The product development system for teams and agents. Build roadmaps, verify expertise, and secure the proof of work.
Bridges the gap between high-level human goals and autonomous agent execution.
Your issues our Systemsone.app/nextAll lnboxAgent TaskVoice SessionsAnalytics
- 1021Resume parser extracts skills and project metadata correctly#84211Resume AIMay 10
- 1038Voice agent supports real-time interview transcription#84264VoiceMay 10
- 1050Generate proof-of-work tasks from GitHub repositories#84302GitHubAI TasksMay 9
- 1064The proof of work creation process#84391RoadmapsTrainingMay 8
- 1072Multi-agent orchestration using LangGraph workflows#84412AgentsLangGraphMay 8
- 1081Candidate scoring engine evaluates architecture decisionsEvaluationScoringMay 7
- 1090Add AI recruiter copilot for candidate comparison reportsRecruitmentAI CopilotMay 7
- 1098Enable voice cloning for personalized interview agentsVoice AIMay 6
- 1104Create leaderboard and XP progression systemGamificationMay 6
- 1112Deploy vector memory for long-term candidate contextMemoryVector DBMay 5
- 1120Integrate LiveKit streaming for low-latency voice sessionsRealtimeMay 5
- 1137Add AI mock interviewer with emotion and tone detectionInterview AIMay 4
- 1143Generate personalized DSA roadmap based on resume analysisDSARoadmapsMay 4
- 1151Build AI analytics dashboard for recruiter insightsAnalyticsMay 3
- 1164Improve latency of multi-agent task execution pipelinePerformanceAgentsMay 3
◬ARCHITECT
⟐VALIDATOR
▤LEDGER
⊙AGENT.OS
◈PROTOCOL
⬡RUNTIME
◉VOICE
✓PROOF
Built for the future of AI hiring where voice agents interview, evaluate, and generate personalized growth paths in real time.
FIG 0.2
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AI-Native Workflows
Designed for intelligent teams using voice agents, automated evaluations, and adaptive learning systems.
FIG 0.3
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Resume Intelligence Engine
Transforms resumes into real proof-of-work challenges, skill analysis, and personalized AI-generated career roadmaps.
FIG 0.4
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Adaptive Learning System
Creates personalized learning journeys based on skills, goals, project history, and real-world performance.
Talk with AI mentors
in real time
Turn conversations and student goals into actionable issues. Try it below — type a message and hit Enter.
1.0IntakeTodo74
+ ···ENG-2703
Faster Testing
Performance
ENG-2704
Track iOS startup performance
Analytics
ENG-926
Remove UI inconsistencies
Design
ENG-2088
TypeError: Cannot read properties
Bug
In Progress3
+ ···AI-2001
Pre-render roadmap core and stream refinements in background
Urgent
AI-2002
Track startup timing for voice agent + roadmap initialization
Monitoring
AI-2003
Optimize real-time voice latency under concurrent sessions
Voice
AI-2004
Improve context-aware roadmap generation from live conversations
AI Core
Done128
+ ···AI-1021
Resume parsing engine extracts skills and projects accurately
Resume AI
AI-1038
Real-time voice agent transcription pipeline stabilized
Voice
AI-1050
Proof-of-work generator from GitHub activity completed
GitHub
AI-1064
Basic AI roadmap generator MVP shipped
Roadmaps
Thread in #general
Arish4:05 PM
Feels like we could generate the roadmap instantly and let the AI refine the deeper learning path in the background. Probably worth tracking learning patterns too, so recommendations improve over time!
Arish4:05 PM
@One create urgent proof of work test of me
One4:05 PM
Assigned 2 Tests:
- 2703Start your interview
- 2704Questions on your projects
+Aa☺@▶🎤/
Mention @One and say "create…".
010sRoadmap generation time
020%AI response uptime
030xFaster learning iteration
040+Real-time AI interactions
Understand
progress at your proof
Eliminate learning delays with instant roadmap generation, and continuously optimized performance insights.
5.0MonitorCycle time by agent
Weekly
. your Projects
Questions38 min remaining
- · You have written in your resume that you made a PR introducing a proof-of-work system that converts user conversations into structured learning roadmaps and skill evaluations can you walk me through how you designed the evaluation logic and ensured it stays accurate in real-time?
Response
AnswerBy julian · 3 hours ago
- ·I designed the evaluation logic by breaking down conversations into structured signals like skill mentions, problem-solving approach, and project context.....
FIG 0.5 — AGENTS
Real-time collaboration with AI agents for learning and evaluation.
One agent · Acceptance rate of your proof of work 82%
Build a small Rust service that safely processes concurrent requests and returns optimized results with minimal latency. How would you ensure memory safety and performance?
- YYouI would use Rust’s ownership model with async handlers (Tokio runtime), ensure thread-safe state using Arc<Mutex> or lock-free structures where possible, and design stateless request processing. For performance, I’d minimize allocations, use efficient data structures, and benchmark hot paths while relying on Rust’s compile-time safety to prevent race conditions.
- ✦Agentnoice oneee ... 9/10
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FIG 0.6 — STUDENT STORIES
Voice agents that understand, guide, and grow with every conversation.
"The roadmap felt uncannily personalized — it adapted to my goals after just one conversation."
Aarav Mehta
CS Student
"The voice mentor explained concepts better than most online courses I’ve tried."
Sophia Kim
Frontend Developer
"It identified my weak backend fundamentals and rebuilt my learning path around them instantly."
Rohan Verma
Aspiring AI Engineer
"The proof-of-work feedback was incredibly detailed. It actually felt like a senior engineer reviewed my work."
Daniel Ross
Software Engineer
"Real-time conversations with the AI mentor made learning feel interactive instead of overwhelming."
Emily Carter
Self-taught Developer
"The roadmap felt uncannily personalized — it adapted to my goals after just one conversation."
Aarav Mehta
CS Student
"The voice mentor explained concepts better than most online courses I’ve tried."
Sophia Kim
Frontend Developer
"It identified my weak backend fundamentals and rebuilt my learning path around them instantly."
Rohan Verma
Aspiring AI Engineer
"The proof-of-work feedback was incredibly detailed. It actually felt like a senior engineer reviewed my work."
Daniel Ross
Software Engineer
"Real-time conversations with the AI mentor made learning feel interactive instead of overwhelming."
Emily Carter
Self-taught Developer
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01 — Converse
Start talking. Agent begins understanding your goals.
02 — Evaluate
Skills, strengths, and gaps are analyzed in real time.
03 — Generate
A personalized roadmap is built around your journey.
04 — Evolve