TNH-Scholar Project Vision¶
This document defines the long-term north star of the TNH-Scholar project — its purpose, scope, aspirations, and the directions it explores as a human-centered research project grounded in mindful human–AI collaboration.
1. Purpose¶
TNH-Scholar exists to serve the living Plum Village tradition by:
- Making Thích Nhất Hạnh's teachings, wider Plum Village teachings, and freely available source Buddhist texts accessible, discoverable, and navigable in order to aid research and practice.
- Supporting deep, careful study by monastics, lay students, researchers, and practitioners.
- Providing trustworthy, transparent AI-supported tools that respect the Dharma, the lineage, and the humans who work with them.
- Exploring how AI can support scholarship, translation, navigation, and content processing while remaining grounded in human discernment, authenticity, and care.
- Actively exploring, in early form, how mindful human–AI and agent-supported collaboration can help develop the software systems and research workflows that make this scholarly work possible.
- Supporting engagement with current Plum Village teachers as the living continuation of Thây’s work.
- Creating pathways toward the historical canonical texts — Pāli, Tibetan, Sanskrit — that form the tradition’s deeper roots.
The project is not only a software system. It is a long-term scholarly and technical infrastructure for studying, preserving, and interacting with a living body of teachings, while also exploring mindful forms of human–AI collaboration in the software and research workflows that support that work.
2. Core Vision¶
At a high level, TNH-Scholar aims to become:
- A canonical, clean, multi-lingual corpus spanning Thích Nhất Hạnh’s work, wider Plum Village teachings, and freely available source Buddhist texts, with:
- High-fidelity text,
- Rich metadata,
- Sentence-level alignment across languages,
- Footnotes, references, and contextual markers.
- A flexible, human-centered AI-supported research environment that:
- Helps users search, explore, compare, and understand teachings.
- Uses AI to support translation, navigation, content processing, and deep study.
- Makes both research-facing AI use and development-facing AI collaboration transparent through provenance, inspectable workflows, and clear human responsibility for interpretation and outcomes.
- A living site of active experimentation in mindful human–AI and agent-supported software development — exploring, in early form, how AI can help build and maintain the systems and research workflows that serve the project's scholarly aims.
- A foundation for future interactive tools:
- Conversational exploration agents,
- Guided study companions,
- Practice-support tools,
- Visual and audio interfaces (e.g., JVB viewer, audio transcription pipelines).
3. Long-Horizon Aspirations¶
Over the long term, TNH-Scholar is envisioned to support:
- Cross-lingual, cross-corpus research:
- Aligning Vietnamese, English, French, Chinese, Pāli, Sanskrit, Tibetan sources.
- Surfacing conceptual parallels across canons and modern commentaries.
- Rich interactive experiences:
- Bilingual reading environments,
- Side-by-side views of scanned pages, cleaned text, translations, and annotations,
- Audio + transcript + translation aligned at sentence/segment level.
- Mindful agentic workflows (human-supervised automations and collaborations):
- Corpus cleaning and enrichment loops,
- Translation and evaluation pipelines,
- Semi-automated test and data-generation loops for models,
- Explorations in human–AI and multi-agent software collaboration to help build and maintain TNH-Scholar itself.
The long-term vision is not to replace human scholars or practitioners, but to:
Extend human capacity for understanding, cross-referencing, preserving, and carefully developing access to the teachings — while always keeping human judgment, transparency, and responsibility at the center.
4. Scope and Non-Scope¶
In scope:
- Tools to structure, clean, annotate, translate, and search a multilingual corpus spanning Thích Nhất Hạnh's legacy, wider Plum Village teachings, and freely available source Buddhist texts, including historical canonical texts (Pāli, Tibetan, Sanskrit) the tradition draws from.
- Infrastructure to support reliable, transparent, AI-supported workflows (GenAIService, patterns, provenance).
- Developer and research tooling (CLI, VS Code integration, batch jobs, evaluation tools), including exploratory work in human–AI and agent-supported software development where it serves the project’s scholarly aims.
Out of scope (for TNH-Scholar itself):
- Becoming a generic LLM platform unrelated to Plum Village or Buddhist studies.
- Building closed or opaque systems where the source texts, transformations, and models cannot be inspected or critiqued.
- Automation that removes humans from the loop in any way that would obscure responsibility, ethical judgment, interpretive nuance, or transparency about how outputs and systems are produced.
5. Relationship to Spin-Offs and Descendants¶
TNH-Scholar may eventually give rise to:
- Separate tools focused on:
- Software engineering assistance,
- General AI infrastructure,
- Generic prompt/pattern frameworks.
- Specialized research platforms built on its data and abstractions.
The guiding principle is:
TNH-Scholar remains the reference home for Dharma-focused, Plum Village–centric work.
Spin-offs may reuse its design patterns and components, but do not dilute this core identity.
6. Time Scale¶
This project is intended as a multi-year, possibly multi-decade effort.
Design choices should:
- Favor composability, clarity, and transparency over short-term hacks.
- Respect that future maintainers (human and AI) will need to understand the intent behind the system.
- Support gradual refinement rather than one-off prototypes that cannot grow.
- Keep human-centered responsibility and mindful collaboration legible in both the research outputs and the software development process.
This vision document is living. It should be revisited when major architectural shifts occur or when the project’s role in the broader ecosystem meaningfully changes.