AI Task & Workflow Prioritizer
Developed natural-language SaaS productivity platform sorting tasks dynamically by urgency and impact using LLM scoring
01 // The Problem Context
Traditional task managers rely on manual priority tags, causing project bottlenecks as team members struggle to identify high-impact items.
02 // Solutions Architecture
Built a modern Next.js interface parsing natural language inputs into structured tasks, combined with an LLM prompt pipeline scoring tasks based on team milestone deadlines.
Workflow Execution Pathway
User enters: 'Prepare Shopify deployment checklist for Friday'
Fuzzy parser extracts date and keyword metadata
OpenAI API evaluates impact/urgency score
Firebase Firestore saves structured task state
Dynamic dashboard updates task ranking visually in real-time
Key Technical Decision
“Opted for client-side fuzzy-matching prior to OpenAI calls to intercept trivial entries, saving 30% in API token costs.”
Audited Performance
Boosted weekly team task completion rate by 28% across 50 active beta workspaces.
03 // Refactor Assessment
“Implement WebSockets for real-time multiplayer cursor collaborative editing.”
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