@Vtrivedy10: "Mental Model: An all-knowing AGI Agent is really a perfect, just-in-time workflow generator & executor." was messing a…
Summary
A tweet discusses a mental model where an AGI agent functions as a just-in-time workflow generator and executor, noting that Anthropic's Dynamic Workflows are an early implementation of this concept.
View Cached Full Text
Cached at: 06/03/26, 07:54 PM
“Mental Model: An all-knowing AGI Agent is really a perfect, just-in-time workflow generator & executor.”
was messing around with this idea late last year and Anthropic’s Dynamic Workflows “feel” like the first implementation of the mental model where the models are intelligent enough to take advantage of this problem decomposition strategy (maybe possible since January)
dynamic workflows
- just-in-time decompose complex problems into workflow primitives via code gen
- assign large amounts of compute to solve sub-problems
- BUT adaptively alter the execution plan for the workflow based on learnings from sub-executions
imo AGI is just doing this flow perfectly including any exploration and verification steps. Generating & execute the right workflow for any input task, across any time horizon
design primitives like dynamic workflows & /goal feel like exciting sparks of the generalizable problem solving machine where the UX maps onto how humans want to interact with AI
even if the exact implementation today may not be “the one” and may even often look like slop…
the trajectory feels correct
Similar Articles
Mental models that made tool-using agents less chaotic for me
A personal reflection on mental models that help make tool-using AI agents less chaotic and more manageable.
After using AI agents for a few months, these are my biggest observations
A personal reflection on the transformative potential of AI agents with persistent memory, arguing that context and workflow organization will become more important than the models themselves.
@Aurimas_Gr: You must know these 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗦𝘆𝘀𝘁𝗲𝗺 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 as an 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿. If you a…
The article describes five key workflow patterns for building agentic AI systems in enterprise settings, as summarized by Anthropic: prompt chaining, routing, parallelization, orchestrator, and evaluator-optimizer, with tips to prefer simpler workflows before using full agents.
Keeping up with Agentic AI
A practitioner expresses frustration with the fast-paced hype in agentic AI and seeks advice on how to keep up without burnout, asking for reliable resources and mental models.
@dair_ai: NEW paper worth reading. A full agentic workflow can be distilled into model weights and run at roughly 100x lower infe…
This paper demonstrates that agentic workflows can be distilled into small fine-tuned models, achieving near-frontier quality while reducing inference cost by two orders of magnitude compared to orchestration approaches.