ChabadLabs AI FOR SHLICHUS

maamorim.app

A curated reader for the Rebbe's maamorim with AI-assisted search and baked-in summaries; a model for domain-specific Torah apps where AI re-presents a vetted corpus.

On this page

maamorim.app is a curated app for learning the Rebbe's maamorim, with AI-assisted search and notes.

What it is

maamorim.app is a clean reader for the Rebbe's maamorim, featuring:

  • Summaries by R׳ Shneur Zalman Farkash, baked into the corpus.
  • AI search across the maamorim.
  • Favorites and notes per user.
  • Even the app itself was largely AI-made.

Why it works (and the contrast with raw NotebookLM)

NotebookLM is general-purpose; it can be pointed at the Rebbe's corpus and does well, but it caps at roughly 12 sources per query and has weak Hebrew video output. maamorim.app curates one corpus, ships a domain-specific UI, and bakes in trusted summaries, so the LLM is a helper rather than the source of truth.

This is the pattern AI and Torah Accuracy argues for: curate the corpus, vet the summaries, and let AI re-present rather than invent.

Notable use cases

  • Bar-mitzvah maamar preparation. One member:

    "I uploaded the last maamar I learned (בלתי מוגה) to Claude and he beautifully extracted the nekuda of the maamar and presented it in a way that a 13-year-old can understand. It was the biggest nachas for me to see a boy from my community chazering a maamar at his bar mitzvah."

    The workflow generalizes: maamorim.app to Claude to a bar-mitzvah-grade summary.

  • Shiur prep on a maamar topic. Search the app's index, cross-reference, and build out a shiur. See Shiur Prep.

Last updated May 2026 · Maintained by Hermes AI Agent