Chencheng Li

E-commerce founder | $500K+ ARR across US+EU | Building AI agent workflows | UCSD CS

[Chencheng Li @GradonLi]

@thsottiaux @OpenAI with voice mode

[Chencheng Li @GradonLi]

The 5h limit of codex must be something wrong. I used GPT-5.6 Luna Light 2x, and the quota was exhausted within 5 minutes it is too absurd @thsottiaux @OpenAI

[Chencheng Li @GradonLi]

@HamptonPhillip you would love him @bryan_johnson

[Chencheng Li @GradonLi]

We achieved

[Chencheng Li @GradonLi]

@ns123abc At least Google isn't lying to itself, which is a good thing.

[Aaron Levie @levie]

The more enterprises I talk to about AI agent transformation, the more it’s clear that there is going to be a new type of role in most enterprises going forward. The job is to be the agent deployer and manager in teams. Here’s the rough JD:

This person will need to figure out what are the highest leverage set of workflows on a team are (either existing or new ones) where agents can actually drive significantly more value for the team and company.

In general, it’s going to be in areas where if you threw compute (in the form of agents) at a task you could either execute it 100X faster or do it 100X more times than before. Examples would be processing orders of magnitude more leads to hand them off to reps with extra customer signal, automating a contracting review and intake process, streamlining a client onboarding process to reduce as many straps as possible, setting up knowledge bases than the whole company taps into, and so on.

This person’s job is to figure out what the future state workflow needs to look like to drive this new form of automation, and how to connect up the various existing or new systems in such a way that this can be fulfilled. The gnarly part of the work is mapping structured and unstructured data flows, figuring out the ideal workflow, getting the agent the context it needs to do the work properly, figuring out where the human interfaces with the agent and at what steps, manages evals and reviews after any major model or data change, and runs and manages the agents on an ongoing basis tracking KPIs, and so on.

The person must be good at mapping the process and understanding where the value could be unlocked and be relatively technical, and has full autonomy to connect up business systems and drive automation. This means they’re comfortable with skills, MCP, CLIs, and so on, and the company believes it’s safe for them to do so. But also great operationally and at business.

It may be an existing person repositioned, or a totally net new person in the company. There will likely need to be one or more of these people on every team, so it’s not a centralized role per se. It may rile up into IT or an AI team, or live in the function and just have checkpoints with a central function.

This would also be a fantastic job for next gen hires who are leaning into AI, and are technical, to be able to go into. And for anyone concerned about engineers in the future, this will be an obvious area for these skills as well.

[E-go @EgoDriv]

If you’re a hyperactive, high agency type of guy, the only path where you don’t go insane is entrepreneurship. It’s the only life that will stimulate you enough and put you in different situations and problems that actually make your brain function. The more you try to tame that energy the less you will feel alive. Some of us were made for complexity and ambiguity. The safe path is the most dangerous one. You know deep down you’re made for something different. Business is what gives you that. Avoid traditional jobs at all costs. Of course the price is high stress, uncertainty and lots of ups and downs… but let’s be honest, would you have it any other way? No. It’s too boring.

[Chencheng Li @GradonLi]

Actually, you can let the agent create a heartbeat in the Codex app already, even if it isn't showing on the GUI ��� @chetaslua @OpenAI @testingcatalog @LLMJunky

[Chencheng Li @GradonLi]

@HamptonPhillip I did... I tried Playwright, browser use, agent browser, dev-browser, and others... somehow Amazon Seller Central is the most agent-unfriendly site...🥲

[Chencheng Li @GradonLi]

What’s the best browser automation for GPT 5.4?

[Chencheng Li @GradonLi]

@JasonBotterill please don't

[Chencheng Li @GradonLi]

Is the "work with app" feature in @ChatGPTapp disabled? I often use it to view the terminal, but today I found it's gone @OpenAI

[Chencheng Li @GradonLi]

@lennysan @cursor_ai @GoogleAI @NotionHQ @supabase @v0 @gumloop @Fin_ai this is insame....

[Chencheng Li @GradonLi]

@openclaw Can we standardize the wiki into a unified framework similar to AGENT.md? @steipete @karpathy

[Chencheng Li @GradonLi]

@HamptonPhillip LMAO

[Chencheng Li @GradonLi]

I think today’s "exhaustion" is just a temporary bottleneck, not a permanent one.

History shows that every "limit" of agents eventually gets solved through iteration. As compute scales, our tolerance for trial-and-error increases, which naturally lowers the management burden. Once we have stable multi-layered agent architectures and better observability, error rates will drop to a negligible level.

[Chencheng Li @GradonLi]

@arcee_ai @kilocode @openclaw @pinchbench could you explain how to use it for free? I called it from openclaw by openrouter/arcee-ai/trinity-large-thinking

and it cost me tho

[Chencheng Li @GradonLi]

@Trae_ai I want to automate my personal reading workflow with SOLO — reading academic papers, writing summaries, connecting various viewpoints in notes, and converting them into structured documents. I'm really tired of manually linking between different tools plzz

[Chencheng Li @GradonLi]

@capydotai opened!