Canonical: https://instain.ru/en/ai/relevance-ai/ Language: en OnSearch Pty Ltd Platform # Relevance AI. Configurable agents and agent teams for workflows using business data 4.48 / 5 [Directory score](https://instain.ru/en/ai/relevance-ai/#editorial-rating) [Official website ](https://relevanceai.com/) Relevance AI helps build an agent from instructions, knowledge and tools, then connect several agents into a common workflow. The platform includes observability, approvals and programmatic access. ![Relevance AI: a platform for building and maintaining AI agents for work](https://instain.ru/assets/images/relevance-ai-screen-12c8138afe13-1200.webp) Official Relevance AI page: a platform for building and maintaining AI agents for work. [Open the source ](https://relevanceai.com/) ## The role of the agent must be determined. Relevance AI offers to collect agents from instructions, knowledge and tools. Several such participants can be combined into Workforces, where each has its own part of the process. This is suitable for tasks that go through research, classification and preparation of action. However, the name "team of agents" does not in itself explain who makes the decision and who is responsible for the exceptions. It is useful to start with one limited area. Describe the input, acceptable sources and the result that a person can check. Then determine in which situations the agent should stop and refer the question to the responsible employee. ## Tools Link Data and Actions The platform contains a tool builder, integration and knowledge work. You can connect allowed files and services, configure actions and add your own API. Invent helps to create a process by description, but the resulting configuration should still be analyzed in steps. API keys and SDKs connect the platform to your application. The documentation distinguishes external-service keys from Relevance AI’s own keys: the former give agents access to connected resources; the latter provide programmatic platform access. Permissions and project scope matter in both cases. ## Example request workflow Suppose the company wants to distribute incoming messages between departments. One agent defines the topic by reference, another prepares an understandable summary, and an ambiguous case is transmitted to a person. First, the result should be drafts so that you can check the logic without automatically writing to a working CRM. Check the applications without contact, with several questions and with a request outside the approved regulations. The system should show the reason for the choice, save the source text and not come up with the missing data. After that, additional actions can be discussed. The scenario is a design proposal; measurements of accuracy, cost and time savings are not stated here. ## Cost and maintenance The current help directly informs that Free is terminated for new and existing accounts. The paid plans differ between Actions and Vendor Credits, and individual features are available by subscription level. Using your keys does not eliminate the cost of connected models and process operation. Before starting, calculate the actual volume of requests, including repeated attempts and exceptions. Check logs, approval rules and access to sources. When changing the regulations, you need to update not only the text of the agent's instructions, but also related tools, directories and criteria for transferring to a person. ## Suitable tasks - Design the processing of requests with transfer to a person - Prepare a summary from authorized working sources - Linking Special Agents to Workforces - Launch agent or tool from own application Features ## Strengths - Agents, tools and knowledge in a common platform - Alignment and Managed Transfers between Roles - Integrations, API and SDK Things to consider ## Limitations - Free Termination - Payment separates actions and use of models - A reliable process requires customizing rights, exceptions, and supervision ## Selection and conditions Free access No Trial period Not confirmed No sign-up required Not confirmed Russian interface Not confirmed Local installation Not confirmed API Yes “Not confirmed” means there is not enough information. The feature may still be available; check the developer’s terms. Input formats Text, Document, URL Result Text ### Terms Free is discontinued for new and existing accounts. Paid plans take into account Actions and Vendor Credits; the model's own keys and additional resources have separate terms. Cloud-based workspace Relevance AI with customizable data, tools, and participant roles. From task to first result ## Practical example Task Design the processing of requests with transfer to a person What to prepare Sample customer requests and instructions for routing them between departments. ### Task brief or prompt For each appeal, offer a category, a brief explanation and the next step according to the instructions. If you don't have enough data, pass it on to the person. Prepare drafts of changes; recording to external systems is allowed only after verification. ### Expected result Verifiable plan for processing requests and drafts of actions in the configured process. ### How to check the result - Check unknown categories and empty entry. - Check connection permissions and ensure the workflow stops before any action requiring approval. An editorial teaching example of a task brief, not the result of hands-on testing of the service. Check that the required mode is available, that you have rights to the source material and that the intended use of the result is permitted. Check details ## Official sources - [Relevance AI Platform ](https://relevanceai.com/) - [Agents, Tools and Workforces ](https://relevanceai.com/docs/get-started/introduction) - [Current Plans and Termination Free ](https://relevanceai.com/docs/get-started/pricing) - [Software access and API keys ](https://relevanceai.com/docs/get-started/core-concepts/api-integration) This description is based on the developer’s material. Features, prices and availability may change; check the primary source before use. About the tool Developer OnSearch Pty Ltd Category [Work and study](https://instain.ru/en/category/productivity/) Access Cloud-based workspace Relevance AI with customizable data, tools, and participant roles. Payment Free is discontinued for new and existing accounts. Paid plans take into account Actions and Vendor Credits; the model's own keys and additional resources have separate terms. API Yes, from the developer [Developer terms ](https://relevanceai.com/docs/get-started/pricing) Directory score 4.48 / 5 Features 4.60 / 5 Workflows 4.40 / 5 Ecosystem 4.50 / 5 Documentation 4.40 / 5 Scores are an editorial guide to the directory. They are not user reviews or the results of personal testing. [See the methodology ](https://instain.ru/en/methodology/) Keep exploring ## For similar tasks [Full category ](https://instain.ru/en/category/productivity/) Work and study ### [Gumloop](https://instain.ru/en/ai/gumloop/) Working agents with connections, skills and rules of access to actions 4.45 / 5 Platform Trial available Code ### [Dify](https://instain.ru/en/ai/dify/) Visual assembly of AI applications with knowledge base, publication and observation 4.53 / 5 Platform Local installation available Work and study ### [Lindy](https://instain.ru/en/ai/lindy/) Assistant for mail, meetings and repetitive tasks in connected services 4.48 / 5 service Free access confirmed