# πŸ“€ Submission Copy (paste into the Discord track channels) Post a **separate** post per track. Attach the demo video. Add your @handle + repo. --- ## Track 1 β€” Multiverse Agents (#g4hackathon-multiverse-agents) **Project Name:** FlashTriage **Team Members:** @your_handle **Project Description:** FlashTriage is a multi-agent security-triage swarm built on Gemma-4-31B and Cerebras. Four specialist agents β€” Analyst, Remediator, Commander, and a multimodal Vision-RCA β€” turn raw output from any code/model scanner into risk-ranked, fix-ready findings. The analysts fan out concurrently so Cerebras' throughput collapses an entire batch into ~one call's wall-clock, and the Vision agent reads a screenshot of the offending code to return root cause and a patch in milliseconds. **GitHub:** https://github.com/your/flashtriage **Demo Video:** (attached) --- ## Track 3 β€” Enterprise Impact (#g4hackathon-enterprise-impact) **Project Name:** FlashTriage **Team Members:** @your_handle **Project Description:** Enterprise scanners don't have a detection problem β€” they have a triage problem; hundreds of findings per scan drown security teams. FlashTriage ingests SARIF/JSON from any of the common scanners (Semgrep, Trivy, Bandit, ModelScan, Garak…) and a Gemma-4 swarm on Cerebras triages the whole batch in seconds: real CVSS over scanner labels, exploitability, false- positive likelihood, drafted remediations, and an incident-commander rollup. It runs inline on every CI scan for interactive triage, and a Cerebras Batch-API mode clears 50k-finding backlogs overnight β€” turning vulnerability management from a backlog into a real-time control. **GitHub:** https://github.com/your/flashtriage **Demo Video:** (attached) --- ## Track 2 β€” People's Choice (optional, #g4hackathon-people-choice) Only chase this if you'll actually post and engage. Suggested X copy: > Security scanners find 1000s of issues. Triaging them is the real bottleneck. > So I built FlashTriage: a 4-agent swarm on @googlegemma Gemma-4 + @Cerebras that > triages a whole scan in ~1s β€” CVSS, exploitability, fixes, even reads a screenshot > of the code for root cause. Same work, sequential = 8s. Cerebras = 1s. πŸ§΅πŸ‘‡ > #Gemma4 #Cerebras Then a 2–4 reply thread: (1) the race clip, (2) the multimodal RCA clip, (3) "why this matters: triage at the speed of inference = run it on every CI build", (4) repo link. --- ## Why this scores on the rubrics - **Speed in action / AI differentiation:** the live race computes the ratio from real `wall_ms`; multi-agent is the *ideal* Cerebras showcase (many calls β†’ parallel β†’ instant). Baseline can be **your own RTX 5090 via Ollama** β€” a real, relatable cloud-vs-local-GPU contrast where the single local GPU has to queue what Cerebras serves in parallel. - **Agent collaboration:** 4 distinct roles with real orchestration (fan-out analysts β†’ conditional remediators β†’ single commander rollup). - **Multimodal intelligence:** Vision-RCA uses Gemma-4 image input on a genuine artifact (a code/dashboard screenshot), not a gimmick. - **Business impact / production readiness:** named enterprise problem (vuln mgmt / IR), decoupled SARIF ingestion, strict structured outputs, real-time console *plus* Batch-API backlog mode, FastAPI service. ## Name alternatives (if FlashTriage clashes) BlinkTriage Β· TriageRace Β· SubSecond SOC Β· FluxTriage