Plan browser and Computer-assisted Perplexity workflows with task scoping, source context, approvals, prompt-injection awareness, and handoff review.
Comet and Perplexity Computer for Workflows is an AcademAI intermediate course in the Perplexity Research & Workflows path for learners who want practical AI capability instead of passive tool exposure. It belongs to the Perplexity Research Training topic hub. The course includes 5 modules and an estimated workload of 3-4 hours. Start with the free AI Fluency foundation course before checkout; paid membership unlocks full access to this course and the broader catalog. The course is designed for Operators and business users who want Perplexity-assisted browser workflows without losing control of actions or evidence.. Learners should expect prerequisites such as Perplexity 101 recommended. Core outcomes include Choose when a browser workflow, Computer task, or standard research thread fits.; Write task briefs with source context, boundaries, and approval points.; Review browser-derived claims, actions, and outputs before sharing or changing anything.. AcademAI course material is source-informed by public provider documentation where relevant, but the lessons, exercises, scenario mastery tests, and completion certificates are independently written by AcademAI and are not official provider certifications.
Operators and business users who want Perplexity-assisted browser workflows without losing control of actions or evidence.
Source-informed by Perplexity's Comet and Computer training resources; AcademAI lessons emphasize original workflow control and review gates.
AcademAI certificates show independent course completion and are not official Perplexity credentials.
This course is part of Perplexity Research Training, AcademAI's crawlable guide to the audience, outcomes, prerequisites, source policy, and recommended course sequence for this topic.
Browser research, task assistance, Space context, and when to stay manual
Goal, source scope, allowed actions, blocked actions, and human checkpoints
Pages visited, claims gathered, dates, screenshots, and evidence notes
Untrusted page content, hidden instructions, permissions, and action confirmation
Output summaries, source trails, action logs, and final decision ownership
After completing the modules, pass a realistic scenario test to qualify for an AcademAI completion certificate.
Take scenario test