Link claims to sources.
A reviewer should be able to trace a requirement to the conversation or document that supports it.
AGENTIC SYSTEMS · PROTOTYPES & LIVE WORKFLOWS
We research, prototype and build agentic workflows for speech and vision experiments, video production and applications such as Turnwise. The research asks how to automate repeatable steps while retaining the evidence and human decisions needed to review the result.
ONGOING MODEL RESEARCH

Our ongoing NVIDIA, Google and Apple model work examines how visual and spoken inputs can support reviewed tasks. Cloud Mac experiments examine model access and runtime behavior; workflow prototypes connect model output to source references and permitted tools.
Explore the models and access options ↗A reviewer should be able to trace a requirement to the conversation or document that supports it.
A template identifies the inputs and expected output. The workflow records which steps have been completed.
The reviewer needs the draft, the relevant source material and any unresolved questions before approving it.
Our proposed architecture records earlier steps and checks tool outcomes before retrying an interrupted task.
CURRENT PRODUCT EVIDENCE
Turnwise AI offers eight starter templates for using and evolving models through practical work. Each describes a reusable way to work, such as evidence synthesis, process capture or content creation. Teams can review source conversations and documents, ask questions, revise drafts and export their work.
The paper proposes an architecture for source references, tool permissions, review and recovery after an interruption.
Visit Turnwise AI ↗RESEARCH ENGINEERING
In the speech programme, AI-assisted workflows supported data inspection, preprocessing, experiment configurations, evaluation scripts, error categorization and documentation. Humans governed research design, data acceptance and interpretation of findings.
In video production, the workflows support references, versions, editing, assembly and quality checks. Human review governs creative acceptance. Comparative testing of manual and agent-assisted production is a further research objective.
Editorial imagery generated with AI.