// Project brief
Slop isn't just AI, it can also be human. Unslop will input a website and cut out all the ineffective fluff/slop with context decisions and browserbase lookup centered around jev decision making.
Projecthackathon
Built at JEVATHON (w/ The AI Collective)
UnSlop
Slop isn't just AI, it can also be human. Unslop will input a website and cut out all the ineffective fluff/slop with context decisions and browserbase lookup centered around jev decision making.
// latest_project_recording.mp4
// More from this event
Keep exploring what builders shipped.
Gustave
Gustave, the voice shopping assistance
Online shopping means typing, filtering, scrolling and comparing across tabs. And most "shopping assistants" just swap the search bar for a chat box: type, wait, see three products, type again, wait again. In a store, you just talk, and someone starts pulling things off the rack while you're still talking. Every reaction you give sharpens what they bring next. Meet Gustave: a voice shopping assistant that recreates that natural, iterative experience.
TypeSafe AI
KYC-Sentinel
KYC Sentinel
KYC Sentinel: adverse-media screening for AML/KYC analysts. Jev judges, code decides, the LLM only writes. Compliance analysts waste hours clearing irrelevant news hits: same-name strangers, victims, passing mentions. KYC Sentinel pulls news for every client in a portfolio. Jev (TypeSafe AI) judges each client–article pair: same person? the perpetrator? what risk? how severe? A pure, unit-tested router then sorts every client into CLEAR / REVIEW / FLAGGED / NO_COVERAGE. • Fails closed: any uncertainty or model error means REVIEW, never CLEAR. • Autonomy Dial: a compliance manager drags strictness and the whole portfolio re-routes instantly from stored Jev probabilities, with zero new model calls. • Thresholds live in code, not prompts. The LLM only writes analyst memos, on demand, for flagged/review clients, citing sources. It never decides. • Full audit log of every decision, plus a live receipts meter. Results on a 26-client portfolio: 37 Jev calls, 0 errors, 0.9s, $0.0011, about 145× cheaper than the same job on a frontier LLM (est. $0.16). Famous-name collisions (Michael Jordan, Michael Cohen) are cleared as "different person" even when the other person's news is damning. Victims and identity-theft targets are cleared as "not the subject". Vague common-name mentions go to REVIEW. Documented fraud cases and a Tulsa accountant who shares Taylor Swift's name are surfaced, while the pop star's news is ignored. Stack: Jev (TypeSafe AI), FastAPI, GDELT, Gemini for memos, vanilla JS. 77 tests. Data note: GDELT rate-limited our network, so several clients use clearly labelled synthetic articles (domain synthetic-demo.local). Everything downstream runs identically.
TypeSafe AI
HackerSquad project
Beethoven
A live band you conduct with paintings: arrange artworks on a musical staff, and every bar an AI conductor (TypeSafe Jev) decides how the band plays while Google's Lyria RealTime generates the music. # Painting Band 🎨🎶 **Arrange paintings on a staff. A playhead sweeps across. Every bar, an AI conductor decides how the band plays, and an AI music model plays it live.** Nothing is pre-recorded. The music is generated live from what's on the canvas. ## How it works 1. **See:** Gemini looks at each painting and writes how it should sound: mood words, sound ideas (e.g. "cascading koto arpeggios"), instruments, and the painting's musical tradition (Japanese, Hindustani, Western…). Upload your own image and it's described in about 2–3 s. 2. **Arrange:** Drag paintings onto the staff. - **Left → right** = when a painting plays - **Height** = register (high or low) - **Size** = how strongly its mood and sounds lead 3. **Conduct:** Every bar (~2.7 s), **TypeSafe Jev** answers up to 12 typed questions in parallel in ~150–300 ms: - how loud each painting should be, and the mood and energy - drums, bass and the lead instrument - two extra sounds and the transition - which culture leads when traditions mix Jev never plays notes; it only decides. 4. **Play:** Jev's choices become weighted text prompts plus density, brightness and mute settings for **Google Lyria RealTime**, which streams AI-generated 48 kHz audio and blends toward each new decision. The music changes when you move, resize, add or remove a painting. ## Architecture ``` Canvas → scene as words → Jev (decides) → translator → Lyria RealTime (plays) ↘ Strudel (backup engine) Images → Gemini vision → mood, sound ideas, instruments, culture ``` - **Deciders never make sound; engines never make decisions.** Code sits in between. - **Deadline-safe:** if Jev is later than 150 ms before the next bar, the band reuses the last bar's choices, so the music never stops. - **Always playing:** if Lyria stalls, the app switches to **Strudel** (a browser-based live-coding music engine) mid-song, and you can switch back with one click. - **Explainable:** the `</>` panel shows each bar's questions and Jev's odds for every option, the exact prompts sent to Lyria, what Gemini saw in each painting, and a live log of every model call. ## Features - Drag, resize and delete paintings; draggable playhead (Home = start) - Silence where there's no painting under the playhead - Upload any image; Gemini describes it (with automatic model fallback when busy) - Cultural awareness: each painting's musical tradition shapes the sound, and Jev picks which tradition leads - Jev vs. Rules toggle (keys J/R) to hear the difference judgement makes - Live stats: Jev latency, missed bars, and cost (~$0.00001 per bar) ## Tech stack - **Vite + React + TypeScript** - **TypeSafe Jev:** per-bar decisions (`/v1/systemone`, typed choice answers with confidence) - **Google Gemini:** image understanding (structured JSON output) - **Google Lyria RealTime:** streaming music generation (`@google/genai`) - **Strudel:** fallback engine (`@strudel/web`, General MIDI soundfonts) - API keys stay server-side behind a Vite proxy (except Lyria, which streams from the browser in this local demo) ## Run it ```bash npm install cp .env.example .env.local # add JEV_KEY, JEV_BASE_URL, VITE_GEMINI_KEY npm run dev ``` Open http://localhost:5173 and drag a painting onto the staff. ## Paintings Seven public-domain works from Wikimedia Commons: Hokusai, Monet, Van Gogh, Bruegel, Seurat, Rembrandt and Raja Ravi Varma.
TypeSafe AIGMI