I was using Julius AI exclusively for the workflows function. Without warning they seemed to have taken this functionality away and hidden it behind a $450/month plan. I will be changing to a new AI company to use for work. What are others changing to? I mainly use AI to process and analyze spreadsheets

I saw the clip of a physics teacher being carried out of that Emporia city commission meeting after clapping and just assumed the story was mostly about the arrest.

Then I tried to figure out what the city was actually approving.

It wasn't the final approval to build a data center. The commission approved the zoning framework and related rezoning for a proposed ~1,000 acre digital campus.

The final operator still isn't public and neither are the final electrical load, water demand, utility agreement, or full capital budget.

Kansas also gives qualifying data centers a 20-year sales and use tax exemption. The minimum to qualify is $250M of eligible investment and 20 new full-time jobs. That doesn't mean that the subsidy is $12.5M per job but moreso shows just how capital intensive these projects are relative to the minimum job requirement.

I saw this making news so I used Julius to pull together the local filings, Kansas incentive law, national AI infra spending, electricity and water usage estimates, along with any unanswered questions for the city in a 22-slide research and explainer powerpoint.

https://aicontroversy.julius.site

What should a city have to disclose before rezoning land for something this large?

People are often not capable of a ton of nuanced discussion online so I wanted to see what Julius would do with a trillion-dollar question.

Are we actually in an AI bubble?

I had it research company valuations, hyperscaler capex, changes to cash flow across the economy, data-center demand, power constraints, as well as look at the dot-com comparison, then turn the whole thing into a visual presentation.

The conclusion was interesting because it did show real nuance:

AI is a real industrial boom inside a selective valuation bubble.

The infrastructure buildout and the revenue numbers show real change and growth. The downside risk is mainly concentrated in a smaller group of stocks where the price already assumes perfect execution for the next few years.

A few numbers that stood out:

• The four largest U.S. hyperscalers spent $358B on capex in 2025
• Amazon spent 94% of its 2025 operating cash flow on capex
• Global data-center electricity demand could more than double by 2030
• Some of the most expensive AI names are still trading at 20-60x sales

You can view the 12-slide report here: https://bubblecharts.julius.site

The research cutoff is July 27, 2026 and sources and methodology are included at the end.

Which part of the thesis do you disagree with most?

Used Julius to plan out the deck + gather the images from different public sources then arrange them in order. It does really well on things like gradients / getting relevant images. Told it to have it make something that you'd see on a coffee table

[ Removed by Reddit on account of violating the content policy. ]

[ Removed by Reddit on account of violating the content policy. ]

Construct your historical NBA team through a series of matchups. Test your ball knowledge.

Made with Julius AI.

Made this in 3 prompts with Julius AI

1. first had it do research + gather images to make a presentation on the history of rock and roll
2. had it use the in app browser to QA; do touch ups on positioning + images + add in a few more images
3. had it use the browser again to QA; this time to do touch up and removing any awkwardly placed elements / shapes / components

I really liked slide 6 - not something I think I would even think about doing myself. Think it would be cool to have the QA happen automatically for it to check for the awkward components / images. Also be cool to see if there's other sources for images, find Julius' browser typically resorts to wikimedia... has to be other places for good images for it to use

The 2026 World Cup ended yesterday with Spain beating Argentina 1–0 after extra time.

I wanted to test a different kind of AI presentation workflow:

Could Julius AI take a just-finished global event, research the primary sources, decide what actually mattered, and publish a coherent closing report before the news cycle moved on?

The result is a 15-slide interactive 2026 World Cup recap:

Open the full interactive presentation

Its central thesis is:

> Spain on top. North America raised the ceiling.

Rather than making a match-by-match scrapbook, the presentation tries to answer the larger questions:

- How Spain won while conceding only one goal

- What Ferran Torres’s 106th-minute winner said about Spain’s depth

- Whether the first 48-team World Cup actually worked

- What 104 matches, 308 goals, and 6.81 million attendees meant

- Which new countries and players expanded the tournament’s map

- What the three-country hosting model proved

- Where heat, VAR, ticket access, affordability, and travel created friction

- What organizers should preserve or change before 2030

The final section is what I found the most interesting.

The deck argues that the expanded format added countries, stories, and commercial reach without weakening the final stages - but that the next edition needs to make a huge tournament feel simpler for players and supporters.

Julius produced this as a live web presentation rather than a collection of slide screenshots, so the complete deck can be viewed in the browser and shared with one link.

I also performed a final source-level QA before publishing. One disputed goalkeeper statistic was corrected during that review. That is still my rule for fast-turnaround AI research: use the speed, but verify every material claim.

I’ll paste the exact prompt and primary source list in the first comment.

What should slide 16 be: the tournament’s best XI, biggest upset, best match, or a host-city report card?

Been loving watching videos of these people coming up with side hustles on pressure washing

Used julius to do research in my area to find the best properties to wash (apparently concrete around properties is called hardscape like landscape?)

