Footer navigation

Unlocking state-of-the-art artificial intelligence and building with the world's talent

LinkedIn
Twitter/X
Instagram
Discord
YouTube
Twitch

Other group brands:

Links

AI Tech
AI Hackathons
AI Tutorials
AI Applications
NativelyAI
AI Articles
Leaderboard
Writers

lablab

Brand
Hackathon Guidelines
Terms of Use
Code of Conduct
Privacy Policy
Security

Get in touch

Discord
Sponsor
Cooperation
Contribute
Send email

© 2026 NativelyAI Inc. All rights reserved.

3.86.0

Help CenterBrowse FAQs and guides.

Discord CommunityChat with mentors and the team.

Challenge + Get $100 creditsAI Hackathons AI Apps AI Tech AI Tutorials AI Articles NativelyAI Sponsor

AI app: Briefly: Voice to Project Clarity for AssemblyAI - Voice Agent Hackathon

Home
App Discovery
Briefly: Voice to Project Clarity

Briefly: Voice to Project Clarity

Created by team TSG WARRIOR on September 30, 2026

Assemblyai Guardrails API Vercel

Briefly turns conversations about a software project into clear, reviewable outputs. A user speaks with an AssemblyAI voice agent about a new idea, a bug, or a requested change. The agent asks follow-up questions and captures the answers in structured fields that the user can correct and edit. In Project Brief mode, Briefly creates an editable brief and five separate Markdown files: a PRD, app flow, tech stack, frontend guidelines, and backend structure. BugTalk gathers reproduction details and creates a structured bug ticket plus an investigation prompt. ScopeCheck compares a proposed change with the original brief and keeps it separate for human review. The live app is deployed on Render. We tested spoken corrections, document generation, bug reporting, and scope proposals. Briefly reduces the work of rewriting conversations while keeping final decisions in human hands.

Category tags:

Developer Tools, Agent Builder track - The INTERNET OF AGENTS, Productivity, Web Application

Github Presentation Demo

Explore more applications

testtinggg

good tingood tingood tingood tingood tingood tingood tingood tingood tingood tingood tin

LFG

Detonation Chamber

Run an untrusted npm/PyPI package, GitHub repo, or URL in a sealed, disposable Vultr sandbox. Watch what it does and get a verdict based on its actual behaviour. Every escape attempt is contained and recorded.

Builders Nepal

Containment Foreman - sandboxed agent runtime

A human-gated foreman that plans AI agent tasks, dispatches each step to a disposable, network-less Docker sandbox, and returns verifiable receipts with SHA-256 artifacts, resource caps and zero host access.

Schultzenator

Ghostfox Zero: Browser Agent

A sandboxed browser agent powered by our own Firefox engine. True agentic loop with vision verification, human approval gate, and MCP endpoint for AI agents.

autokeren

AgentOpsAIMLVULTR

LeakProof

Finds revenue leaks in billing exports without letting the data leak: model-written pandas runs in a throwaway gVisor sandbox on Vultr (no network, no secrets, hard limits), a second model checks every sentence, and each answer has a re-runnable receipt.

Design Master Solutions

Kunal Pandey

Upcoming AI Hackathons
For Innovators & Creators

Explore more applications

testtinggg

good tingood tingood tingood tingood tingood tingood tingood tingood tingood tingood tin

LFG

Detonation Chamber

Run an untrusted npm/PyPI package, GitHub repo, or URL in a sealed, disposable Vultr sandbox. Watch what it does and get a verdict based on its actual behaviour. Every escape attempt is contained and recorded.

Builders Nepal

Containment Foreman - sandboxed agent runtime

A human-gated foreman that plans AI agent tasks, dispatches each step to a disposable, network-less Docker sandbox, and returns verifiable receipts with SHA-256 artifacts, resource caps and zero host access.

Schultzenator

Ghostfox Zero: Browser Agent

A sandboxed browser agent powered by our own Firefox engine. True agentic loop with vision verification, human approval gate, and MCP endpoint for AI agents.

autokeren

AgentOpsAIMLVULTR

LeakProof

Finds revenue leaks in billing exports without letting the data leak: model-written pandas runs in a throwaway gVisor sandbox on Vultr (no network, no secrets, hard limits), a second model checks every sentence, and each answer has a re-runnable receipt.

Design Master Solutions