WEBVTT

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Welcome to AI Studio.

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This tour covers seven chapters, from building applications, connecting data and automating work to operations and administration.

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The screens use illustrative data.

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Available actions depend on permissions and deployment configuration.

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Create your first application.

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Build a chatbot, agent, chatflow or workflow.

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Open Studio and create an application.

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Choose Chatbot for a conversational assistant, Agent for tool-assisted tasks, or Chatflow/Workflow for a visual flow.Configure variables, opening messages, business processes, speech recognition, text to speech and image generation with suitable models.

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Explore model providers.

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Compare the provider catalog before configuring models.

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Open Marketplace and search by provider name or model type.

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Connect AI models.

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Choose the models your workspace can use.

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Open Integrations → Model provider and select a provider from the catalog.

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Enter its endpoint and credentials as required.

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Manage your account.

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Keep sign-in details and personal preferences up to date.

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Open your account from the user menu to review your profile and account settings.

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Build a knowledge base.

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Ground answers in your own documents.

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Open Knowledge and create a knowledge base.

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Upload documents or connect a supported source, then select the parsing and indexing settings.

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Manage documents and chunks.

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Track ingestion, inspect original documents and manage chunks used for retrieval.

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Open Knowledge, select a base and open its document list.

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Upload files or use a connected source.

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Test and tune retrieval.

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Inspect retrieved context before using it in answers.

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Select a knowledge base, open Retrieval and enter a realistic question.

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Inspect the returned chunks and scores.

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Economy indexing has no vectors and only supports full-text search.

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Reranking adds a model call and may send chunk content to the selected provider.

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Design knowledge ingestion pipelines.

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Choose a template and customise how data enters a knowledge base.

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Open Knowledge → Custom to review available pipeline templates.

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Connect data sources.

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Reuse source connections for document ingestion.

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Open Integrations → Data sources and add a supported connection.

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Enter its configuration and credential references.

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Connect external knowledge.

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Connect an existing retrieval service in your organisation.

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Open Settings → External knowledge and register a service name, endpoint and required key.

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This service receives outbound queries; it differs from a source that imports documents.

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The destination must satisfy connection policies and data labels.

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Give agents tools.

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Connect built-in tools, HTTP APIs and MCP servers.

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Open Integrations → Tools.

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Choose a built-in provider, add an API tool or configure an MCP server with its endpoint and authentication.

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Use extension APIs for moderation.

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Register a moderation endpoint managed by your organisation.

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Open Integrations → Extension and enter a name, endpoint URL and an API key if required.

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An extension is an HTTP call to your endpoint, not a downloaded executable plugin.

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The endpoint receives user messages and follows outbound-access policy.

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Design visual workflows.

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Connect processing steps and inspect each run.

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Open a Workflow or Chatflow app and enter its workflow editor.

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Define input fields on the start node.

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Automate with triggers.

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Start workflows from events or schedules.

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Open Integrations → Triggers to review the available types and existing workspace triggers.

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To create one, open the target Workflow app, save its draft and select the root/start node.

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Configure the trigger in that node’s Triggers panel; triggers are not created from the workspace overview.

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Review approval requests.

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Keep a human decision in approval-gated flows.

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Open the approval inbox to find requests you are allowed to review.

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Select a pending request.

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Publish and share.

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Deliver a tested version through the right channel.

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Open the app, test its draft and publish the version you want users to run.

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Draft edits need a new publication to reach users.

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Use the application API and MCP.

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Integrate published apps into another system.

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Open an app → API access and read its generated endpoint, input schema and examples.

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Publish the app before calling its published interface.

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Read logs and execution traces.

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Trace application results back to conversations or execution steps.

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Open an application and select Logs.

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The list shows conversations or workflow runs depending on application type.

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Set up canned answers.

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Provide consistent answers to explicitly matched questions.

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Inside an application, open the logs and canned-answers area.

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An exact match after normalisation returns the canned answer without a model call.

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Approximate matching is not used.

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Monitor usage and quality.

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Understand runs, costs, feedback and audit events.

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Open Operations and select the relevant time range and filters.

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Review activity, token usage, cost and quality indicators.Inside an application, create evaluation datasets, run tests and compare compatible runs; export training data when needed.

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Manage long-term memory.

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Review and govern information retained across interactions.

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An authorized memory administrator opens Memories to review the dashboard and extraction queue.

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Check items and their source context before acting.

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Manage your workspace.

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Organize members, roles, API keys and quotas.

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Use the workspace menu to select the right workspace.

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Open Workspace settings to manage members and invitations.

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Create roles and assign permissions.

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Define workspace permissions around team responsibilities.

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Open Settings → Custom roles using an account allowed to manage roles.

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Workspace roles do not automatically grant instance administration.

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Check both allowed operations and operations that must be denied.

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Configure data protection.

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Align AI usage with your organization’s data policies.

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Open Settings → Data protection to review sensitivity levels and the available PII, OCR and data-handling policies.

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Set up branding, storage and identity.

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Configure workspace services from dedicated settings pages.

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Use Branding to set the workspace identity.

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Open Storage to configure the available S3 storage settings and verify access before using it for documents.

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Manage S3 storage.

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Monitor the bucket, storage use and unreferenced objects.

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Open Settings → Storage to inspect bucket status, use, object counts and measurement time.

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Configure single sign-on.

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Connect an identity provider and map user groups.

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Open Settings → Single sign-on.

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Add the issuer, client ID and credentials supplied by the identity administrator.

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Fine-tune a model.

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Submit and track training through configured providers.

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Open Settings → Model training and review the available training channels.

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Unavailable channels are identified in the page.

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Administer the instance.

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Operate the installation beyond a single workspace.

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Sign in with an instance administrator account and open Administration.

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Workspace ownership alone does not grant instance administration.Instance administration also includes organisations, accounts, service health, runtime settings, network rules and feature flags.

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Instance administration is separate from workspace roles.

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For step-by-step practice, open the corresponding guide on the AI Studio website.

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Thank you for watching.
