Free
$0Free plan available.
Tohju is an AI assistant platform designed to boost sales, automate support, and increase engagement. It allows users to build teams of AI agents that deliver human-quality results, automating tasks like customer service, data extraction, and social media content creation. Tohju simplifies repetitive work, turning it into one-click tasks, and offers seamless custom integrations with internal systems using plugins and APIs.
Users can build and customize AI agents, plugins, and prompt libraries within collaborative AI workspaces. These agents can be connected to internal systems via APIs and plugins to automate various business needs, such as generating media, automating replies, and extracting data.
Tohju.com Custom is a self-hosted, private version of the Tohju platform. It allows you to create and tailor AI agents and tools to your specific requirements under your own domain, and provides a chat interface for your team, community, or customers.
Yes, you can customize elements such as the logo, tagline, social poster image, theme, and colors. Further interface customization options will be added in the future.
Yes. You can define a default system instruction that remains hidden from your users and develop a custom, built-in prompt library.
Free plan available.
Use these comparison pages to understand the trade-offs between the models most relevant to Tohju.
Compare Gemini 1.0 Pro Deprecated and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 1.0 Pro Deprecated and Gemini 2.5 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 2.0 Flash Lite and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 2.5 Flash and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
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