Showcase
Eight showcases. Eight domains. One primitive: structured claims with polarity, validity, and source attribution — and automatic contradiction detection across them.
Each showcase answers the same question: “why couldn’t Postgres + embeddings + a dashboard do this?”
Multi-Agent AI
Section titled “Multi-Agent AI”Multi-Agent Ops: Which Agent Memory Is Stale?
Section titled “Multi-Agent Ops: Which Agent Memory Is Stale?”Five agents watched the same Black Friday incident. The database figured out which memory was stale.
Five sub-agents report from five different sources. Two are stale. YantrikDB preserves every claim with validity windows and confidence bands, then surfaces which beliefs are live and which are holding yesterday’s truth.
Belief management under contradiction. Not a vector store — a witness stand.
Public Claims vs Records
Section titled “Public Claims vs Records”The car passed emissions — because it knew it was being tested.
Twelve years of public record: VW compliance claims, internal engineering documents, ICCT field tests, EPA Notice of Violation, DOJ consent decree. Five polarity contradictions on one tuple. Validity windows span 2006 to 2017.
Legal Discovery
Section titled “Legal Discovery”He said he never touched the repo. Badge, VPN, and git all say he did.
A fictional trade-secrets matter (Waymo v. Uber-inspired patterns). Sworn deposition claims coexist with six forensic sources. The evidence chain is the query result.
Financial Forensics
Section titled “Financial Forensics”Wirecard — The €1.9B That Existed and Didn’t
Section titled “Wirecard — The €1.9B That Existed and Didn’t”The €1.9B both existed and didn’t — depending on which source you asked.
The same number, reported across four sources, took four contradictory positions over six years. Eight polarity contradictions on one tuple. The temporal query flips the belief state between 2019 and 2020.
Investigative Journalism
Section titled “Investigative Journalism”The campaign denied taking the money. The filings, shell-company records, and ownership chain traced it anyway.
A fictional five-hop entity chain across FEC filings, Delaware registry, bank transfers, and industry classification. The contradiction lives not in any single source but in the composition across five.
Incident Response
Section titled “Incident Response”David said he didn’t touch the repo. Git says he did, 23 minutes before the leak.
Five witnesses to a data breach, plus badge and git logs. Structured claims with polarity let the engine identify the perpetrator and cite the exact lies — with real queries, not scripted narrative.
Historical Research
Section titled “Historical Research”Nixon said nobody in the White House was involved. The tape of his own voice says otherwise, recorded six days after the break-in.
Fifty years of declassified primary sources: Nixon’s public denials, the White House tapes, sworn Senate testimony, Senate Watergate Committee findings. Six polarity contradictions on Nixon alone, in one query.
Character-Informed Generation
Section titled “Character-Informed Generation”207 memories. 288 entities. Personality derived. Then he wrote.
The difference between 29 memories (generic pastiche) and 207 (a specific man writing to a specific woman at a specific hour). Richer memory → richer character → richer output from any LLM.
Want to add your own showcase? Open a discussion or submit a PR to the website repo.