Wordware

Instead of writing complex orchestration code to chain together prompts, tool calls, and conditional logic, developers and non-developers alike define AI workflows in Wordware's structured document environment specifying inputs, writing prompts with embedded logic, connecting external tools via API integrations, and previewing outputs in a format that is readable and collaborative in a way that traditional code is not.

This approach bridges the gap between technical AI engineers and the product managers, analysts, and domain experts who understand the business logic that AI applications need to implement.

The platform supports building agents that can browse the web, search databases, call APIs, process documents, and take multi-step actions in response to triggers all defined through Wordware's workflow interface without requiring familiarity with agent orchestration frameworks like LangChain or LlamaIndex.

Version control, branching, and collaborative editing are built into the platform, allowing teams to iterate on AI workflows with the same discipline they apply to software development without the overhead of managing code repositories for what are fundamentally document-like assets.

Teams can test workflows against real inputs directly in the editor, inspect intermediate steps, and iterate on prompts with immediate feedback.

Wordware deploys AI workflows as callable APIs with a single click, making it straightforward to integrate AI capabilities built in the platform into existing products and internal tools.

Its access control model allows organizations to share specific workflows with stakeholders for review and collaboration while maintaining appropriate governance over who can modify or deploy production workflows.