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How People Are Using AI For Visualizing data

In 2025, people ask AI to turn raw inputs into tables, charts, and dashboards—researchers use Claude Code from a terminal, teams refresh recurring cost/performance charts with agents, and creators generate visitor analytics dashboards with Replit agents from a one-shot prompt. Professionals request graphs from signup timestamps, build content tables with links, auto-generate slide decks with charts from financial filings, and scientists visualize molecules via RDKit inside chat; Gemini 2.5 compiles tables and scenarios, and report tools save outputs directly to dashboards.

🤖 ai summary based on 17 tweets

Stories from AI users. WhatsNextForAI curates public sources. No product affiliations. Opinions are the authors.

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I am finding ChatGPT agents to be useful. They are a better fit with the "intern" analogy than any former AI - requiring oversight, still saving lots of time overall. For example, I update an AI cost/performance chart frequently. The agent did all the grunt work, with guidance. https://t.co/AGs7DRNxSh

ChatGPT agent: "create a PDF of a novel D&D adventure, add illustrations, make it super interesting and deep, add tables, etc" "Fix the formatting, build it out more" Got a 19 page PDF. Agent doesn't do layouts well, but pulls off building a coherent adventure, hard for LLMs. https://t.co/OYEo3L1hgP

Interesting way I've been using Claude + journaling for those curious: Back in January I gave Claude 200,000 tokens, it was my last 6-months of journal entires. From there, I told it to predict my future. Given my previous 6-months, I told it to plot my best timeline + my darkest timeline along with the events that'd lead me there (like a movie). For each plot point, it also ranked my happiness out of 10. The dark timeline was extremely scary. (I had just got back to SF after a hiatus, and it talked about how my old-self would resurface, comparison traps, etc). The positive timeline was of course, preferred. What's really cool is when I did this back in January I became 1000X more aware of how I could potentially dig myself into a mental hole over the following 6-mo. Just by being aware of it, I was able to kinda steer myself way away from that bad timeline/mental traps. Kinda spooked me into being more aware of my flaws. In life its hard to understand how our mental states + events today (ex. collapse of a company, a breakup, a new job, etc) will chain together and affect us down the line. Kinda beautiful how these models can help us literally see/visualize potential futures and learn from them. Will def be doing this every 6-months for myself!! P.S: 6-mo later -- I def feel like I am living the best timeline it predicted :). shoutout claude. P.S.S: someone should build this into the best journaling app in the world. power of ai isnt "chat with my diary" I think its stuff like this.

Karpathy today said Cursor for Slides needs to exist.. but it already does. When asked to "Create a detailed data-driven slide deck based on Google's recent financial filings", It created a stunning 6 page deck with graphs, diagrams IN Google theme! It's called Genspark. https://t.co/Wy0DKVvFzK

Claude-4 is crushing data analysis and data enrichment for my team. Example use case: my team is running a webinar. Within a few hours of launch, we had thousands of signups. I grabbed only the timestamps of signups. Threw them into ChatGPT and Claude asking for a graph of signups per hour, benchmarks, insights, action plan. ChatGPT (specifically o4-mini-high) created errors and blamed them on me. Claude 4 handled it beautifully, first attempt. One of the biggest improvements in these models is going from 3-4 asks in conversation to 1 ask. And when things can be nailed in the first attempt, fully autonomous systems start looking more and more likely in 2026.

"o3, look up these books and give me a table of Amazon reviews, a one-sentence witty summary of the plot (no spoilers) & a link to where to buy them from an indie bookstore" Yes, the links all work. But impressive stuff you might miss is that it figured out half-obscured covers. https://t.co/9cLe6XdFkW

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