AI productivity tools are apps that take a task, such as a report, a slide deck or a spreadsheet, and produce it with an AI model. They are sold by monthly subscription to individuals and small businesses. They include AI presentation makers, AI writing assistants and general-purpose AI agents that complete a task from one instruction.
How do they work? The user types what they need, and sometimes attaches a file. The tool sends the request, together with its own detailed instructions, to a large language model (LLM), the kind of AI model that reads and writes text. The model writes the content. The tool then puts the content into a finished format: slides with a layout and pictures, a formatted document, or a spreadsheet with formulas. The user edits the result and downloads it.
For instance, the owner of a coaching centre in Patna needs a 10-slide presentation for parents, on the centre's results and its fees for the new year. She types: "Make a 10-slide presentation for parents. Include our board exam results, the new batches and the fees." She attaches a spreadsheet of last year's marks. In about a minute, the tool produces ten slides, with a title slide, a chart of the results and a table of fees. She corrects one fee, changes a photo and downloads the file. The subscription costs a few hundred rupees a month.
The tool is only as reliable as what it is given. A language model can invent a fact or a number and state it with confidence. This is called AI hallucination. So the user must check every figure, especially in a report that other people will rely on.
How are these tools different from AI agents for enterprise work? An enterprise agent is given access to a company's systems, such as the ERP and email, and does the work of a role every day. A productivity tool does one task for one person, using only what that person types or uploads. Teams that keep their documents in knowledge base and wiki software often get similar AI features inside that tool.
Many of the companies that make these tools are very small, sometimes of only a few people. They do not build their own AI models. They build their apps on models made by larger companies, and compete on the format and the price of what they produce.