The AI labs spent this week racing to make their models cheaper and faster, which is great, except cheap and fast is not the thing actually slowing you down.
Two of the biggest labs made the same move within 24 hours, from opposite directions. On August 13, Google launched Gemini 3.7 Flash with a 50% introductory price cut, dropping it to 75 cents per million input tokens through the end of 2026 and pitching it as its "most intelligent workhorse model yet for coding and agents." The same day, OpenAI previewed Ultrafast, a mode that runs GPT-5.6 Sol up to 14 times faster, around 750 tokens per second, on Cerebras chips. Cheaper tokens from Google, faster tokens from OpenAI, on the same afternoon.
Here is my take, and it is not about the price sheet. For an office professional, neither cost nor speed is your real bottleneck. You are not stuck because your AI charges too much or answers too slowly. You are stuck because you still have to lift its answer out of a chat window and turn it into the actual thing: the spreadsheet, the deck, the report your boss asked for. A few weeks back I argued that the AI tools worth your attention are the ones that hand you a finished file, not the next clever paragraph. This week makes the point with a bigger number attached: the models themselves are becoming a commodity, so judge them by what they hand back, not how fast they talk. And if you want one upgrade you can grab today for nothing, OpenAI just made GPT-5.6 Luna the default for free ChatGPT users with unlimited text chats and a Think button, so the free tier is genuinely better this week than it was last week.
What it does: Sourcetable is an AI spreadsheet that works like a data analyst you can boss around in plain English. Upload a messy CSV or Excel file, or just describe the sheet you need, and it writes the formulas, builds the pivot tables, cleans the data, and draws the charts, then hands you back a finished, formatted spreadsheet.
Why it matters this week: This is exactly the "output over speed" point from the Big Story, made concrete. Instead of pasting a formula ChatGPT suggested and hoping it fits your columns, you give Sourcetable the raw data and it does the analysis and hands you the file. It runs the top 2026 models under the hood and now acts as an autonomous analyst that can plan and carry out multi-step work inside the sheet. It is the AI spreadsheet most office pros have not tried yet, and the free plan does the one thing that matters: you put in a pile of raw data and walk out with a real, downloadable spreadsheet and charts you can drop into a report or email, on a free plan with no credit card.
How to use it:
Pricing: Free ($0, no credit card) gives you 50 AI credits a month, and the core spreadsheet is free to use like Google Sheets. Pro is $29 per user a month (2,000 credits) and Max is $100 per user a month (6,000 credits), with extra credits available if you run out.
Link: sourcetable.com
The Finished-File Rule: ask AI for the file, not the explanation
Here is the smallest way to put this week's lesson to work. Next time you reach for AI on a real task, notice whether you are asking it to explain something or to produce something. "How do I calculate churn in this sheet?" leaves you with homework. "Here is my data, build me a churn table with a chart" leaves you with a file. So change the ask: pick the tool that exports the actual artifact you need (a spreadsheet, a deck, a document), hand it your raw material instead of a vague request, and name the exact output you want, down to the format. Then edit the file it gives you rather than re-prompting the chat. You will spend your time polishing a finished thing instead of translating advice into work, which is the whole point of having AI do it in the first place.
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