- Developers & RPA Engineers: Create custom scripts to control Windows UI and browser automation.
- Test Automation Specialists: Automate software testing tasks across desktop and web interfaces.
- AI Researchers & Automation Hobbyists: Experiment with AI-driven desktop control and multi-modal vision.
- IT Professionals: Deploy AI agents for routine system maintenance, monitoring, and updates.
- Enterprises & Tech Teams: Scale desktop or browser-based workflows using virtual PCs and agent tools.
- No-Code Automators: Use downloadable agent tools to automate tasks without starting from scratch.
How to Use Smooth Operator?
- Visit Website & Join Waitlist: Download the desktop app or opt to create a cloud-based virtual PC.
- Install Agent Tools: Use libraries in Python, TypeScript, or C# for automation frameworks.
- Configure Automation Flow: Select Windows apps or Chrome for automation tasks.
- Integrate AI Vision: Connect to on-screen AI models via Screengrasp for visual interpretation.
- Run or Deploy Agents: Execute tasks locally or via virtual PC.
- Monitor & Iterate: Use API and tools to debug, refine, and scale your automation workflows.
- Comprehensive Desktop & Browser Automation: Controls Windows UI, browsers, and complex app interactions.
- AI Vision Integration: Leverages Screengrasp for on-screen recognition and visual decision-making.
- Multi-Language Support: Offers SDKs in Python, TypeScript, and C# for developer flexibility.
- Cloud-Based Virtual PC Option: Deploy agents in the cloud for lightweight or distributed workloads.
- Waitlist Access to Advanced Features: Early users can test both desktop and cloud variants.
- AI-powered automation across both desktop and browser interfaces.
- Rich developer ecosystem with SDKs for different languages.
- Visual understanding via screengrasp enhances task accuracy.
- Flexible deployment: local installs or cloud-based virtual PCs.
- Waitlist Restricted Access: You must join the waitlist before using advanced features.
- Technical Setup Required: Developers may need deeper configuration—less friendly for non-technical users.
- Early-Stage Platform: Limited public reviews or case studies available.
- Operational Risks: Full automation of desktop tasks may require careful safeguards.
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Intervo
Intervo is an open-source platform for building and deploying voice and chat AI agents that handle real-time customer interactions like support, lead qualification, and onboarding. Businesses create custom agents in four simple steps: define purpose with prompts, upload knowledge files for training, pick voices from ElevenLabs or Azure, and publish to websites or Twilio phone numbers. It connects top LLMs like OpenAI, Claude, and Gemini for natural conversations, automates tier-1 support, and integrates with CRMs via webhooks, all while keeping data secure through self-hosting options.
Intervo
Intervo is an open-source platform for building and deploying voice and chat AI agents that handle real-time customer interactions like support, lead qualification, and onboarding. Businesses create custom agents in four simple steps: define purpose with prompts, upload knowledge files for training, pick voices from ElevenLabs or Azure, and publish to websites or Twilio phone numbers. It connects top LLMs like OpenAI, Claude, and Gemini for natural conversations, automates tier-1 support, and integrates with CRMs via webhooks, all while keeping data secure through self-hosting options.
Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
If you have any suggestions or questions, email us at hello@aitoolbook.ai