Work environment
The digital or physical place may not yet support the action.
THE CAPABILITY-TO-REALITY GAP
GenAI has capabilities.
Reality still needs outcomes.
A model can reason, generate, classify, plan or call a tool—and the work can still fail to become usable Reality. HSIMC treats that gap as infrastructure and as new productive work.
GenAI 的能力越来越强，但“有能力”不等于“现实结果已经形成”。缺少的条件，本身就是下一项可以被组织、形成和交付的工作。
WHY CAPABILITY STOPS BEFORE OUTCOME
The missing piece is often not another model.
Tools & resources
A camera may need a fixture; a design may need material; a workflow may need a deterministic local tool.
Authority
A capability can exist while permission to act remains absent or narrower than the proposed task.
Human supervision
Professional judgment, intervention, escalation and acceptance may require a real Human Supervisor.
Continuity
A useful result must survive model, person, device and location changes without losing the work identity.
Evidence & acceptance
The output must be observable, testable and accepted for the actual Reality—not merely plausible text.
THE HSIMC FORMATION LOOP
Missing conditions become addressable new work.
GenAI Capability
→
Addressable Task Role
→
Reality Outcome
If a required condition is missing, HSIMC can describe it as a bounded formation task: research, design, sourcing, manufacturing, local preparation, installation, verification, supervision, training or support.
ECONOMIC OPPORTUNITY
Every verified missing condition can reveal real demand.
This is different from a catalog that only matches existing products or workers. A Reality-to-Work system can identify demand before a complete solution already exists, then connect reusable capabilities and form the missing conditions needed for delivery.
HSIMC does not claim that every identified gap is commercially viable, authorized or solvable. The purpose is to make the gap explicit enough to verify, form, assign, accept or reject.