What Review and Editing Capabilities Does gotoHuman Give Human Reviewers?

Updated

gotoHuman gives reviewers a structured inbox where they can approve, edit, retry, and compare AI-generated outputs before a workflow continues. The capabilities apply when you have set up a review type and your workflow sends a review request that references it; reviewers then work in the Agent Inbox or through email/Slack notifications, and completed reviews return to your workflow via webhook.

Review types define what reviewers see and can change

Review types are built in a no-code editor and determine both the content under review and the input captured from the reviewer. According to gotoHuman's feature descriptions, a review type can include fields for:

  • Text
  • Images
  • Markdown
  • JSON
  • Inputs such as buttons and checkboxes

This means the same platform can handle a content approval (text or markdown), a visual check (images), or a structured data review (JSON), with selection controls where a simple choice is enough.

In-place editing of AI outputs

Reviewers are not limited to approve/reject. gotoHuman offers editing tools that let reviewers fix content on the spot, and you can turn on editing per field so selections can also be corrected. The site positions this specifically for AI-generated outputs: reviewers correct wording, formatting, or details directly in the review rather than sending feedback back in a separate message.

Retry loops: send work back to the AI step

When editing is not enough, gotoHuman provides retry controls on fields. A reviewer can loop back to the AI step to regenerate an entire artifact. Where a one-click retry is insufficient, you can pass the prompt along in the request so reviewers can edit the prompt itself before regenerating. This turns the review step into an iteration step rather than a single pass/fail gate.

Checkpoints for comparing generated versions

Checkpoints let reviewers navigate between different generated versions of an artifact, so they can iterate, compare, and then approve. Combined with retries, this supports a workflow where several AI attempts exist and a human picks the best one.

Multi-step navigation and workflow context

For workflows with multiple review steps or manual triggers, gotoHuman provides navigation across the review steps of a single workflow run, plus workflow metadata so reviewers can see how steps are linked. This matters when a reviewer's decision at one checkpoint affects what happens next.

How a review reaches a reviewer

  1. Setup: create a review type in the no-code editor, defining content fields and captured input.
  2. Send request: your workflow requests a review through an integration, referencing the review type and including the relevant content.
  3. Human review: reviewers find pending items in the Agent Inbox (assigned to them or the team) or open them via notification options—email digests or Slack notifications, which can optionally include short-lived public links.
  4. Handle webhook: the completed review is sent back to your workflow via webhook so it can continue with the feedback.

The practical constraint to plan for: the editing, retry, and checkpoint features depend on how you configure the review type and what you pass in the request (for example, passing the prompt to enable prompt editing). Decide which of these controls each review step needs before building it, so reviewers get the right actions at the right checkpoint.