ChattyDocs

Start by grouping related materials into a dataset, such as onboarding docs, product manuals, meeting notes, or a client folder. Add PDFs, Word files, spreadsheets, and links to pages you reference often. Once the content is processed, you can ask specific questions like “What changed in the latest policy?”, “Which section covers refunds?”, or “Summarize the key findings from these reports.” The reply includes quoted sources, so you can open the exact page or passage and confirm details before sharing results.

Teams use separate datasets to keep work clean: one for internal procedures, one for customer-facing knowledge, and one for research. As files change, you replace or remove items to keep answers current. You can tune how the assistant responds for each dataset—more direct for compliance checks, more exploratory for brainstorming—then reuse that setup whenever new documents come in.

For collaboration, a dataset can be shared so colleagues or clients can query the same references without emailing attachments. In day-to-day operations, the Telegram connection lets you ask for definitions, extract requirements, or pull quick summaries from your archive while staying in chat. Common outcomes include faster document review, fewer repeated questions, and more consistent answers backed by traceable citations.