← All IntelClip / AI ToolsThe bottleneck is reuse, not context
From Turn 10,994 Notes Into Memory - Paul Iusztin, Decoding AI & Louis-François Bouchard, Towards AI · ≈7:57
Names the actual failure mode of agentic research workflows — everything the agent builds up in a session is destroyed when the session ends.
What’s in it
- Names the actual failure mode of agentic research workflows — everything the agent builds up in a session is destroyed when the session ends.
Clip transcript
and how. But, the downside is that it definitely needs a bit more setup than just opening Cloud Code. Right now, the main problem with using Cloud Code and other agentic tool is that you give Codex links, PDFs, and different information, for example, my most recent Loop Engineering video, and then the next session you use Codex, you have to paste it all again or ask it to use skills. And whatever structure that Codex or ChatGPT, whatever tool that you use, build on the fly to leverage what you did, the scripts it ran, the scripts it had, you all lost it or kept it inside a skill that you have to ask it to reuse, and that usually isn't ideal and just grows and grows over time. And the problem is that all this information that you give to the model is not the bottleneck. The bottleneck is how can you leverage it in the future? Meaning that with an agent, the context window becomes everything, the database, the file system, the memory, the reasoning space. It has to do it all, and when you stop the conversation, it loses everything. And the thing is that
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