AI AGENT DESIGN
Structured intent and escalation
Rule-based detection provides an explainable example of an agent pipeline. In production, an approved model and grounding/evaluation approach can be scoped.
01 / Configure the business workflow
Use fictional sample text only. Do not enter real health, client or financial information.
Safety and workflow controls
02 / Local workflow engine
Choose a scenario and click Run demo workflow.
0Process steps
0Review flags
IdleDecision stage
Ready for your scenario
No records are created. All processing is in this browser.
A scripted rules-based exercise, not generative AI, cybersecurity scanning, a connected CRM, health advice, real invoice posting or live software deployment.
What did you just test?
CUSTOM SOFTWARE
Task queue and approval states
The interface changes between generated, approved and revision-needed stages without inventing external deliveries.
DEFENSIVE SECURITY
Controls as hard requirements
Missing consent, audit or review gates produce explicit blockers. An actual deployment needs independent testing, access reviews and authorization.
Explore industry-specific implementation notes
Want this connected to your systems?
Explain your approved tools, intended users, consent model, task owner and required integrations. A real delivery needs an agreed scope, credentials handled server-side, testing and support.