Chapter 10

Workflows

Design modular task execution pipelines on a drag-and-drop canvas with automated validation, review loops, plugin pathways, and strict edge connection rules.

Overview

Workflows define how tasks move sequentially or conditionally through annotation, quality assurance review, plugin execution, and completion. Navigate to Workflows in the left sidebar to build and manage flow graphs.

Workflow Node Types

Every workflow is constructed from five distinct node types:

START

Start Node

Entry point of the pipeline. All newly generated tasks begin here. Exactly one outgoing edge.

ANNOTATION

Annotation Node

Human annotation stage where annotators complete labeling tasks. Exactly one outgoing edge.

REVIEW

Review Node

Quality assurance gate where QC reviewers evaluate submissions. Exactly two outgoing edges: approve and reject.

PLUGIN

Plugin Node

External automated ML or heuristic processing. One or more outgoing edges, each mapped to a unique Pathway ID.

COMPLETE

Complete Node

Terminal node. Tasks reaching this node are locked, verified, and complete. Zero outgoing edges.

Guide: Creating a Workflow

Step-by-Step Guide

1

Navigate to Workflows and click Create Workflow

Click Workflows in the left navigation and click the blue Create Workflow button.

Figure 51: Create Workflow Page

Figure 1: Create Workflow Page

2

Configure workflow name and template

Enter a unique Workflow Name, optional Description, and select a starter template: Blank Workflow, Annotation & Review, or Assisted Annotation.

3

Add START node

Drag a START node from the Node Library onto the visual canvas.

4

Add ANNOTATE node and connect

Drag an ANNOTATE node onto the canvas and connect the outgoing handle of the START node to the input of ANNOTATE.

Figure 52: Workflow - Annotate Node

Figure 2: Workflow - Annotate Node

5

Add REVIEW node and connect

Drag a REVIEW node onto the canvas and connect the outgoing handle of ANNOTATE to REVIEW.

6

Add COMPLETE node and connect approval/rejection paths

Add a COMPLETE node. Connect the REVIEW node's Approve path to COMPLETE, and its Reject path back to the ANNOTATION node.

7

Assign Pathway IDs (for Plugin nodes)

If using PLUGIN nodes, assign a distinct Pathway ID to each outgoing branch (e.g. confident, needs_review, escalate).

8

Validate and Save

Click the Validate button to run the automatic rule checker. Once passed, click Save to publish.

Managing Workflows

  • Edit Workflows: You must remove a workflow association from any active project before modifying its node architecture.
  • Delete Workflows: Only workflows not actively linked to any existing project can be deleted.

Workflow Validation Rules

Canvas Graph Edge Constraints
  • START and ANNOTATION nodes must have exactly one outgoing edge.
  • REVIEW nodes must have exactly two outgoing edges (one approve path and one reject path).
  • PLUGIN nodes must have at least one outgoing edge, each designated with a unique Pathway ID.
  • COMPLETE nodes are terminal and must have zero outgoing edges.
  • All non-terminal nodes must have at least one outgoing edge (no dead ends).

Release notes - 2026

What’s New in 2026 — new capabilities, refinements, and fixes, in the order they landed.

v0.9 October 6, 2026

Dataset File View

Location: 5. Dataset Setup and Management

We’ve introduced a new Dataset File View in TensorAct, making it easier to browse, preview, and manage files within a dataset. Users can now switch between the existing List view and the new View tab, which displays files as thumbnails with file previews, file names, and quick actions. The new File Viewer allows users to preview files and navigate between them using Previous and Next controls, while supporting file-specific viewing for Images, PDF, PDFOCR, TEXT, CSV, Audio, and Video files. Pagination and items-per-page controls make it easier to navigate large datasets, while file selection allows users to select and delete multiple files directly from the View tab. Additional controls such as file-name copying, media playback, progress tracking, and audio controls provide a more convenient and efficient dataset file management experience.

Change Task Stage from the Project Task List

Location: 8. Projects and Task Management

Project managers and administrators can now quickly change the stage of multiple tasks directly from the Project Task List. By selecting one or more tasks, users can transition tasks to different stages without needing to open each task individually. This enhancement significantly speeds up project management workflows and bulk task tracking.

