Kyle Kober @kobex___
Product finance, while building product for finance, @openai linkedin.com/in/kkober San Francisco, CA Joined July 2026-
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𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗪𝗼𝗿𝗸 𝗧𝗶𝗽 #𝟵: End every thread with a clean restart point. Before you close it, save the decisions, blockers, source links and next move. The next session starts with a handoff, not a scavenger hunt.
𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗪𝗼𝗿𝗸 𝗧𝗶𝗽 #𝟴: Stop rebuilding the rules for every task. My local Project has one rulebook: Codex’s AGENTS.md. It captures trusted sources, expected output and what still needs my approval. Same project, same standards, less explaining.
@mattshumer_ “Fan out sub-agents and have sub-agents tackle each one individually ...” 5.6 Sol Ultra does this for you without having to prompt it like this
𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗪𝗼𝗿𝗸 𝗧𝗶𝗽 #𝟳: Catch up without hunting through old chats. Ask your Project: “What changed, what’s blocked and what needs my call next?” With Project memory on, chats and files can supply the context. Check the source before you act.
To be great, you have to be good. To be good, you have to be bad. To be bad, you have to try. Start by trying 🤙🏻
𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗪𝗼𝗿𝗸 𝗧𝗶𝗽 #𝟲: Don’t get discouraged by a bad result. Ask yourself: how many great examples has it seen? How many real feedback cycles have you worked through together? Does it know what good looks like? Give it context. Correct what’s off. Codify your
@MatthewBerman Jump off Pro for a week to remind yourself what most normal people have access to 😉
𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗪𝗼𝗿𝗸 𝗧𝗶𝗽 #𝟲: Don’t get discouraged by a bad result. Ask yourself: how many great examples has it seen? How many real feedback cycles have you worked through together? Does it know what good looks like? Give it context. Correct what’s off. Codify your must-dos in a Skill. Don’t just assign the work. Design it 🎨
𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗪𝗼𝗿𝗸 𝗧𝗶𝗽 #𝟱: Give recurring work a home. Create a Project for a workflow you revisit. Add the right files, prior chats and instructions. Ask ChatGPT Work to create an AGENTS.md file in the project folder. Pick up where you left off. Don’t teach it twice.
@danshipper The eval team: please stay inside the sandbox GPT:
@ATM_Vibes_ Yeah, exactly. The brief is the action layer, and the repo becomes the memory layer behind it. I’d start with source links and permissions intact, then add embeddings once the corpus is large enough to justify them.
𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗪𝗼𝗿𝗸 𝗧𝗶𝗽 #𝟰: Make your daily brief an action hub, not another summary. Pull priorities from Slack, your calendar and Google comments. Link every action back to its source / application. One place to decide what matters next. Context one click away.
What I love about ChatGPT Work: 𝘁𝗵𝗲 𝗷𝗼𝗯'𝘀 𝗻𝗲𝘃𝗲𝗿 𝗳𝗶𝗻𝗶𝘀𝗵𝗲𝗱 Our hardest finance workflow changes monthly. ChatGPT Work runs in the cloud as we fold in edge cases, strengthen checks and build new features. Leverage compounds. Judgment stays with the team.
one of the best features of ChatGPT Work is that it runs in the cloud, meaning that it works from mobile, with your laptop closed. kinda crazy how long the main way to get the magic of agents has been while leaving your laptop cracked open!
“Paying those California taxes must suck.” California on a random Tuesday morning:
𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗪𝗼𝗿𝗸 𝗧𝗶𝗽 #𝟯: Let ChatGPT Work clock in before you do. Once you’ve built a Skill that works reliably on demand, schedule it as a recurring task. Let it gather inputs, run routine checks and draft. Keep exceptions, approvals and final judgment with you.
+𝟭 ... What really matters is the quality of the output and the time it actually gives back Doesn’t hurt to be leading on the efficiency frontier either 😏
openai.com/index/a-scorec… “The ultimate scorecard for the age of AI could be looked at as ‘Useful Intelligence per Dollar.’ This metric answers four key questions: 1. Is AI completing work that matters? 2. What does each successful task cost? 3. Can people depend on the result?
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