Part 7/10:
He points out that decision points or choices in workflows, even if numerous, do not solve the core problem—the need for truly dynamic, non-linear, adaptative processes that can design tasks on the fly or track and manage long-running tasks automatically. To him, **the future of AI-driven automation lies in systems that can dynamically compose, track, and execute tasks without manual scripting or predefined sequences.
The Need for a Full Cognitive Architecture
Beyond simple workflows, Dave envisions a cognitive architecture—a system that integrates triggers, parallelism, data collection, and comprehensive task management. The ideal solution, in his view, should:
- Support event-driven triggers (webhooks, timers, external signals)