to the Mempool.
3. Template (Human-AI Production)
Author & reviewer build multi-modal assets: NotebookLM podcast audio, DDMA 740x740 videos, and Mosaic infographics.
4. Chain (Vector DB Consensus)
Once 21 verified papers pass public review, the block is minted to the permanent deepMind Vector DB chain.
What is in the Name? — Shutri (शु-त्रि)
Derived from Sanskrit Shubh / Shu, representing virtuous intent, pure knowledge, and sacred open dialogue free from insular paywalls.
Represents the SMS operational trinity: Pillar 1 Intake (`shutri`), Pillar 2 Publishing (`mdIngest`/`deepDive`), and Pillar 3 Promotion (`ddma`).
Synthesizes direct oral knowledge transmission (Śruti) with structured algorithmic logic (Sūtra): Intake hears the raw inquiry → Publishing threads the immutable ledger → Promotion broadcasts audio podcasts & 740x740 square videos back into public sound space.