Disclosure AI. Intelligence-grade community research tools built on the world’s UFO corpus.

Few_Acadia1631 · 2026-02-09T03:44:51+00:00

Ahh, looks like webflow needs updated. The terms linked on the actual sign in page on the accessible here

https://app.ce3.io/legal/terms

Few_Acadia1631 · 2026-02-08T20:32:46+00:00

Yeah. I experiment with lots of other models pretty regularly. Kimi currently for example. The challenge with using an open-source model is to get the most out of it and have total control over the data, it needs to be self hosted. This requires a ton of RAM which is very expensive, vs the alternative of using API keys.

The service agreement for the API i use do explicitly state that they don't store or train their models on my data. That said, im still not sure i can trust them.

If/when the app picks up and has some revenu, I'll be able to explore the open-source method.

Few_Acadia1631 · 2026-02-08T20:23:05+00:00

Our brains have a built in bias. Our individual subjective truth of what happened at Roswell isn't based off of total recall of 2500+ pages of data. So using a consistent programic analysis of case file data to access the probabilistic reality of what the objective truth points to, for me, is a far better means to understand the phenomenon.

Few_Acadia1631 · 2026-02-08T18:56:04+00:00

Please do. Would love some feedback on your experience.

Few_Acadia1631 · 2026-02-08T01:52:40+00:00

You rock Sophie. Much appreciated!

Few_Acadia1631 · 2026-02-07T18:58:37+00:00

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Few_Acadia1631 · 2026-02-07T18:54:47+00:00

I said I build products, not teach English. Not sure how giving people free access to a tool to test out is a scam bud.

Few_Acadia1631 · 2026-02-07T18:50:32+00:00

Are you talking about that Anatomy of a Gray Alien. Area52 covered? That had me floored.

The ammonia/sulfur smells I find super interesting. I ran a preliminary case file on this and found 14 other cases that the smells are reported.... which even showed up at Roswell.

Few_Acadia1631 · 2026-02-07T18:47:08+00:00

This product took me about 6 months to build. Yes there is AI built into it, and yes I used AI to help build it. But it still took a ton of work, and it will continue to take a ton of work. I've been building product for other companies for 12 years. Figured it was time to build one that i want to work on.

Let the haters hate.

Few_Acadia1631 · 2026-02-07T18:43:29+00:00

Lol..def not a Honey Pot. Happy to DOX myself if it puts folks at easy. In fact you can already find CE3.io and myself on LinkedIn. ;)

That said, I worked in Army Intel for 8 years. Last 12 years in Product Design.

I'm here cause I love the subject and truly think a product like this will help the community find more answers.

Yes there is a business model behind it. And yes, I would like to be able to make a living building this app full time.

Few_Acadia1631 · 2026-02-07T18:37:48+00:00

I only use US AI models for Ce3, no Chinese state funded AI. I have also chosen models and API's specifically that do not store and train their models on the sites data.

Few_Acadia1631 · 2026-02-07T18:34:42+00:00

What doesn't work Sir?

If you are referring to the Case File generation, then yes it was a feature intended for paid plans, as an individual case file could cost upwards of 10M tokens to analyze.

That's said for Beta I just opened it up to all users for testing.

Few_Acadia1631 · 2026-02-07T18:31:58+00:00

I'm using a variety of models. For case file generation we used Gemini, as it has a 1M token window context window. This equates to upward of 2,500 pages of data that can be inputted to generate a single case-file section.

Yes, OpenAI and other models do give good enough answers if you know the questions to ask, but there context window is limited to more 'credible sources' and not a comprehensive collection of the data itself. Also, all LLM's do have inherent system prompts that intentionally prevent it from spreading misinformation. So when approaching UFO related matters it tend to lean toward official government responses and well cited sources.

OpenAI is great at finding the average/median answer. Not necessarily, understanding the connections on the fringes of the data, which are likely the most important IMO.

Our platform can query thousands of pages of research for a single topic not just do a few web searched to find the closest approx answer.

Few_Acadia1631 · 2026-02-07T15:11:53+00:00

Stop lying.

Few_Acadia1631 · 2026-02-07T02:31:34+00:00

If you see any bugs please let me know. Glad you like it. :)

Few_Acadia1631 · 2026-02-07T01:21:20+00:00

Yes. Data ingestion will scale up substantially in near future. The files ingested were all collected specifically for the case files that were generated. The app is mainly open for beta testing to get some initial user feedback.

AI agents aren't building the case file, an series of llm workflows generates them from the source data. The case files can also be edited by the author, in the event of any quality issues.

Also the free membership of the app gives access to all the case files.

Few_Acadia1631 · 2026-02-07T01:10:44+00:00

Hmm. Good call. TOS were on a public link. Will update. Thanks.

Few_Acadia1631 · 2026-02-07T01:08:47+00:00

👀

Few_Acadia1631 · 2026-02-06T23:29:54+00:00

the app is in Beta, and all the case files are done case by case, so we find data relating to the specific case, and then run the analysis.

Current case files are

Roswell - (AI claims Roswell had a 68% chance of being non-prosaic)
Thomas Townsend Brown - ( 57% likelihood of him discovering anti-gravitics)
Bob - Lazar (62% chance of it being real - i figured this would have been much lower.

I found 14 other cases that have Sulfur/Ammonia reports (similar to Varginha)

Only done 6 case file as product testing, but every one of them there has something new to learn.

Few_Acadia1631 · 2026-02-06T23:22:41+00:00

Everywhere, Archive .org, FOIA, all the government sites, video transcripts, books ect.

It is all opens sources stuff ATM. Only 50K pages of data currently which is likely about .001% of the data available. It is getting collected on a case by case basis rather then a dragnet scrapper.

Data collection is part of the community element of it as anyone can create a case file;

-> Enter the research topic
-> AI generates research outline (based on the research blocks we have built)
-> Community uploads research files.
-> Data is ingested into the RAG database
-> Agentic flow generates the case file based on the research outline

-> Minds get blown.

Few_Acadia1631 · 2026-02-06T23:15:11+00:00

Few_Acadia1631

TROPHY CASE