Work Capacity Planner: An AI Voice Input-Based Intelligent Task Management and Capacity Planning System

Work Capacity Planner is an open-source Electron desktop application integrating the Claude Opus 4.1 large model and OpenAI Whisper speech recognition. Its core features include automatic extraction of structured tasks via natural language voice input, identification of dependencies in multi-step workflows, and intelligent priority scheduling based on capacity constraints. It aims to solve the problems of tedious manual input and difficulty modeling complex asynchronous workflows in traditional task management tools, providing knowledge workers with an efficient task management experience.

In modern work environments, tasks are often interconnected multi-step processes (e.g., developing a feature requires requirement analysis → coding → review → deployment, etc.). Traditional tools struggle to effectively model dependencies and waiting times in asynchronous workflows. The design philosophy of Work Capacity Planner is to let AI understand natural language descriptions and automatically build complex workflow models: users only need to describe tasks via voice, and the system can extract structured information, identify dependencies, and intelligently schedule based on personal work capacity.

AI-Driven Task Extraction Engine

1. Speech recognition layer: OpenAI Whisper API converts voice to text (supports real-time recording/audio upload);
2. Intelligent understanding layer: Claude Opus 4.1 analyzes semantics, extracts task information, identifies multi-step processes and dependencies;
3. Context awareness: maintains persistent work context and industry term dictionary.

Advanced Task Management Features

• Eisenhower Priority Matrix: 2D scoring visualizes task distribution, identifies high-priority clusters;
• Multi-step workflows: supports serialized tasks with complex dependencies (pre-dependencies, estimated duration, waiting time);
• Task type differentiation: "focus work" and "administrative tasks" are calculated separately for capacity to avoid fragmentation of deep work.

Intelligent Scheduling Engine

Three modes: optimal mode (earliest completion), balanced mode (adheres to daily capacity), manual mode (conflict detection); uses topological sorting to parse dependencies, critical path analysis to identify task chains affecting progress, inserts parallel tasks during asynchronous waits.

Voice Correction System (Beta)

Supports voice updates for task status, time recording, adding notes, adjusting workflows; calculates AI confidence to ensure accuracy.

UI Design

Adopts React+TypeScript+ArcoDesign tech stack, provides six core views: task list (inline editing), Eisenhower Matrix (visual four quadrants), calendar view (weekly plan), workflow view (graph editor), timeline (Gantt chart), work log (dual-view tracking); built-in developer tools (log viewer).

Data Security

• Persistence: SQLite local database + Prisma ORM;
• Security measures: process isolation, secure IPC (contextBridge), API key protection (only main process access), no direct file/API access from rendering process to ensure data privacy.

Work Capacity Planner applies to:

• Software development teams: manage asynchronous development processes (code review, CI/CD waiting, QA verification), accurately estimate delivery time;
• Project managers: voice record meeting task assignments, automatically identify dependencies and resource conflicts;
• Freelancers: track parallel progress of multi-client projects, take orders reasonably based on capacity;
• Researchers: manage complex research processes (literature reading, experiment waiting, data analysis).

It helps users shift from manual entry to natural language interaction, static lists to dynamic workflows, simple reminders to intelligent scheduling.

Current Status

Core features implemented: voice recording/transcription, AI task extraction, task/workflow management, intelligent scheduling, timeline visualization, session management, TypeScript strict mode (zero errors), 78 passing tests.

In Development and Future Plans

• In development: fixed-time task scheduling (e.g., meetings), enhanced correction feedback mechanism;
• Future: data export, dark theme, keyboard shortcuts, undo/redo, advanced search, task time analysis, calendar integration, team collaboration, etc.

Work Capacity Planner represents the next generation of task management tools. By combining Claude large model reasoning with professional scheduling algorithms, it provides knowledge workers with an intelligent assistant that understands the essence of work. For efficiency-seeking developers, project managers, and knowledge workers, this is an open-source project worth paying attention to and trying, as it can help improve task management efficiency and workflow rationality.