Keenious
AI-powered academic research recommendations integrated directly into your writing workflow.

Transform scholarly research into grounded narratives and professional audio stories with source-centric AI.
NotebookLM (formerly Project Tailwind) is Google's flagship AI storytelling and knowledge synthesis tool, designed to solve the hallucination problem inherent in general LLMs. By 2026, it has evolved into the primary narrative engine for scholarly data, utilizing a Retrieval-Augmented Generation (RAG) architecture powered by Gemini 1.5 Pro and Ultra. Unlike traditional story generators, NotebookLM grounds its outputs exclusively in the 'sources' provided by the user—such as PDFs exported from Google Scholar, research notes, or technical whitepapers. Its architecture features a massive 2-million-token context window, allowing users to upload entire bibliographies to generate cohesive story arcs, literature reviews, or scripted dialogues. The platform's 2026 market position is unique, serving as a bridge between academic rigor and creative output, notably through its 'Audio Overview' feature which synthesizes complex scholarly data into realistic, human-like conversational narratives. For the Lead AI Solutions Architect, NotebookLM represents the gold standard in 'grounded' generative AI, ensuring that every claim in a generated story or report is mapped back to a specific citation in the source material.
Generates a realistic 10-15 minute audio conversation between two AI 'hosts' based on the uploaded data.
AI-powered academic research recommendations integrated directly into your writing workflow.
Transform authoritative academic data into structured educational narratives and story-driven research summaries.
The precision-engineered AI research assistant that eliminates hallucinations with verifiable citations.
Evidence-based AI search engine that finds answers in peer-reviewed research.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Ability to parse charts, tables, and images within scholarly PDFs to include in narrative outputs.
Every claim in a generated story links to the exact page and paragraph of the source document.
AI dynamically generates follow-up queries based on the unique gaps in your scholarly source set.
Support for up to 2 million tokens per session.
Collaborative notebooks where multiple users can contribute sources to a single narrative engine.
Converts notes and chats into structured formats like Study Guides, Briefing Docs, or Table of Contents.
Synthesizing 50+ disparate academic papers into a single, cohesive story.
Registry Updated:2/7/2026
Creating an educational podcast script from complex engineering whitepapers.
Ensuring a grant proposal is perfectly aligned with previous research findings.