EVO CAPABILITIES
From a good answer
to work that moves forward.
A persistent AI workspace connects the goal, relevant context, evidence and next action. Explore what each part contributes to the work you actually need to finish.
Explore implemented foundations, development limits and future directions. Public downloads remain closed.
01Persistent work and project state
A persistent AI workspace connects your goal, selected sources, decisions and recorded results, so returning to a project starts with what matters next.
Development foundation02Short-term context and long-term memory
Long-term memory is most useful when you can understand it, correct it and choose what should influence future work.
Development foundation03Intent, clarification and completion
EVO starts with what you are trying to achieve, asks only when a missing answer matters and keeps the final result separate from a successful tool call.
Development foundation04Web research with sources
Source-backed AI research brings the question, relevant evidence and unresolved gaps together, making a conclusion easier to inspect and revisit.
Development foundation05Documents, images and layout
Bring selected documents, tables and images into a reviewable workflow that keeps extracted information connected to the original material.
Development foundation06Computer tools and browser inspection
EVO combines selected local tools, supported app operations and rendered browser evidence, with a clear difference between proposing an action and completing it.
Development foundation07Local and cloud AI cooperation
Local and cloud AI serve different needs. EVO is developing a shared workspace where your task, available device and data choices guide the processing route.
Development foundation08Self-checking and correction loops
EVO connects outcome checks with reviewable improvement suggestions, so a correction can shape future assistance without silently changing the product or your permissions.
Development foundation09Cross-device continuity — planned direction
The cross-device direction is to capture an intention on iPhone, continue suitable work on Mac and return to the result without rebuilding the project.
Planned direction10Private and business data
Private AI work starts with clear choices about what is available locally, what a task may use and what may leave the device.
Development foundation