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📤 Submission Copy (paste into the Discord track channels)
Post a separate post per track. Attach the demo video. Add your @handle + repo.
Track 1 — 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 — Analyst, Remediator, Commander, and a multimodal Vision-RCA — 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 — Enterprise Impact (#g4hackathon-enterprise-impact)
Project Name: FlashTriage
Team Members: @your_handle
Project Description: Enterprise scanners don't have a detection problem — 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 — turning vulnerability management from a backlog into a real-time control.
GitHub: https://github.com/your/flashtriage Demo Video: (attached)
Track 2 — 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 — CVSS, exploitability, fixes, even reads a screenshot of the code for root cause. Same work, sequential = 8s. Cerebras = 1s. 🧵👇 #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 → parallel → instant). Baseline can be your own RTX 5090 via Ollama — 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 → conditional remediators → 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 · TriageRace · SubSecond SOC · FluxTriage