AI Trust Centre

The AI Trust Centre is your durable evaluation surface for a Nexus bot - separate from the day-to-day Playground on each agent. The Playground answers "does this conversation work?"; the Trust Centre answers "is the bot, overall, getting better or worse?" and "what should I fix next?".

It lives at the top-level studio nav (labelled AI Trust Center in-product - note the US spelling) alongside AI Agents and Automation. This section documents the four surfaces that are live today.

Documented pages

Page	What it does
Testing Lab	Where you build test cases, group them into datasets, and run them. Scenario AI-generation + Import Content, assertion picker, run history.
Evaluators & Rules	The scoring criteria every run uses. 10 evaluators (7 Quality + 3 Safety) with tunable thresholds, plus hard invariant Rules.
Test Case	Per-case detail: conversation paired with the execution trace that produced it, picked assertions, edit + re-run.
Reports	Per-run breakdown - filter, evaluator rules applied, individual simulation results, saved views.

How the Trust Centre fits the build loop

Use the Playground to try, the Trust Centre to measure and triage.

Starter prompts for the Nexus AI

The right-hand Nexus AI panel in the studio can answer questions about your bot's Trust Centre state. Try:

💡 Try the Nexus AI: "Give me a starter regression-test plan for my Nexus bot - 10 cases covering golden path, routing rules, and edge cases."

💡 Try the Nexus AI: "Summarise my latest run - which test cases failed and what do they have in common?"

💡 Try the Nexus AI: "Recommend evaluator thresholds for a high-stakes bot - stricter on Hallucination and Accuracy, more permissive on Empathy."

Read next

• Testing Lab - start here if you're building the regression dataset.
• Evaluators & Rules - start here if you need to tune what counts as a pass.
• Test Case - start here to inspect a single case's conversation and trace.
• Reports - start here when you want to see what happened in a specific run.