AI Productivity
Jentic Arazzo UI — visual AI workflows for product teams
As product teams stitch more AI steps together — prompts, tools, API calls, review gates — the logic can quickly become a black box. Arazzo UI from Jentic turns those workflows into a diagram the whole team can read, which makes dependencies, bottlenecks and handoffs far easier to spot.
Why visualising workflows matters
Most AI workflows start simple: one prompt, one output. Then they grow. A retrieval step is added, then a validation check, then a fallback to another model, then a human approval gate. Before long the sequence only exists in someone's head or buried in code. That is when miscommunication creeps in, handoffs break and subtle dependencies get missed.
A visual map forces the team to make the flow explicit. It shows what happens first, what depends on what, and where the workflow can branch or fail. That shared picture is valuable for the product manager, the engineer, the designer and any stakeholder who needs to understand how an AI feature actually behaves.
What Arazzo UI is useful for
I have found three places where Arazzo UI earns its keep:
- Sharing workflows with team members. Instead of walking someone through a script or a sequence of prompts, you can show them the flow. They see the inputs, the steps, the decisions and the outputs in one view.
- Spotting dependencies. When one step relies on the output of another, the diagram makes the chain visible. That helps you identify single points of failure, slow sequential paths and opportunities to run steps in parallel.
- Onboarding and review. New team members get up to speed faster, and peer reviews become about the structure of the workflow rather than just the prompting details.
How I use it in practice
I treat Arazzo UI as a design tool for AI behaviour. Before writing any prompt code, I sketch the happy path and the main failure paths. I share the diagram with the team to check assumptions: is this step really necessary? Who owns the handoff? What happens if the LLM returns something unexpected? Once the structure is agreed, the implementation has a clear blueprint to follow.
It also pairs well with a single AI platform like Claude Code. The platform handles execution, context and prompts; Arazzo UI gives you the map you can point at during stand-ups, planning and retros.
Worth trying on a real workflow
If you have a multi-step AI feature in flight, map it out in Arazzo UI and share it with one colleague who is not deep in the implementation. The questions they ask will tell you where the workflow is opaque, over-complicated or under-specified. That alone is worth the time.