能力能否接入？Can a capability join?
开发者、智能体、设备或空间能力，需要有明确来源、边界和接入条件。Developer, agent, device or spatial capabilities need clear provenance, boundaries and integration conditions.
下一步，来自真实任务的结果。Real task outcomes guide the next step.
当前先验证：不同主体的能力能否在真实任务中被调用，结果能否确认，经验能否再次使用。稳定供给与持续协作的证据，决定何时扩展为更完整的能力网络与能力经济。The current work tests whether capabilities from different participants can be called in real tasks, whether outcomes can be confirmed and whether experience can be reused. Evidence of stable supply and sustained collaboration guides any move toward fuller capability networks and a capability economy.
以证据决定下一阶段Evidence decides the next stage
阶段条件示意Stage conditions
- 当前验证Current validation
可信协作Trusted collaboration
让真实任务可执行、可记录、可再次使用。Make real tasks executable, recordable and reusable.
- 扩展条件Conditions for expansion
证据持续成立Evidence holds over time
稳定供给、可靠调用、可复用反馈与持续参与。Stable supply, reliable calls, reusable feedback and continued participation.
- 长期方向Long-term direction
能力网络与能力经济Capability networks and economy
由真实运行证据决定机制与扩展范围。Real operating evidence guides mechanisms and scope.
阶段切换由证据决定Evidence determines the stage transition
先回答四个具体问题。Answer four practical questions first.
当前聚焦可信协作：能力带着来源、权限与调用条件进入任务，执行结果、贡献和纠正被记录，再验证反馈能否支持下一次使用。The current focus is trusted collaboration: capabilities join with provenance, permissions and calling conditions. Outcomes, contributions and corrections are recorded, then tested for reuse in the next task.
能否在任务中调用？Can it be called in a task?
检查能力能否在真实任务与现场条件下执行。Check whether the capability can execute in a real task under field conditions.
结果能否确认？Can the outcome be confirmed?
记录结果、贡献、失败位置和恢复过程，供人和后续任务核查。Record outcomes, contributions, failure locations and recovery for people and later tasks to check.
反馈能否再次使用？Can feedback be used again?
评估纠正是否改善能力版本，并验证改进后的能力能否回到任务。Assess whether corrections improve a capability version and whether the improved capability can return to a task.
准备扩展时，检查五项条件。Check five conditions before expanding.
任务数量之外，还需要供给、调用、改进、需求与持续参与的证据。条件未成立时，继续解决当前协作中的具体问题。Task volume alone is insufficient. Supply, calls, improvement, demand and sustained participation need evidence. Until then, continue addressing concrete collaboration problems.
供给能否持续Can supply continue?
能力能够被持续创建、维护和复用；同时检查创建与维护成本。Check whether capabilities can be created, maintained and reused over time, including the costs involved.
调用能否可靠完成Can calls finish reliably?
跨参与者的调用能稳定完成，失败能定位并恢复。Calls across participants need to finish reliably, with failures that can be located and recovered.
使用能否推动改进Can use drive improvement?
反馈进入版本评估，并验证改进后的能力是否更适合任务。Feedback needs to inform version evaluation and testing of whether the capability better fits the task.
是否出现更多场景需求Is demand emerging elsewhere?
能力开始在其他真实场景被发现和复用，才有网络层面的扩展依据。Discovery and reuse in other real scenarios provide a basis for expansion at network scale.
参与者能否持续维护Will participants keep maintaining it?
开发者与场景方愿意继续维护能力，并在新的任务中合作。Developers and scenario owners need to keep maintaining capabilities and collaborating on new tasks.
让不同参与者的能力，持续连接。Keep capabilities from different participants connected.
引态科技围绕真实协作建设基础设施。具体产品形态可以演进，开放协作与基于证据的阶段判断保持一致。INT builds infrastructure around real collaboration. Product forms may evolve while open collaboration and evidence-based stage decisions remain guiding choices.
建设协作基础设施Build collaboration infrastructure
让智能体、设备、服务与场景能够可靠协作，并留下可核实结果。Help agents, devices, services and scenarios collaborate reliably and leave verifiable outcomes.
从当前协作出发Start with current collaboration
先验证可信协作，再依据实际结果判断能力网络与能力经济的建设条件。Validate trusted collaboration first, then use actual outcomes to assess conditions for capability networks and a capability economy.
保留跨参与者连接Keep connections open across participants
能力应能跨参与者被发现、调用与验证；当前接入方式保留后续开放演进的空间。Capabilities should be discoverable, callable and verifiable across participants. Current integration approaches should allow future open development.
以证据确定未来机制Use evidence to shape future mechanisms
未来阶段的定价、分配、治理与网络方案，需在相应条件成立后确定。Pricing, distribution, governance and network mechanisms for future stages need the relevant conditions to be established first.
用今天的协作，检验明天的方向。Test future directions through today’s collaboration.
当前任务把设备、智能体与人的协作放到真实条件中验证。执行、反馈与再次使用的证据，为产品扩展和长期研究提供依据。Current tasks test coordination among devices, agents and people under real conditions. Evidence from execution, feedback and reuse informs product expansion and long-term research.