Human interface
Sight, sound, voice, touch, and spatial perception are the center of the map.
Talking Computers map
Everything Everywhere
An exploratory map for thinking about AI workflows: start with a human task, consider the inputs and tools it needs, and choose an output you can evaluate. The examples are possibilities to investigate with the appropriate tools.
Language routing
Conversation gives intent a portable control layer across tools, media, memory, and action.
Capability fields
Documents, code, images, video, music, research, law, business, science, government, and community work can connect.
Operational responsibility
Files, accounts, permissions, backups, review, retention, private AI, and lifecycle practices keep the system trustworthy.
Examples
Different inputs. Useful transformations.
Voice → transcript → task list → CRM update
Device photo → observations → repair checklist
Document → summary → risks → decision memo
Sketch → interface → code → prototype
Meeting → memory → follow-up → workflow
Room → spatial map → AR instruction → robotic action
Private AI matters
When AI mediates files, memory, workflows, business, legal questions, and devices, privacy, ownership, permissioning, and local context become central design concerns.
O.A.K. matters underneath
Organized context, assembled tools, and kept data make AI workflows inspectable instead of disposable conversations scattered across accounts.
Human judgment remains
The human supplies intent, taste, ethics, embodied experience, social understanding, priority, and final responsibility.
Next step
Use the map to choose practical next steps.
Start with the framework, then decide which information, tools, privacy boundaries, and workflows need to be made legible.