Azure Blob Storage Integration

Location: 7. Integrations

TensorAct now supports direct integration with Azure Blob Storage. Users can securely connect their Azure storage accounts using either a Shared Access Signature (SAS) Token or a Service Principal. Once connected, users can browse their Azure storage containers directly from the TensorAct interface, select specific folders, and seamlessly import large batches of files into their datasets.

Reviewer Feedback and Pinned Feedback Management

Location: 8. Projects and Task Management

We’ve enhanced the feedback loop between annotators and reviewers. Reviewers can now add detailed feedback and pin specific issues directly to task items. The new issue management panel allows annotators to see all pinned feedback at a glance, reply to comments, and resolve issues systematically, ensuring higher data quality and clearer communication during the review process.

Email Notification Triggers

Location: 17. Email Templates

Administrators can now configure automated email notification templates and triggers. Located in the Settings menu, this feature allows you to customize the content of emails sent to users based on specific system events, keeping project teams instantly informed about task assignments, stage changes, and critical updates.

Uploading and Importing Files

Location: 6. File Management

We have introduced clearer guidelines and limits for file uploads to ensure optimal performance. Users uploading files from their local device can select and upload up to 100 files at a time. For larger batch imports, users leveraging our cloud storage integrations (AWS S3, Google Cloud Storage, or the new Azure Blob Storage) can import up to 25,000 files in a single action.

v0.8 September 8, 2026

Release Summary

Change Type Sections
Added
Updated
Removed No sections removed in this release

Sign-Up & Onboarding

Location: 1. Sign-Up & Onboarding

We’ve introduced a comprehensive Sign-Up and Onboarding system in TensorAct, establishing standardized self-registration and administrator-guided onboarding workflows. Users with verified business email domains can now self-register directly into their company’s workspace, receiving an automated temporary password with mandatory password change enforcement upon first sign-in. For users from unregistered companies, the system detects the domain and provides a streamlined modal to submit a new company registration request to our team. Additionally, the release introduces administrator-initiated user creation with welcome notifications, secure password rotation for pending onboarding invites, and strict email validation rules that reject personal email providers to safeguard platform security.

Deleting Users

Location: 4. User Management

Super Users and Company Admins can now permanently delete user accounts directly from the Users list. The feature supports bulk operations via multi-select checkboxes and incorporates a safety confirmation modal requiring administrators to type DELETE in uppercase to prevent inadvertent deletions. Deletion immediately invalidates active user sessions, presenting an access revocation message upon sign-in. To maintain workflow integrity, in-progress tasks are handled automatically: unsubmitted annotation and review tasks claimed by deleted users are released back to the pool for other team members to claim, while all previously submitted annotations and review decisions remain fully preserved.

Google Cloud Storage (GCS) Integration

Location: 7. Integrations

TensorAct has expanded its cloud storage integrations to include native support for Google Cloud Storage (GCS) alongside AWS S3. Accessible under the Integrations menu, administrators can connect GCS buckets using a secure Google Cloud Service Account permission model without handling static access keys. The platform provides pre-generated CORS setup commands for Google Cloud Shell and includes a built-in integration testing tool to verify bucket connectivity against object URLs. Once configured, users can browse GCS bucket directories, search files, and import large datasets directly into TensorAct from the cloud file browser.

Email Templates

Location: 17. Email Templates

Super Users can now customize and manage automated platform notification emails via the Email Templates interface located in Settings. The platform maps distinct email templates to critical system events, including Password Reset, MFA/OTP verification, new account Welcome messages, company access invitations, project team assignments, and account activation or deactivation alerts. This centralized notification management ensures project teams and users receive clear, automated, and timely communication across the entire user and project lifecycle.

Exporting Results

Location: 8. Projects and Task Management

Users can now export task annotation results directly from the Project Tasks dashboard. The export process packages output data into a structured ZIP archive named after the project (<Project Name>.zip), containing individual JSON files for each task (<Task Name>_<Project Name>.json) to guarantee modular data management. The export scope adapts dynamically based on user selection: teams can export specific manually checked tasks, all displayed tasks using the master checkbox, or filter exports by workflow stage (such as exporting only completed tasks under the Complete node filter).

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