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ExperimentalNara Labs product experiment

Ahead

AI Financial Decision Agent

Ahead explores how AI can help individuals make better financial decisions by combining memory, scenario simulation, and conversational reasoning.

Demo video coming soonGitHub repo coming soon
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Ahead product preview

Overview

Ahead explores how AI can help individuals make better financial decisions by combining memory, scenario simulation, and conversational reasoning.

Problem

Traditional budgeting tools focus on tracking past spending, but many young adults need help making forward-looking decisions about rent, savings, career moves, lifestyle tradeoffs, and long-term financial goals.

Solution

Ahead acts as a conversational financial decision agent. It helps users compare scenarios, understand tradeoffs, remember personal goals, and reason through financial choices in real time.

Architecture

User context
→ Personal memory
→ Financial decision engine
→ Scenario simulation
→ Conversational interface
→ Recommendation and explanation layer

Screenshots

Ahead product interface screenshot
Ahead decision simulation in action
Ahead team building session

Team

  • Nagisa IkedaProduct Management, AI Design Engineering
  • Jiawen ZhangAI Engineering, Implementation

Tech Stack

iOSSwiftUIOpenAI Realtime / reasoning modelsFinancial simulation logicMemory layerConversational interface

Links

Demo Video

Demo video coming soon

GitHub Repo

GitHub repo coming soon

Lessons Learned

Ahead clarified that strong AI products need more than a compelling interface. They need a specific user, urgent pain point, trusted reasoning layer, and clear differentiation from general-purpose AI assistants.