Open-Model AI Applications
Connect model capabilities to a real user journey, internal workflow or software product. Effective AI applications require more than a prompt: they need access controls, evaluation, useful interfaces and a well-defined operating model.
Product discovery and feasibility
Start with the job to be done, target users, current systems and desired outcome. Run focused experiments, compare models and identify the data and integration dependencies that matter before a full build.
Application and workflow design
Application design can cover knowledge and document workflows, research assistance, business automation and model-powered interfaces. Each workflow is developed around its users, data permissions, review requirements and existing systems.
Engineering, evaluation and integration
Define model/version usage terms, permitted data, review processes, fallback behaviour, task-specific quality checks and deployment constraints. Combine product design with Forward-Deployed Engineering when close collaboration with the operating team is needed.
Deliverables and handover
Possible outputs include requirements, prototypes, integrated components, evaluation findings, interface documentation and an operational handover plan. Delivery scope, rights to software and model assets, ongoing support and third-party dependencies belong in the agreement.
Discuss an AI application
Describe your users, workflow and current systems. We can explore the feasibility, integration and evaluation work needed for a practical next step.