FocusPilot OS
An operating system for focused work
Autonomous AI that plans work around mental energy, not just time.
The Problem: Productivity Tools Ignore the Brain
Current tools assume we're machines, not humans. They optimize for time, but ignore the reality of fluctuating cognitive capacity.
Core Insight
Time ≠ Cognitive Capacity
Mental energy fluctuates
Cognitive capacity varies hourly, not constant
Cognitive overload is predictable
Fragmentation patterns emerge before burnout
Planning must adapt dynamically
Schedules should respond to real-time mental state
FocusPilot OS
01
Manages mental energy, not just tasks
Tracks cognitive load alongside deadlines
02
Detects overload & fragmentation
Identifies when focus is breaking down
03
Dynamically restructures schedules
Adapts plans based on real-time capacity
04
Protects deep work automatically
Creates uninterrupted focus blocks
User Flow: Simple Input → Intelligent Output
Add tasks with time & priority
Quick entry with optional constraints
Click Sync Tasks
Trigger autonomous planning cycle
AI analyses cognitive load
Overload and fragmentation detection
Breaks inserted automatically
Recovery periods based on energy levels
Task order optimised for focus
Deep work protected in optimal windows
Agentic Architecture
Heuristic–Agentic Loop
Telemetry Engine
Collects behavioural signals and energy patterns
Risk Agent
Calculates overload and fragmentation scores
Planning Agent
Uses LLM reasoning to restructure schedules
Evaluator Agent
Audits decisions for quality and feasibility
Why This Is Truly Agentic
Beyond Rules and Reminders
Agents reason over system state
Not hardcoded rules—dynamic understanding of context
Plans adapt continuously
Every sync cycle reassesses priorities and capacity
Decisions are justified
Clear reasoning shown for every schedule change
Autonomy with human control
AI proposes, user always decides final plan
Opik as a Core System Layer
Observability Is Not Optional
Every planning cycle logged as an experiment
Complete trace of inputs, reasoning, and outcomes
Cognitive metrics tracked over time
Overload scores, fragmentation indices, and recovery patterns
Decisions fully auditable
Why each task was moved or rescheduled
Safe autonomous behaviour
Regression tests and failure mode detection
LLM-as-Judge Evaluation
Agents Evaluating Agents
Separate Evaluator Agent
Independent quality assessment
Scores every plan on resilience, feasibility, and priority alignment
Multidimensional quality metrics
Stored as Opik feedback scores
Evidence for continuous improvement
Development with Opik: Compare planning strategies, tune prompts with evidence, detect failure modes early, and validate improvements safely.
FocusPilot OS
A blueprint for deploying autonomous agents safely in human-centric systems
$1T
Global burnout cost
Prevented through early overload detection
100%
Transparent decisions
Full audit trail with reasoning shown
Continuous
Adaptive planning
Dynamic response to mental energy levels
FocusPilot transforms productivity from efficiency obsession to sustainable resilience. Built with Opik for safe, auditable autonomous behaviour that supports—not replaces—human judgement.