Agent 37 Reviews

Viktor is a fully autonomous AI coworker designed to operate directly inside your Slack workspace and execute real work across your organization. Rather than functioning as a simple chatbot, Viktor runs on its own cloud-based computer where it writes code, deploys applications, and performs complex multi-step tasks. It connects to more than 3,000 integrations through native APIs and browser automation, enabling it to manage advertising campaigns, analyze product metrics, update documents, and create tickets across tools like Linear and PostHog. Viktor proactively monitors systems and identifies anomalies, proposing concrete actions instead of merely sending alerts. It can run continuously for weeks while retaining context about team goals, project timelines, and previous decisions. Within Slack threads, team members can request data summaries, backend updates, marketing optimizations, or workflow automation and receive structured, actionable responses. Before executing changes, Viktor presents pending actions for approval, maintaining transparency and control. The platform supports scheduled tasks such as automated reports, audits, and recurring check-ins. Its persistent workspace context ensures continuity even as projects evolve over time. Available in Starter, Team, and Enterprise tiers, Viktor adapts to both small teams and large organizations. Built by experienced engineers and backed by leading investors, it positions itself as a productivity multiplier rather than a simple assistant. By embedding autonomous execution directly into Slack, Viktor transforms everyday collaboration into a coordinated, AI-powered operating system for modern teams.

Completely managed machine learning tools facilitate the rapid construction, deployment, and scaling of ML models tailored for various applications. Vertex AI Workbench seamlessly integrates with BigQuery Dataproc and Spark, enabling users to create and execute ML models directly within BigQuery using standard SQL queries or spreadsheets; alternatively, datasets can be exported from BigQuery to Vertex AI Workbench for model execution. Additionally, Vertex Data Labeling offers a solution for generating precise labels that enhance data collection accuracy. Furthermore, the Vertex AI Agent Builder allows developers to craft and launch sophisticated generative AI applications suitable for enterprise needs, supporting both no-code and code-based development. This versatility enables users to build AI agents by using natural language prompts or by connecting to frameworks like LangChain and LlamaIndex, thereby broadening the scope of AI application development.

Agenthost is a versatile platform designed to enable users to create, train, and monetize AI agents without requiring any coding knowledge. It allows for the development of chatbots that efficiently handle customer inquiries across various platforms like websites and email, as well as AI-powered sales assistants that facilitate lead qualification and promote business growth. Users can deploy these agents through email, integrate them into their websites, or host them on personalized domains, ensuring they are reachable across multiple channels. With the ability to connect with over 6,000 applications via Zapier, the platform enhances workflow automation and improves productivity. Additionally, it offers customization options that let users modify the agent's appearance and functions to align with their brand identity, as well as implement monetization strategies through subscription plans managed by Stripe. Agenthost further provides integrated analytics that monitor agent performance and user interaction, delivering critical insights for continuous improvement. This all-encompassing approach not only streamlines the process of creating and managing AI agents but also cultivates an environment where users can succeed in the ever-evolving digital landscape. As more individuals leverage the capabilities of Agenthost, the potential for innovation and growth in the AI sector continues to expand.