Released in Dec 8, 2025 ∙

Triplo AI

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About

Triplo AI offers an all‑in‑one AI workspace that helps teams and solo users write, translate, code, and organize projects faster, using custom AI agents that adapt to each workflow and language. Built in Europe with a strong focus on privacy and data control, Triplo AI gives users a flexible, multilingual environment to handle daily tasks, long‑term projects, and complex content creation without constant tool‑switching or technical setup.

At its core, Triplo AI centers on “Workspaces” and “Agents.” Workspaces act as organized hubs for different projects, clients, or topics, keeping chats, files, prompts, and tools clearly separated. This helps users avoid messy, mixed conversations and instead keep each project in its own clean context. Within each workspace, users can create custom AI agents tailored to tasks such as writing, customer support, research, coding, or translation. Each agent can be given a clear role, tone of voice, and set of instructions so that responses stay consistent and aligned with business goals, brand guidelines, or personal preferences.

Triplo AI focuses strongly on multilingual performance. The platform supports more than 95 languages, including English, Spanish, French, German, Italian, Portuguese, Dutch, and many more. This makes it suitable for global teams, service providers, agencies, and freelancers who work across countries and need reliable translations, localized content, and language‑aware writing. Users can assign language preferences to agents, adjust style and tone, or ask the system to rewrite, correct, and improve content in different languages while preserving meaning and intent.

Instead of offering a single “black box” AI, Triplo AI connects to multiple large language models and lets users decide which one to use, or combine them. The platform supports OpenAI (including GPT‑4‑series models), Google Gemini, DeepSeek, Claude, and others via API keys, as well as Triplo’s own hosted models for users who do not want to handle APIs themselves. This flexibility lets users choose between speed, accuracy, cost, or specific strengths such as coding, reasoning, or creative writing. For many everyday tasks, Triplo AI’s native integration with GPT‑4.1 and similar models provides a strong balance of quality and performance.

Automation is another key focus. Triplo AI includes “Tools” and “Workflows” that let users chain actions and build small automations without any coding. For example, an agent can read a file, summarize it, translate it into three languages, and generate social media posts in a single run. Workflows can also be used to create standard procedures for repetitive tasks such as onboarding emails, support replies, content outlines, or SEO descriptions. Users can share these tools and workflows with teammates, making it easier to keep everyone following the same process and style.

For teams, Triplo AI provides collaboration features like shared workspaces, role‑based access, and shared agents. Team members can see common resources, reuse the same prompts, and maintain a shared brand voice, while sensitive projects can be kept in private workspaces. This structure helps agencies, startups, and companies reduce duplicated work and keep AI usage under control. Teams can also use Triplo AI for internal knowledge bases, feeding documents, SOPs, and notes into the system so agents can answer questions based on company‑specific information.

Privacy and data protection are central selling points. Triplo AI is built and hosted in Europe, aligning with strict data protection practices. The platform states that user data is not used to train public AI models, and users remain owners of their content. For businesses that operate under GDPR or similar regulations, this gives added reassurance compared with generic AI tools that may send data to multiple third parties. The ability to bring personal API keys for external models also allows more control over where data is processed.

The interface is designed to be straightforward even for non‑technical users. Triplo AI’s chat layout will feel familiar to anyone who has used a modern AI chatbot, but with added structure: threads can be organized under projects, agents are clearly labeled, and tools are accessible within the same environment. Users can upload files, paste text, or connect data sources, then ask natural‑language questions or give instructions. The system responds with clear, formatted answers and can generate content such as emails, blog posts, reports, code snippets, FAQs, product descriptions, lesson plans, or summaries.

Triplo AI stands out for users who want an AI platform that is both flexible and organized. Where many AI tools focus on single tasks—writing only, coding only, or simple chat—Triplo AI ties these functions together in one workspace with strong project structure and multilingual support. Agencies handling many clients, consultants juggling multiple projects, and businesses with international audiences can all centralize their AI work instead of jumping between tools.

Pricing (as presented on AppSumo and Triplo’s site) is positioned to be accessible for solo users while scaling to teams. Lifetime deals on AppSumo provide a one‑time payment option for early buyers, while standard plans on Triplo’s website offer monthly and yearly subscriptions with varying limits on messages, agents, and team members. This gives flexibility for users at different stages, from freelancers just starting with AI to established companies needing more volume and collaboration features.

Use cases highlighted across Triplo’s materials include content creation, customer support drafting, coding help, research summaries, translation and localization, internal documentation, course creation, and social media planning. For example, a marketing team can create agents for blog writing, ad copy, and email sequences, each with its own tone and instructions, then share them across the department. A software team can rely on coding agents to review code, generate functions, and write documentation. A service business can build a knowledge‑based agent trained on FAQs and policies to help staff respond consistently to client questions.

Triplo AI also supports prompt libraries and reusable instructions, so users do not have to repeat detailed context every time they start a new chat. By saving prompts and assigning them to agents or workspaces, teams can keep quality and style steady across hundreds of outputs. This not only saves time but also reduces the risk of inconsistent messaging or missed details.

Overall, Triplo AI brings together multi‑model AI access, multilingual support, custom agents, automation workflows, and organized workspaces into a single platform focused on privacy and practical daily use. Instead of scattering AI usage across many disconnected tools, users gain one central place to write, translate, code, plan, and collaborate with AI in a way that fits their structure and language needs.

Key Features

– Custom AI agents with roles, tone, and rules tailored to each task
– Organized workspaces to separate projects, clients, and topics
– Support for 95+ languages for writing, translation, and localization
– Access to multiple AI models (OpenAI, Gemini, Claude, DeepSeek, Triplo models)
– No‑code tools and workflows to automate multi‑step tasks
– Team collaboration with shared workspaces, agents, and prompt libraries
– File upload and document‑aware chats for summaries, Q&A, and extraction
– European hosting with strong focus on privacy and data control
– Flexible pricing with options for solo users and growing teams
– Simple, chat‑based interface suitable for both technical and non‑technical users

TLDR (Too Long Didn’t Read)
Triplo AI is a European AI workspace that lets individuals and teams create custom AI agents, organize projects into clear workspaces, and handle writing, translation, coding, and research in more than 95 languages. It connects to multiple leading AI models plus Triplo’s own models, supports reusable prompts and no‑code workflows, and gives teams shared tools and agents for consistent output, all while keeping a strong focus on privacy, data control, and an easy‑to‑use interface.

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