
Sully
@SullyOmarr • 58,179 subscribers
prev ottogrid (acq cohere)
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Cursor + gpt4-32k = illegal levels of productivity Best coding copilot by far Made the switch and i'm likely never going to use ChatGPT or vscode again Crazy how big of a difference small ux changes can make (in line code editing, no copy pasting, i can reference files)
Sully725,111 просмотров • 2 лет назад

after using replit's coding agent i think...its over for a lot of traditional saas wanted slack notifications when customers subscribed/cancelled Zapier was 30/mo JUST to add a price filter instead replit's agent built & deployed one in < 5 mins, with tests. 1/10 of the cost
Sully364,631 просмотров • 1 год назад

o1-pro is probably the best model i've used for coding, hands down i gave it a pretty complicated codebase and asked it to refactor while referencing docs the difference between claude/gemini/o1 and o1 pro is night and day. first time in a while i've been this impressed. full comparison in the video + code.
Sully255,348 просмотров • 1 год назад

Anthropic literally killed every "chatPDF" wrapper with Claude2 - you can upload files now I tried Tesla's latest q1 update, and asked "What are the key takeaways from this q1 update? Can you make any forecasts for the price?" It was able to answer it flawlessly, with sources
Sully364,283 просмотров • 2 лет назад

made a video covering my ai coding workflow + tools, built a dashboard < 5 mins ridiculous how easy it is to go from idea to product now half my day is just conducting ai (cursor, claude v0) to build things for me 0:00 - 1:48 tools overview 1:50 - 3:43 initial setup 3:45 - 6:00 cursor magic w/ composer
Sully238,996 просмотров • 1 год назад

The #1 use case of web browsing agents isn't ordering food/booking flights it's using other agentic platforms. instead of human in the loop you have *another* agent in the loop. this creates a semi autonomous agent. this is probably how we get to agi: - vertically agents (doing one thing really well) - glued together by everything api (web browser) most llm providers will probably vertically integrate. i.e good chance we'll see "operating agents" running thousands of chatgpt/claudes instances on your behalf. ex: just watched operator using an ai spreadsheet (Otto ) to research, store and then use the data for creating a powerpoint. the only thing it needs to worry about is the high level goal and moving things around.
Sully77,762 просмотров • 1 год назад

A customer was spending $20k/mo on manual receipt entry: - 5k+ man-hours/week - 3k invoices a day, team drowning in paperwork ~100 daily hours to process it all Built them a way to automate this Otto in 5 mins. It now: - processes ~2k receipts in 1 hr (10x faster) - automatically categorizes and labels it - extracts the name, items, date, nicely structured for their internal system
Sully90,433 просмотров • 1 год назад

Wow. This takes "chatPDF" to an entirely new level. Don't think this is possible with regular rag either I gave 4 highly tabular pdfs to gemini 1.5 (tesla financials) it understood the entire context, summed all the tabular values and gave me a nearly perfect response.
Sully85,574 просмотров • 2 лет назад
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