MONOLYTH / ENDURANCE CLASS

Pilot a learning vessel built for interstellar minds.

Monolyth turns any subject into a living ship: missions, sessions, and adaptive rooms that move with you. Launch a topic, attach the material, and navigate knowledge like a star chart.

Calibrate mission profile
Adaptive routingShip-grade focusHabitat modules
ViewportGargantua - locked

Relativistic lensing across the hull glass.

Deck statusHabitat pods online

Rooms configured for focus sessions.

Route, rooms, and mission timeline

Signal intake

Upload PDFs and route them into the ship log.

Crew schedules

Sessions reshape around your energy and availability.

Mission control

Tasks, timers, and notes synchronize into one flow.

Ship habitats

Study rooms mapped to the ship.

Each deck is a learning function. Dock into the room you need and keep the mission in motion.

Bridge

Navigation Bridge

Plot routes, launch missions, and keep the crew aligned on the same vector.

Route plottingSignal intakeCrew alignment
Bay 01

Signal Bay

Upload PDFs and mission briefs for the AI crew.

Bay 02

Vector Map

Concept graph and dependencies across the journey.

Bay 03

Briefing Hall

Milestones, drills, and readiness checks.

01

Signal

Open the channel and declare the subject.

02

Plot

Monolyth plots the route and assigns rooms.

03

Dock

Your habitat modules assemble automatically.

04

Debrief

Review logs and calibrate the next orbit.

Focus capsule

Timed deep work loops with adaptive pacing.

Chrono bay

Calendar slots aligned to focus windows.

Archive bay

Linked notes with contextual summaries and maps.

Mission tasks

AI-task flow with checkpoints and dynamic priorities.

Assemble the habitat deck.

Drag, resize, and dock modules. Monolyth applies your layout to every mission you launch.

Module bay

Notes

Structured, linked notes.

Tasks

AI-sequenced checklist.

Calendar

Auto-scheduled sessions.

Focus Timer

Adaptive intervals.

Learning Map

Concept graph.

Sources

PDFs & citations.

Active deck layout

4 modules
Learning Map
Adaptive concept map
Notes
Semantic notes + key insights
Tasks
AI-scheduled task flow
Sources
PDF references + highlights