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Framework Roadmap

Framework Roadmap • Pretty Jaded

This page shows how Framework will grow from a Canvas-safe HTML builder into an AI-assisted content converter for ARU staff. Phases build on each other, so we get reliability first, then smart features.

Phase 1

Core + Templates

2026 Q1
Phase 2

Smart paste/import

2026 Q2
Phase 3

Dynamic builder

2026 Q3
Phase 4

Office/Google import

2026 Q4–2027 Q1
Phase 5

AI layer

2027 Q2
Phase 6

Institutional

2027 Q3
Phase 1 – Core stabilisation

Goal: lock in Canvas-safe components, ARU surrounds.

Target: 2026 Q1
Canvas-safe component library
Inline CSS No JS
Template engine (ARU surrounds)
Faculty branding Reusable layout
Export UX polish
Copy to Canvas Reliability first
Phase 2 – Smart input recognition

Goal: paste old Canvas content and refresh it.

Target: 2026 Q2
HTML → component parser
Detect headings, text, embeds
Table detector → flexigrid
Ask: data or layout?
Broken link & image scanner
Page QA
Phase 3 – Guided component builder

Goal: no HTML knowledge needed.

Target: 2026 Q3
Component picker + dynamic forms
Schema-driven
Live preview renderer
Canvas-safe preview
Reorder / duplicate / delete
Full page composition
Phase 4 – File & document importers

Goal: upload PPT/Word/Google → get Canvas page.

Target: 2026 Q4 – 2027 Q1
DOCX/PPTX/ODT parser
Extract headings, bullets, images
Normalise → Framework components
Internal JSON first
Review & confirm UI
User validation
Phase 5 – AI enhancement layer

Goal: understand, rewrite, suggest.

Target: 2027 Q2
AI text tools
Improve / summarise / translate
AI content intent recognition
Map to right components
AI QA & accessibility assistant
Pedagogical checks
Phase 6 – Institutional integration

Goal: ARU-ready, SSO, shared templates.

Target: 2027 Q3
SSO (AzureAD / Canvas OAuth)
Seamless access
Faculty template libraries
School/faculty variants
Analytics dashboard
Usage insights