See Pinkgarden inside the chat you already use

Nine short demos of how ChatGPT (or any LLM) gets answers grounded in system landscape, policies, and backend context your practice already defined.

From Client Question to Use Case

Watch a real technician-scheduling problem become a discovery project with policies checked, records verified, and gaps called out before anyone invents a solution.

Turn Discovery Into Evidence

Pinkgarden opens on the customer’s architecture, policies, and earlier decisions, then turns a confirmed business problem into a traceable use case in seconds.

Map the Landscape. Enforce Clean Core.

Catalog systems, custom apps, and a binding BTP policy get registered as real constraints, so every later design decision stays grounded and auditable.

Design the Solution. Prove the Fit.

A side-by-side BTP design lands with one match, nine partial fits, and one true gap. Uncertainty stays visible as next steps, never dressed up as fact.

From Architecture to Interface Contracts

Nine interfaces land with owners, direction, and status. Verification gaps stay listed, so Clean Core intent never gets mistaken for proven connectivity.

Know What’s Ready Before Handoff

One coherent solution view, a formal review, and a clear verdict: what passed, what is partial, and which open decisions still block delivery.

From Specification to Jira-Ready Backlog

A full functional spec becomes ten epics and forty-four stories with acceptance criteria, guardrails, and visible blockers. Uncertainty stays labeled, not buried.

Inside the Pinkgarden Project Model

Step out of the thread into a governed workspace: discovery, systems, use cases, decisions, and binding policies in one place teams can inspect and update.

Explore 10 Epics and 44 Stories

Ten epics and forty-four stories appear in chat, sequenced from Clean Core foundations to technician experience, still linked to the spec and open governance items.