Perplexity's teammates gives AI agents persistent roles and memory. Perplexity's new Teammates turn its Computer agent into always-on digital coworkers that monitor work, collaborate in Slack, and run in isolated desktops. · 1 hr ago Read 5 min * Perplexity launched Teammates, persistent AI agents that own ongoing work on top of Computer. * Each teammate runs in an isolated desktop and browser with independent sessions and cookies. * Teammates inherit your existing Projects, skills, memory, and tool permissions from Computer. * They collaborate with other teammates and message human coworkers directly in Slack. * Available now on web for Perplexity Max subscribers ($200/month); iOS and Android coming. * Free usage during a promotional period before drawing from Max's 10,000 monthly credits. Perplexity has launched Teammates, a feature built on its Computer agent platform that lets Max subscribers create persistent, named AI agents for recurring work. Each teammate can retain context, run tasks in the background, coordinate with other agents, and contact people in Slack when a decision requires human approval. A user assigns each teammate a role, standing instructions, tools, and escalation rules. Perplexity suggests roles such as On-call Engineer, Legal Research Assistant, and Storefront Manager. The structure reduces repeated setup for workflows that span days or continue indefinitely, while human operators retain responsibility for access and decisions. Persistent roles inherit existing context. Computer is Perplexity's orchestration platform for complex workflows. The company says it breaks projects into smaller tasks, selects among 19 AI models for each task, and delegates work to specialized agents. Teammates adds persistent memory, proactive monitoring, and communication between agents to that system. According to Perplexity, each teammate inherits the user's existing Computer projects, skills, plugins, memory, and permissions. An agent can begin with established coding conventions, brand guidelines, or contract terms already in the workspace. That inheritance can shorten setup, but it also makes permission review essential before an agent starts operating. Five mechanics shape the product. * Isolated environments. Each teammate receives a separate desktop, browser session, and local cookie store. A marketing agent can remain signed in to Meta while an engineering agent works in GitHub, with each session kept separate. * Persistent threads. Every teammate retains a continuing thread in the sidebar. Users can inspect its activity, decisions, and prior context across multiple runs. * Proactive monitoring. Teammates can watch assigned systems and respond when conditions change. In Perplexity's demo, an On-call Engineer detects a spike in HTTP 502 errors after a deployment, traces the problem to a dropped retry budget, and opens a pull request with a rollback plan based on earlier merged work. * Agent handoffs. Teammates can send work to one another. Another company demo shows an engineering agent fixing a password-reset crash, passing the pull request to a QA agent for desktop and mobile testing, and receiving the test results for review. * Slack escalation. Teammates can contact coworkers in Slack when they need approval, clarification, or another decision, allowing routine work to continue outside an active chat session. Humans can inspect, redirect, or take over. Autonomous browser and desktop access creates operational and security risks, so Teammates uses the permissions already configured for Computer tools and projects. Users can inspect work in the persistent thread, redirect an agent during a task, or take control of its desktop. Escalation rules determine when a teammate should involve a person. Perplexity's on-call example pages a human when a proposed fix needs approval or when the agent cannot isolate a cause within 15 minutes. Teams will need to define those thresholds carefully because inherited permissions and broad escalation rules can expand an agent's practical reach. Price, platforms, and credits. | Item | Details | | Availability | Available on the web, with iOS and Android versions planned | | Required plan | Perplexity Max, the subscription tier required for Computer | | Price | $200 per month | | Included usage | 10,000 credits per month | | Launch promotion | An additional Teammates usage grant applies before standard credits are charged | Perplexity has not specified the size or expiration date of the promotional grant. Credit consumption for sustained monitoring, browser use, and multi-agent workflows will determine the practical cost once that grant ends. Durable roles change the agent workflow. Perplexity's architecture treats model selection as an orchestration problem. Computer routes subtasks among specialized models, while Teammates packages those capabilities into durable roles with memory, tools, permissions, and responsibilities. Developers adopting the product would manage recurring workflows as persistent agents with credentials, retained state, escalation policies, and inter-agent messages. That model raises familiar production concerns around secrets management, audit logs, failure recovery, approval gates, and budget controls. Small teams could assign parallel roles to sales follow-up, deadline tracking, competitor monitoring, incident response, and invoice reminders. Standing briefs would drive routine work, while defined checkpoints would route sensitive actions to a person. Production use still has tests to pass. * Long-running reliability: Whether agents retain accurate context, recover from failed tools, and avoid compounding earlier mistakes. * Handoff integrity: How downstream agents respond when another teammate supplies incomplete or incorrect work. * Permission boundaries: Whether teams can limit access to credentials, repositories, customer data, and production systems with sufficient precision. * Auditability: Whether persistent threads provide enough detail to reconstruct actions and decisions during an incident or review. * Cost predictability: How quickly monitoring, browser sessions, retries, and agent-to-agent workflows consume credits. * Alert quality: Whether Slack escalations reach people at useful moments without producing excessive notifications. Teams evaluating Teammates can contain early risk by starting with bounded workflows, granting the least access required, requiring approval for consequential actions, and measuring task success, latency, intervention rate, and credit use. Production results will show whether persistent roles deliver dependable automation beyond Perplexity's launch demonstrations.

