Adept

Free

Adept is an AI agent company with research roots. It builds systems that watch your screen and click buttons like a person would. This puts it in the AI agents category—tools that act, not just talk.

You type what you want done. The agent opens apps, fills forms, pulls data, and moves it where you said. It learns interfaces by watching pixels, not by connecting APIs.

The company started in 2022 with ex-OpenAI and Google engineers. In mid-2024, Amazon hired the founders and licensed the tech. What remains is a smaller enterprise-focused operation with limited public access.

Open it if you need cross-app automation and can work with a beta product. Skip it if you need something you can sign up for today.

You need repetitive tasks that span different apps, and you can tolerate some manual oversight.

• Sales operations teams handling lead entry and CRM updates: You move leads between systems without building API connections. The work still needs a human check.
• Support teams managing ticket workflows: You pull data from multiple sources to resolve tickets. The agent handles the clicks, you handle the edge cases.
• Business operations with repetitive cross-platform tasks: You copy the same data across three apps every day. The agent cuts that down to one command plus review.
• Marketing teams pulling analytics from multiple sources: You gather numbers from separate dashboards. The agent opens each one and drops results where you want them.
• Agencies managing repeatable client deliverables: You run the same reports across different client stacks. One setup works for many accounts.
• Corporate recruiters automating candidate updates: You move applicant data between your ATS and email. The agent updates stages without copy-paste.
• Accounting teams processing invoices from email attachments: You pull PDF data into your system. The agent opens the attachment and types what it sees.
• HR and operations with routine data tasks: You handle onboarding forms across separate systems. The agent bridges the gaps.

These are what you notice when the setup works.

• Screen-based interaction: It clicks and types like you would. No waiting for IT to build an integration.
• Natural language commands: You say what you want, not how to do it. The agent figures out the steps.
• Cross-app workflows: One command runs across Salesforce, Gmail, and Sheets. The handoffs happen without you.
• No API credential exposure: It works through pixels, not backend connections. Your logins stay in your browser.
• Human-in-the-loop design: You see each action before it commits. Mistakes get caught before they spread.

There are real tradeoffs that matter for some teams.

• Beta-only access with application required: You cannot just sign up and start. You wait, then maybe get in.
• 70-85% task success rate: You will babysit the agent. One in four runs needs your help to finish.
• Brittle when UIs change: A moved button breaks the workflow. You retrain or wait for an update.
• Limited onboarding materials: You learn by trial. The docs are thin for a complex tool.
• No clear pricing or future: The core team left for Amazon. What remains is uncertain.