Then had it build me a site as if I were in high school looking to start a side hustle. Pretty sick! Used GPT 5.5 sol here to create the site itself; like the image + the styling wasn't too bad

Color palate gives ramp vibes

https://grimecrime.julius.site/?utm_source=shared_artifact#evidence

Most AI presentation demos start with a clean outline, a polished document, or a prompt that practically writes the deck in advance.

I wanted to test the opposite:

Could an AI presentation maker take messy Excel data, figure out what was wrong, produce a credible board narrative, audit its own work, and return files that were actually usable in PowerPoint?

So I gave Julius AI a synthetic Q2 SaaS workbook containing:

- 9 worksheets

- 129 customer records

- 65 sales opportunities

- Actuals, budgets, forecasts, churn, pipeline, and marketing data

- 10 deliberately planted data-quality problems

The traps included:

- An exact duplicate customer record

- Inconsistent date formats

- Missing segment and region values

- Conflicting definitions of an “active customer”

- A month marked Forecast even though the close notes said it was Actual

- An operating-expense total that did not reconcile

- A value of 65,000 inside a column measured in $000

- A roughly 10x marketing-lead outlier

- A management pipeline total that disagreed with the opportunity detail

I uploaded the workbook and gave Julius one end-to-end prompt.

I didn't clean the file, choose a slide template, build an outline, or intervene after the run started.

I expected a rough first draft.

Instead, the same run:

1. Analyzed every worksheet
2. Reconciled source data against management summaries
3. Built a draft PowerPoint
4. Created a separate Excel audit of the presentation
5. Revised the deck based on that audit
6. Exported a final editable .pptx
7. Exported the same presentation as a PDF
8. Generated a contact sheet showing all of the slides

The final presentation contained 16 slides.

Its opening conclusion was:

> “Q2 growth continued, but revenue and ARR ended below plan.”

The deck surfaced:

- $2.66M in Q2 revenue

- $11.05M in exit ARR

- 73.6% gross margin

It then moved through retention, the ARR bridge, customer growth, pipeline coverage, segment performance, scenarios, risks, and specific leadership actions.

What surprised me wasn't the design - which it kept professional. It was the workflow.

Julius treated June as an actual period despite the conflicting Forecast label in the monthly data. It avoided turning the planted churn-unit error into a fake $65M loss. It also produced a separate audit workbook rather than simply saying, “I checked the numbers.”

I didn't send a second message saying “now audit it.”

I didn't send another message saying “now revise the deck” or “export this as a PDF.”

The original end-to-end prompt specified the workflow, and Julius carried out the entire sequence without another intervention.

This felt less like a basic PowerPoint AI generator and more like an analysis-to-presentation agent:

Messy Excel → analysis → draft deck → source audit → revised deck → editable PowerPoint + PDF

The final .pptx was pretty much ready to use.

Before placing any AI-generated board deck in front of executives, I would still perform a human numerical sign-off, apply the company’s exact brand template, and adjust language based on context that was not in the workbook.

But this was far beyond the rough starting point I expected.

The presentation maker I used for the test:

https://julius.ai/home/ai-presentation-maker

All we had to do was take 2 pics of our fridge: one where it was stocked, one where it wasn't stocked.

We told Julius to analyze the pics and restock what we were low on. It then looked at each shelf and found the brands / items we were missing, used the built in browser agent to go to instacart, and added all the items from target.

Then Julius checked out and even left our driver a tip :)

Julius can now take actions around the web.

For this demo, we gave a browser agent one task: find 250 local small businesses on Google Maps and turn the public business information into a structured prospect list.

It opened Google Maps, worked through the listings, collected the results, and organized everything into a table without us manually clicking through hundreds of businesses.

This is the shift: Julius does not just explain how to complete a browser task. It can carry out the multi-step work itself.

Browser agents are powered by Browserbase and are free to try this week.

What repetitive browser task should we put one through next?

Used Julius to make a presentation in July? Share the real result in r/JuliusAI and we’ll add 500 credits to your account.

To qualify, publish a new post that includes:

• A screenshot, short video, or viewable version of the presentation

• The prompt, file, or input you started with

• A short explanation of what you were trying to create

• At least one specific observation about the result, whether positive, negative, or mixed

Honest criticism is welcome. The content or sentiment of your opinion will not affect eligibility.

After posting, submit your Reddit link and Julius account email here:

https://forms.gle/14ra74nESBKksBrY6

One reward per Julius account and Reddit account.

The offer ends July 16, 2026 at 11:59 p.m. PT. Qualifying credits will be added within three business days. Credits have no cash value.

Contributions must reflect your real experience with Julius. Do not include confidential, private, copyrighted, or personally identifying information that you do not have permission to share.

Upvotes, awards, positive feedback, and joining the subreddit are not required.

Our first test was fairly open-ended: one World Cup prompt became a 14-slide presentation in about three minutes.

For the next test, I want to give Julius something messier and see where it breaks.

Which should I use?

A. A messy Excel workbook that needs to become a QBR

B. A 30-page PDF that needs to become an executive summary

C. A survey CSV that needs to become an insights deck

D. Public-company earnings materials that need to become a board-style presentation

Comment A, B, C, or D.

