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The Invent panel in Relevance AI

What is Invent

Invent is a forward deployed agent built into Relevance AI. Give it a business process and it works with you to understand how that process runs, including the systems involved and the decisions that require judgment. It then creates and coordinates the Agents, Tools, Triggers, and Workforces needed to carry out the process, with performance requirements in place before real work begins. Its job continues after launch. Invent reviews live performance, detects quality problems, and proposes and tests improvements. You bring the process knowledge; Invent builds and manages the Agent team underneath it.

What can Invent do?

Understand your process

Invent works through your process with you, including its inputs, systems, judgment calls, exceptions, and definition of success. It can read the process back to you, identify missing information, and help determine which parts should become Tools, Agents, or Workforces.

Build and connect the Agent team

Invent creates the Agents needed for the process, equips them with the required Tools and context, connects the systems where the work happens, and wires the Triggers and Workforces that coordinate the process from end to end.

Set and maintain the quality bar

Invent defines the checks each Agent must pass before launch and samples live runs after deployment. When quality drops, it diagnoses the problem and proposes changes to prompts, Tools, examples, models, or orchestration. It can test those changes against the same requirements before you approve them.

Review performance and find opportunities

Invent reviews Agent activity, errors, Evals, and performance dashboards to diagnose problems and recommend improvements. Describe a recurring process, and it can help identify where Agents, Tools, or Workforces could automate it.

Where to find Invent

The Invent entry points on the Relevance AI home page
  • Left sidebar: Click Invent under Build.
  • Home page: Click Build with Invent.
  • Floating button: Click the floating button to open the Invent panel from any page in your project.

Access controls

Availability

Invent is available to organization admins by default. An organization admin can turn on Invent for everyone in an individual project from that project’s settings.

Approval controls

The Ask first and Auto-accept options in the Invent message composerUse the approval control beside the message composer to set how Invent handles tool approvals for the current session:
  • Ask first pauses before tools set to Ask or Always ask run. Tools set to Auto still run without approval.
  • Auto-accept lets tools set to Ask run without approval. Tools set to Always ask still require your approval.

Enterprise security controls

Invent’s access to Relevance AI is scoped to the active project at the API-key and fine-grained authorization layers, not only in the interface. Each internal platform request uses the active project ID and the caller’s API key, then passes through the standard authorization checks. Enabling Invent in a sandbox project does not grant it access to assets in a production project.
Within the active project, Invent can use connected integrations such as Salesforce or Gmail with credentials available to that project. The project is the access boundary, so connect only sandbox credentials if the project must remain isolated from production data.
Conversation content is sent to the selected LLM provider to generate responses. Web search is off by default and used only when enabled for a message. Voice is feature-gated and off by default. Memory is off unless the user enables it. Audit data and operational metrics stay within Relevance AI unless the organization has configured enterprise event streaming to a customer-controlled destination.

How to use Invent

Invent is expensive to run and consumes significant credits. Use it deliberately and keep an eye on your usage.

Invent features

The Invent start menu with suggested prompts and the message composerDescribe a process you know end to end, including the outcome, systems, judgment calls, and measure of success. Invent works through it with you before building the Agent team.You can also choose a task suggested from your project setup, such as creating evals if none exist.
The About You setting in InventAbout You tells Invent who you are so it tailors every response to your role and work from the first message — no re-explaining your context each session. It shapes how Invent talks to you and what it assumes about your work, but it doesn’t change Invent’s role or hardcode any Tool configuration.It adjusts the level of technical detail, makes domain-aware assumptions, and lets Invent address you by name at natural moments.To set it up:
1

Open Invent settings

In the Invent panel, click the three-dot menu, then select Invent settings.
2

Open General

Select General, enter your details under About You, then click Save.
The Invent model list showing each model's cost, performance profile, and support for images and files

Model selection

The model dropdown sets which large language model (LLM) powers your Invent session.The dollar signs show each model’s relative credit cost. Labels such as Fast, Balanced, Powerful, and Thorough summarize the trade-off between speed, cost, and capability. The icons beside each model show whether it can work with images and file attachments.Your plan determines the default model. You can switch models at any time from the dropdown in the Invent panel.