Perplexity Computer links Shopify sales to Meta and Klaviyo campaigns - unite.ai. Perplexity announced new e-commerce workflows for its Computer digital worker on November 3, 2026, connecting Shopify sales analysis and landing pages with Meta advertising and Klaviyo email campaigns. Businesses can set campaign boundaries and require human review before Computer publishes pages, sends emails or spends on ads. The workflows connect store analysis, page creation, advertising and email into one campaign sequence. Computer examines product sales to recommend items or collections, builds an on-brand Shopify page, then uses the same products and offers in Meta ads and Klaviyo emails. Brands can save design guidelines and brand voice as skills that Computer applies across those outputs. It coordinates AI models for sales analysis, image and video creation, and report preparation. Brand rules and approval gates. The starting point is a campaign brief: the objective, the offer, any constraints and the brand assets Computer should use. Perplexity's example request combines a new summer collection, a 15% discount, a two-week Meta campaign capped at $1,000 and Klaviyo emails for existing customers. The example shows how budget, timing and audience instructions can be specified in one task. Teams decide which actions require review, including page publication, email delivery and advertising expenditure. Those checkpoints place execution and review in the same workflow. Computer can prepare campaigns and act inside connected accounts, while the merchant can inspect the materials before launch. Computer handles the work within the goals, budgets and approval requirements the business establishes. The general Computer product accepts natural-language tasks and deploys subagents, with work continuing automatically in the background. It is available to Pro and Max subscribers on desktop, mobile, Slack and Microsoft 365. From Shopify analysis to campaign execution. For product selection, Computer analyzes Shopify product-sales data to identify what is selling and recommend items or collections to promote. Perplexity's example asks for analysis of the preceding 30 days and a landing page based on the brand's guidelines. Computer builds the page for selected products, a collection or a launch, and staff can make final edits directly in the Shopify editor before publication. For Meta campaigns, Computer combines the page's products and offers with competitor research and existing ad performance. It creates static ads and variations of successful videos, sets up the campaign, uploads ads with consistent names and connects them to the corresponding Shopify page. That link preserves the offer from the advertisement through to the storefront. Klaviyo completes the same campaign around email. Computer uses available customer data to build or select an audience, writes and designs the message, adds product information and inserts the Shopify destination. It can then schedule or send the campaign after the required review, keeping the storefront, ads and email focused on one launch. Customer results and deployment. On its e-commerce solutions page, Perplexity says Computer managed $30,000 in Meta advertising spend for Get Maine Lobster and compares the results with an agency-run campaign: 3.5 times more revenue and a 63% increase in return on ad spend. The case describes a daily operating cycle in which Computer scanned competitor ads, reviewed advertising performance and Shopify activity for product and content gaps, and selected the day's creative. It then produced static ads and variations of winning videos, uploaded ads with tailored landing pages, and adjusted budgets daily while pursuing the brand's efficiency targets. True Classic lifecycle marketing lead Sivabalan Rajasekaran said Computer rebuilt 19 customer-experience flows in Klaviyo in a few hours, work that otherwise would have taken weeks and thousands of dollars in agency costs. Perplexity recommends starting with a focused task, such as analyzing Shopify sales and preparing a campaign for review, then connecting the required accounts. Businesses can request help configuring continuing workflows. The broader connector catalog also lists WooCommerce, BigCommerce, Wix, Squarespace, Google Ads, TikTok and Mailchimp alongside Shopify, Meta and Klaviyo. The operational significance is the handoff between systems: a Shopify sales signal can become a page, an ad and an email without rebuilding the campaign at each step. Perplexity's customer cases make the commercial argument for that automation, while configurable review gates determine which publishing, spending and sending decisions remain subject to human approval.

Reddit bets on logged-in users as AI search erodes referrals. Reddit plans to test requiring accounts for most content after search-engine referrals fell by more than 1 million a week in October, according to CEO Steve Huffman. The company reported strong third-quarter growth but warned that daily active unique visitors could decline by a low double-digit percentage if the referral drop continues. Oct 30, 2026 - 09:30 Reddit is preparing to put account holders at the center of its service after search-engine referrals weakened, a move that could reduce the number of people who can browse the platform without signing in. Chief Executive Steve Huffman said the company plans to test a logged-in-only experience in selected markets outside the United States during the fourth quarter. The test is intended to measure the effect before any broader rollout. Reddit has allowed people to browse its discussions without an account for roughly two decades. Search referrals come under pressure. Search-engine referrals to Reddit fell by more than 1 million on average each week during October, Huffman said, as AI-generated answers increasingly keep users on search pages. He warned that total daily active unique visitors, or DAUq, could decline by a low double-digit percentage in the fourth quarter if the trend worsens. U.S. DAUq, a measure that includes identifiable users who visit Reddit's website or open its app, fell 2% to 50.7 million, according to the report. Reddit also faces ongoing disputes over data collection: it has sued Anthropic, Perplexity AI and three scraping companies, alleging that they illegally collected Reddit data. Those claims are allegations, not findings of liability. Strong quarter, more cautious outlook. Reddit's official results showed third-quarter revenue of $895 million, up 53% from a year earlier, while DAUq rose 12% year over year to 130.3 million. Advertising revenue reached $847 million. The company forecast fourth-quarter revenue of $1.00 billion to $1.03 billion and adjusted EBITDA of $480 million to $510 million. Huffman said logged-in users already generate more than 80% of monetization. Reddit intends to improve that experience with more relevant advertising, additional video and stronger personalization, while continuing to license its data under what he called safeguards for users and the business. What the shift could change. A requirement to sign in could give Reddit more information for personalization and advertising, but it would also place a barrier between search visitors and the discussions they came to read. The company's planned market tests will provide an early indication of whether improved monetization can offset any loss of casual traffic. Sources. * Reuters report - Huffman's sign-in plan, referral decline, user figures, lawsuits and guidance. * Reddit Q3 2026 results - official revenue, DAUq, advertising and outlook figures.