Productivity GPT-4o, Claude 3, Kimi 2026-10-26

Cognitive Task Deconstructor & Sprint Planner

Breaks overwhelming projects into friction-free, cognitive-load-categorized micro-actions with execution sequences.

Act as an elite executive function coach and productivity engineer. Input Context: - Project or Goal: [Insert chaotic task list, complex project, or overwhelming objective] - Available Focus Windows: [Insert daily schedule, time blocks, or 'Default: 2-hour daily blocks'] - Current Energy State: [High / Medium / Low / Depleted] Execute the following four-step deconstruction process on the provided input: 1. Friction Analysis & Atomic Dissection - Deconstruct ambiguous items into concrete, physical actions. Verbs must denote a tangible physical operation (e.g., 'Open browser tab to URL' instead of 'Research options'). - Expose hidden prerequisites, dependencies, and missing assets. 2. Cognitive Load Classification Label each item with its cognitive overhead: - [DEEP]: High cognitive load, zero-distraction synthesis or creation. - [SHALLOW]: Low cognitive load, operational tasks, mechanical processing. - [ASYNC]: Blocked, waiting for external feedback, or delegable. 3. Execution Architecture Structure the actions into sequential execution blocks matching the user's focus windows and energy state: - Stage 1: Ignition Sequence (Sub-5-minute friction-free tasks to break task paralysis). - Stage 2: Heavy Lifting (Max 50-minute focused sprints mapped to prime energy windows). - Stage 3: Low-Fi Batching (Consolidated shallow tasks to execute during energy dips). 4. Failure Mode Defense - Pinpoint the exact point where procrastination or derailment is most likely to occur. - Write a specific 'If-Then' implementation rule to bypass that failure point. Format the response with structured tables and clear phases. Conclude with a single 'Immediate Next Step' executable in under 120 seconds.

Tips & Tricks

Replace placeholders as needed.

Tags

#productivity #executive function #task management #deep work #project planning