Editorial illustration for Perplexity pivots to AI agents; guide builds Notion custom agents
Perplexity Launches Custom AI Agents in Notion
Perplexity pivots to AI agents; guide builds Notion custom agents
Perplexity’s latest shift toward AI agents has caught the attention of anyone juggling repetitive tasks in a growing business. While the move itself is noteworthy, the real utility emerges when those agents can be embedded in tools teams already use daily. That’s where Notion enters the picture: a workspace many rely on for project tracking, documentation, and light‑weight databases.
The guide in question walks readers through turning two simple Notion tables into custom agents capable of handling inbound leads, launching marketing campaigns, reconciling accounts, or any other recurring operation without adding a new platform to the stack. It promises a step‑by‑step process that keeps the workflow inside a familiar environment, reducing friction and overhead. For firms that have already invested in AI‑driven solutions, the ability to train agents directly within Notion could mean faster iteration cycles and tighter integration with existing data.
The following section—titled “AI TRAINING”— dives into exactly how that learning loop is set up.
AI TRAINING The Rundown: In this guide, you will learn how to build Notion Custom Agents that run your company's recurring work on a schedule, automating inbound leads, campaigns, accounting, or any recurring job in your business without adding complexity. Step-by-step: In Notion, create two databases -- Tasks (Name, Source, Priority, Status, Assigned To) for every to-do, and Reports, so that agents can log their work Open Notion AI, click +Create custom agent, and prompt: "Create a Weekly Planner agent that reads my last 7 days of emails every Monday morning, adds action items into the Tasks database, and writes a one-paragraph summary of the run into the Reports database" Notion drafts the agent with a name, trigger, instructions, and data sources.
Perplexity’s shift toward AI agents is now evident. The company stopped chasing pure search supremacy and redirected its Computer launch toward personal‑finance functions, positioning the service as both a hub and a tax tool. Revenue reportedly rose 50 % month‑over‑month, reaching $450 million—a figure that underpins each agentic step the firm takes. Yet whether this financial surge will sustain as the focus expands beyond search remains unclear.
The guide accompanying the announcement shows how Notion custom agents can automate recurring business tasks, from inbound leads to accounting, without adding complexity. It walks users through creating two databases, then scheduling the agents to run on a set cadence. The instructions are straightforward, but the practical impact on everyday workflows has yet to be measured.
Overall, Perplexity’s pivot signals ambition, backed by a notable revenue jump, while the real‑world efficacy of its agent integrations—and the Notion‑based automation—still needs verification.
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Common Questions Answered
How can users create custom AI agents in Notion using this guide?
The guide recommends creating two specific Notion databases: a Tasks database with fields like Name, Source, Priority, Status, and Assigned To, and a Reports database for logging agent work. Users can then open Notion AI, click +Create custom agent, and provide a specific prompt to configure the agent's functionality.
What types of recurring business tasks can Notion custom agents automate?
Notion custom agents can automate a wide range of recurring business processes, including inbound lead management, marketing campaigns, accounting tasks, and other repetitive jobs. The agents are designed to run scheduled tasks without adding unnecessary complexity to existing workflows.
How has Perplexity's business strategy shifted with its focus on AI agents?
Perplexity has moved away from pure search functionality and redirected its efforts toward personal finance tools and AI agents. The company has seen significant financial growth, with revenue reportedly rising 50% month-over-month to $450 million, though the long-term sustainability of this expanded focus remains uncertain.