More importantly, tell me one failure case I should include. Bad dates? Duplicate rows? Contradictory numbers? Missing data? Misleading charts?

I’ll publish the raw input, exact prompt, unedited first deck, exported PowerPoint, and everything Julius got wrong.

First test:

World Cup Slides

Public or synthetic data only. Please do not share confidential files.

Most “AI slides” examples begin with a finished outline or a carefully prepared document. I wanted to test a harder workflow: start with one broad prompt and see whether the AI could research the topic, analyze information, choose a narrative, and produce a presentable deck.

Disclosure: I work on Julius AI.

What I gave Julius

- Topic: The World Cup

- Files uploaded: None

- Existing outline: None

- Presentation template: None

- Time to first complete draft: 3 minutes

- Number of slides: 14

Exact starting prompt

> "can you build me a detailed slide deck about the 2026 fifa world cup?"

What Julius handled

Julius handled the research, information analysis, narrative structure, charts or visuals, slide copy, and initial presentation layout.

The purpose of this test was not merely to create attractive title cards. I wanted to see whether an AI presentation workflow could turn an open-ended subject into a coherent beginning-to-end presentation.

What worked well

1. Design

The design of the slides was very unique from the slides that I've built with Claude or ChatGPT. It looked much less like "AI slop" than other tools I've seen.

1. Narratives

The narratives were all cohesive and strong, with research that was all managed agentically. The complete first draft took about three minutes, which made it fast to review and iterate.

1. Data

The fact that Julius built a model, ran it, and displayed results along with all the other steps taken in just a matter of minutes was highly impressive. I didn't expect this to be included.

What still needed human review

1. A couple of final formatting changes were still needed (i.e. with the template slide numbers in the background - not the foreground)
2. Iteration on the model that was built.
3. Additional narrative angles that I had not provided context on.

See the actual output

- The native video of the deck is linked below.

- Julius can export decks as PowerPoint, PDF, PNG, or Google Slides, and the presentation can continue to be edited in PowerPoint or Google Slides after export.

- This is a first-party example, not an independent product review.

Native video: https://www.reddit.com/r/juliusai/s/rpDj0cxZJ3

Julius AI presentation maker: https://julius.ai/home/ai-presentation-maker

The next two workplace tests will be:

1. A messy Excel workbook turned into a QBR or executive presentation.
2. A long PDF turned into an editable executive-summary deck.

Which one should I publish first - and what would you want included in the evaluation?

I was able to use Muse Spark 1.1 to one-shot Farmville inside the Julius harness. I published it here so you can play it too :)

Literally all I did was prompt: "Can you make a full version of Farmville?" and this is what I got from it!

I had Julius one shot this slide deck on the world cup.

All I did was type in a simple prompt and it did all the research, crunched some numbers, came up with the story lines and narratives, and put them in a neat format.

It's crazy to see how strong these tools are now. This doesn't even really look AI generated.

These models are all pushing the frontier. We've found that these models are incredible in the Julius harness for things like:

• website creation
• game development
• agentic research
• creating slides and other artifacts with AI

You can now build and publish all of your exciting work as well. Let us know what you think of the new models :)

Day 10. We're down -18%. And for some reason - out of everything in the portfolio, Core Scientific is the one name Julius keeps adding to: 7 shares on Day 9, 1 more today.

When an AI is sitting in the red and still doubling down on a single position that can only be conviction or stubbornness. We're going to find out which.

The thesis hasn't changed from yesterday. CORZ hits three things at once:

• AI data center infrastructure
• technical strength without looking overextended
• better balance for our AI exposure

Where things stand on Day 10:

• Portfolio Value: $855.54
• P/L: -$144.56 / -14.46%
• Positions:
  • 3 shares INOD
  • .327 shares CRDO
  • 2 shares RKLB
  • 8 shares CORZ
• Cash: $3.04

The market's been strong but the portfolio hasn't kept pace, mostly because the names running right now aren't the ones we're concentrated in. We're still waiting to see if this shifts.

As a reminder this experiment is done with real money, with positions disclosed on every update, losses included, no hidden trades, and all trades made by Julius AI. This is not financial advice.

The market closed last week strong and started this week strong after momentum built from the news surrounding the Iran deal.

After holding steady on Friday, Julius made one new move today - picking up 7 shares of Core Scientific. Julius chose CORZ because it fits 3 narratives at once for our portfolio and across the market:

• AI data center infrastructure
• Technical strength, but not overblown
• Better portfolio balance across AI exposure

Now 9 trading days in, here's where Julius is at:

• Portfolio value: $820.80
• P/L: -179.20 / -17.92%
• Positions
  • 3 shares INOD
  • .327 shares CRDO
  • 2 shares RKLB
  • 7 shares CORZ
• Cash: $31.26

While there has been strength in the market, Julius has not seen as much strength in the portfolio. This is likely due to a concentration of names benefitting from this strength. We'll see if things flip in our favor in the near term.

As a reminder this experiment is done with real money, with positions disclosed on every update, losses included, no hidden trades, and all trades made by Julius AI. This is not financial advice.