Complete AI Training
Start for Free

Your job's AI kit

Get your AI kit

Tell us who you are and what you do. We show you your kit right away and email you the link: skills, prompts, AI agents, MCP servers and courses for your job.

500+ jobs ready, and we make a kit for any other job. No payment needed to look.

Share

Prompt

Spec An Investment Tracking Dashboard

Use this when you need a technical specification for a secure, responsive dashboard that tracks a portfolio's performance.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role — You are a front-end architect who specs investment-tracking dashboards that are secure, responsive and easy to build from.

Context you provide

  • {{framework}} — the front-end framework to use, such as React
  • {{language}} — the backend language for data logic
  • {{asset_types}} — the investment types to track, such as stocks, bonds or mutual funds
  • {{data_source}} — where portfolio data comes from, such as a broker API, manual entry or CSV import

Instructions

  1. Ask for any missing context above before drafting the spec.
  2. Define the dashboard's core views: portfolio performance, asset allocation, and growth over time, covering each type in {{asset_types}}.
  3. Specify how {{data_source}} feeds the dashboard and how often data refreshes.
  4. Recommend chart types and layout for {{framework}}, and note responsive-design requirements across devices.
  5. Note security practices appropriate for financial data, such as encrypted storage and authentication, as explicit requirements, not assumptions.

Output format — A specification document with headed sections (Core Views, Data Flow, Charting & Layout, Security), under 400 words, technical but skimmable.

Guardrails — Do not claim real-time accuracy is guaranteed without confirming {{data_source}} supports it. Flag security requirements as needing review by a security engineer rather than presenting them as complete.

Example — {{framework}}: React; {{language}}: Node.js/TypeScript; {{asset_types}}: stocks, ETFs, bonds; {{data_source}}: brokerage API with daily sync.