# Squid AI Assistant for SPL-UI Planning | Co-Pilot Guide
> Discover Squid, the intelligent planning co-pilot for SPL-UI. Learn how it uses real-time validation and AI to prevent errors and optimize planning workflows.

Tags: ai-assistant, planning-software, spl-ui, ux-design, artificial-intelligence, outsystems, productivity-tools, data-validation
## WHAT IF YOUR PLANNING TOOL COULD TALK BACK?
* Introducing SPL-UI x Squid AI Assistant, a planning tool designed to communicate with users.

## PROBLEM STATEMENT: SOUND FAMILIAR?
* Issues with old tools: Silent save errors on dates, buried rules, and lack of transparency regarding change history.

## MEET SQUID — YOUR SPL-UI ASSISTANT
* **Smart:** Understands user keywords and intent.
* **Contextual:** Behaves specifically based on the current page.
* **Informed:** Integrates with rules, documentation, and history.

## ASK SQUID ANYTHING
* Functional examples: Querying rank history, date error correction (e.g., catching June 31), filtering personal rules, and defining terms like lead time.

## WHAT'S NEW IN SPL-UI
* Real-time date validation (red/green cell indicators).
* Inline cell editing for faster updates.
* Quick filters for personalized views.
* Complete change history and audit logs.

## HOW SQUID WORKS
* Reads user keywords and checks three sources: Live Rule Data, Confluence Docs, and Change History.
* Technology path: Moving from rule-based to Azure AI-powered.

## TECHNICAL INTEGRATION: OUTSYSTEMS READY
* Prototype built with HTML/CSS/JS blueprint.
* Production delivery engine via OutSystems.
* Key mappings: Squid Panel to Popup Block, Quick Filters to Aggregate Filter, Audit Log to Entity.

## SQUID'S ROADMAP
* **Phase 1:** Rule-based assistant.
* **Phase 2:** Integration with OutSystems and real data.
* **Phase 3:** Confluence knowledge integration.
* **Future:** Azure AI with self-learning and predictive prompts.
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