Credit usage

The counter beside the model selector shows the credits used in your current session and updates with each interaction.
Invent task history showing approve, idle, and other statusesPast sessions in your conversation history show each task with a status: approved (the action was applied), idle (waiting for your input), or completed. You can review what Invent did and track credit spend across sessions from the history view.
The Memory settings in InventWhen Memory is enabled, Invent can save and recall details you want it to remember across conversations, such as naming conventions, preferred models, workflows, and recurring constraints.To view, search, edit, or delete your memories:
1

Open Invent settings

In the Invent panel, click the three-dot menu, then select Invent settings.
2

Open Memory

Select Memory, manage your memory settings, then click Save.
Deleting a memory removes it permanently. Invent will re-learn that information if it comes up again in future conversations.
When Invent hits a platform issue it can’t fix, it logs a bug to the Relevance AI engineering team on your behalf. These reports go directly to engineering rather than support, so you won’t receive progress updates.

Manage Evals with Invent

Invent can build an initial Evals suite, review results, investigate failed Checks, and diagnose performance alarms for Agents and Workforces.

Learn more about Evals

Learn how to create scenarios and reusable Checks, run evaluations, and monitor live performance.
Creating evals with InventInvent can turn an Agent or Workforce’s real usage into a starting Evals suite, including a test set, scenarios, and reusable Checks.
1

Start from your Agent or Workforce

On the Run page, select Create with Invent from the testing banner. If a recent Agent task is available, you can instead select Automate testing beside it so Invent uses that run as the example.
2

Describe what success looks like

Add any outcomes, edge cases, or requirements that the Evals should cover. A representative task gives Invent useful context about the inputs, expected behavior, and tools involved.
3

Review and run the Evals

Invent creates the Evals setup and runs the test. Open Evaluate → Runs to review the score and see which Checks passed or failed.
Start with a task that represents normal production use, then ask Invent to add edge cases once the baseline Evals are working.

MCP vs Invent

Invent and the Relevance AI MCP are often compared, but they solve different problems. Invent builds things inside Relevance AI from natural language. The MCP connects Relevance AI to the outside world — letting external clients call your Tools, and letting your Agents reach into external services.

Invent

A forward deployed agent inside Relevance AI. Describe the process you want to run and it builds or edits Agents, Tools, and Workforces for you, landing changes in draft for review.Reach for it when you want to build, edit, or debug something inside Relevance AI by describing the outcome.

Relevance AI MCP

A bridge to other tools. Call your existing Relevance AI tools from external clients like Cursor or Claude with the MCP Server, or let your Agents call services like Notion and Linear with the MCP Client.Reach for it when the Tool already exists and you want to run it from Cursor or Claude, or let an Agent call an outside service.
The two are complementary, not competing. Invent uses the same MCP tool surface under the hood — so a common pattern is to build your Agents and Tools with Invent, then call them from Cursor or Claude through the MCP in your day-to-day work.

Frequently asked questions (FAQs)

Choose a process you know well and can explain from beginning to end. Tell Invent the outcome you need, the systems involved, the decisions that require judgment, and how you measure success. Invent will work through the process with you before it builds the Agent team.
Invent is available to organization admins by default. An organization admin can turn on Invent for everyone in an individual project from that project’s settings.
Invent’s access to Relevance AI is scoped to the active project at the API-key and fine-grained authorization layers, not only in the interface. Each internal platform request uses the active project ID and the caller’s API key, then passes through the standard authorization checks. Enabling Invent in a sandbox project does not grant it access to assets in a production project.
Within the active project, Invent can use connected integrations such as Salesforce or Gmail with credentials available to that project. The project is the access boundary, so connect only sandbox credentials if the project must remain isolated from production data.
Conversation content is sent to the selected LLM provider to generate responses. Web search is off by default and used only when enabled for a message. Voice is feature-gated and off by default. Memory is off unless the user enables it. Audit data and operational metrics stay within Relevance AI unless the organization has configured enterprise event streaming to a customer-controlled destination.
By default, Invent makes changes in draft so you can review them before they go live. Auto-accept lets Invent apply changes without pausing for each approval, but restoring an earlier version always requires confirmation.
Yes. Invent saves conversations as sessions automatically. Open the Chats dropdown in the Invent panel to browse or search previous sessions and continue where you left off.
The Invent panel displays a real-time credit counter that updates with each interaction. The counter tracks the credits used in your current session.