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apps/docusaurus/zeusfyi/docs/mockingbird/builder/json_schemas.md

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+---
+sidebar_position: 7
+displayed_sidebar: mockingbird
+---
+
+# JSON Schema Builder
+
+## Intro
+
+The JSON Schema Builder and Integrator is a comprehensive tool designed to streamline the process of creating,
+managing, and utilizing JSON schemas within AI-driven workflows. This tool bridges the gap between generating AI
+JSON outputs and integrating them with various systems through API calls, while incorporating automated
+evaluations and human approval processes.
+
+![Screensho](https://github.com/zeus-fyi/zeus/assets/17446735/dd039918-acb7-4783-86a5-3aff043c043a)
+
+## Features
+
+### JSON Schema Definition and Storage
+
+Define JSON Schemas: Users can easily define JSON schemas for specific tasks, ensuring that the AI-generated output
+adheres to the required structure.
+Store Schemas: Once defined, schemas are stored and can be reused across different AI tasks, providing consistency and
+saving time.
+
+### AI Task Connection
+
+Attach to AI Tasks: Schemas can be linked to AI JSON output tasks, which use the defined schema to structure the output
+data correctly.
+
+### Automated Evaluations
+
+Connect schemas to automated evaluations to ensure that the AI output meets quality and relevance standards before being
+passed along the workflow.
+
+### Temporal Workflow Integration
+
+API Workflow Integration: Seamlessly integrate the JSON payloads into Temporal workflows that can make API calls to
+external systems, allowing for robust process automation.
+
+### Human Approval Triggers
+
+Triggered Approvals: Set up conditions under which human approvals are required, adding an extra layer of verification
+to the automated process
+
+## Getting Started
+
+### Step 1: Defining a JSON Schema
+
+Access the Schema Builder: Navigate to the Schema section of the tool.
+Create a New Schema: Enter a schema name, description, and select the response type (single object or array of objects).
+Add Fields: Specify field names and data types, and provide descriptions for each.
+
+### Step 2: Connecting to AI Tasks
+
+Select AI Task: Choose the AI task you want to connect with your schema.
+Attach Schema: Link the AI task with the appropriate schema to ensure structured output.
+
+### Step 3: Setting up Automated Evaluations
+
+Define Evaluation Criteria: Establish rules and conditions for the automated evaluation of AI outputs.
+Attach Evaluations: Link these evaluations to the AI tasks to be automatically triggered upon task completion.
+
+### Step 4: Integrating with Temporal Workflows
+
+Use the API approval trigger, and connect your API, which will be sent the payload from the triggered output if
+approved.
+These all run within a Temporal workflow, that feature durable execution, so you can chain them together
+with other tasks, and run them on a schedule, or manually.
+
+### Step 5: Implementing Human Approval Processes
+
+Define Approval Conditions: Determine the conditions under which human intervention is necessary.
+Set up Notifications: Configure notifications to alert the appropriate personnel for approvals.
+Approval Workflow: Integrate the approval process within the workflow before any external API calls.