Wordware

Wordware's editor allows users to express complex agent logic — including conditional branching, loops, and variable assignment — using natural language rather than code syntax. This means a product manager can write 'if the customer sentiment is negative, escalate to a human agent; otherwise, generate a response using the support knowledge base' and have it compile into an executable workflow. The control flow constructs are surfaced through the document interface with visual indicators, making logic transparent to all collaborators.

The platform abstracts the LLM layer so that agent workflows are decoupled from any single model provider. Teams can configure different steps in an agent pipeline to use different models — for instance, a fast and cheap model for classification and a more capable model for generation — and swap providers without rewriting logic. This flexibility supports cost optimization, A/B testing between models, and resilience against provider outages.

Every change to a prompt workflow is tracked with diff-level granularity, allowing teams to review modifications, compare performance across versions, and roll back problematic changes. Role-based permissions let organizations control who can edit, review, or deploy workflows. The real-time collaborative editor supports simultaneous editing, reducing the bottleneck of serial handoffs between domain experts and engineers.

Wordware includes tools for defining test cases, running evaluations against agent outputs, and tracking quality metrics over time — all within the platform. Teams can set up automated evaluation runs that check for regressions when prompt logic changes, compare outputs across model versions, and establish quality baselines before promoting agents to production. This reduces reliance on external evaluation tools and keeps the testing workflow tightly coupled to the authoring experience.

Agents built in Wordware can be deployed as API endpoints, making them callable from any external application, website, or backend service. This deployment model allows teams to use Wordware as the authoring, testing, and management layer while embedding agent capabilities into their existing product stack. The API layer handles execution, logging, and observability, providing a bridge between the no-code authoring experience and production software engineering workflows.