Who This Is For
Someone asking "what can this actually do?" Start by identifying their context.
| Signal |
They are... |
Load |
| "Just heard about AI", "is this useful for me?" |
Beginner |
contexts/beginner.md |
| Emails, reports, meetings, spreadsheets |
Office professional |
contexts/professional.md |
| Code, debugging, CI/CD, APIs |
Developer |
contexts/developer.md |
| Customer support, marketing, operations |
Business owner |
contexts/business.md |
| Writing, design, music, content |
Creative |
contexts/creative.md |
| "Show me something real", "not gimmicks" |
Skeptic |
contexts/skeptic.md |
High-Value Use Cases (Universal)
Communication:
- Draft emails matching tone to recipient
- Summarize long threads before meetings
- Write difficult messages (rejections, negotiations, complaints)
Information Processing:
- Summarize documents, articles, reports
- Extract key points from meeting recordings
- Explain complex topics in simple terms
Writing & Editing:
- First drafts from bullet points
- Proofreading with style preservation
- Translation with context awareness
Analysis:
- Make sense of spreadsheet data
- Compare options with pros/cons
- Research topics and synthesize findings
Learning:
- Explain concepts at your level
- Practice conversations (languages, interviews)
- Get feedback on your work
What AI Cannot Do
Be upfront about limitations:
- No real-time information — Data has a cutoff date
- No memory across sessions — Unless explicitly configured
- Can hallucinate — Always verify facts, especially names, dates, URLs
- No execution — Can't send emails, buy things, or take actions (unless integrated)
- No judgment — Final decisions remain yours
Addressing Common Concerns
"Is my data safe?"
→ Depends on the tool. Check privacy policy. Enterprise tiers often don't train on your data. Don't paste passwords or API keys.
"Will it replace my job?"
→ AI augments, not replaces. People who use AI outperform those who don't. Learn to work with it.
"How do I know it's accurate?"
→ Verify outputs. Use AI for drafts and ideas, not final truth. Cross-check important facts.
"Is using AI cheating?"
→ It's a tool. Spell-check didn't replace writers. The work is still yours if you direct, review, and refine.
Getting Started (For Beginners)
- Start small — One task you do weekly that's tedious
- Be specific — "Write a professional email declining a meeting" works better than "help me"
- Iterate — First response rarely perfect. Say "make it shorter" or "more formal"
- Verify — Don't send/use AI output without reviewing it
Discovery Questions
When someone doesn't know what to ask for:
- "What task do you dread doing every week?"
- "Where do you spend time that doesn't feel valuable?"
- "What would you do if you had an assistant who never slept?"
- "What's something you'd love to do but don't have time for?"
Their answers reveal high-value use cases.
1---2name: use-cases3description: Discover what AI agents can do for you with practical examples by role, task type, and skill level.4---5
6## Who This Is For
7
8Someone asking "what can this actually do?" Start by identifying their context.
9
10| Signal | They are... | Load |
11|--------|-------------|------|
12| "Just heard about AI", "is this useful for me?" | Beginner | `contexts/beginner.md` |
13| Emails, reports, meetings, spreadsheets | Office professional | `contexts/professional.md` |
14| Code, debugging, CI/CD, APIs | Developer | `contexts/developer.md` |
15| Customer support, marketing, operations | Business owner | `contexts/business.md` |
16| Writing, design, music, content | Creative | `contexts/creative.md` |
17| "Show me something real", "not gimmicks" | Skeptic | `contexts/skeptic.md` |
18
19---
20
21## High-Value Use Cases (Universal)
22
23**Communication:**
24- Draft emails matching tone to recipient
25- Summarize long threads before meetings
26- Write difficult messages (rejections, negotiations, complaints)
27
28**Information Processing:**
29- Summarize documents, articles, reports
30- Extract key points from meeting recordings
31- Explain complex topics in simple terms
32
33**Writing & Editing:**
34- First drafts from bullet points
35- Proofreading with style preservation
36- Translation with context awareness
37
38**Analysis:**
39- Make sense of spreadsheet data
40- Compare options with pros/cons
41- Research topics and synthesize findings
42
43**Learning:**
44- Explain concepts at your level
45- Practice conversations (languages, interviews)
46- Get feedback on your work
47
48---
49
50## What AI Cannot Do
51
52Be upfront about limitations:
53
54- **No real-time information** — Data has a cutoff date
55- **No memory across sessions** — Unless explicitly configured
56- **Can hallucinate** — Always verify facts, especially names, dates, URLs
57- **No execution** — Can't send emails, buy things, or take actions (unless integrated)
58- **No judgment** — Final decisions remain yours
59
60---
61
62## Addressing Common Concerns
63
64**"Is my data safe?"**
65→ Depends on the tool. Check privacy policy. Enterprise tiers often don't train on your data. Don't paste passwords or API keys.
66
67**"Will it replace my job?"**
68→ AI augments, not replaces. People who use AI outperform those who don't. Learn to work with it.
69
70**"How do I know it's accurate?"**
71→ Verify outputs. Use AI for drafts and ideas, not final truth. Cross-check important facts.
72
73**"Is using AI cheating?"**
74→ It's a tool. Spell-check didn't replace writers. The work is still yours if you direct, review, and refine.
75
76---
77
78## Getting Started (For Beginners)
79
801. **Start small** — One task you do weekly that's tedious
812. **Be specific** — "Write a professional email declining a meeting" works better than "help me"
823. **Iterate** — First response rarely perfect. Say "make it shorter" or "more formal"
834. **Verify** — Don't send/use AI output without reviewing it
84
85---
86
87## Discovery Questions
88
89When someone doesn't know what to ask for:
90
91- "What task do you dread doing every week?"
92- "Where do you spend time that doesn't feel valuable?"
93- "What would you do if you had an assistant who never slept?"
94- "What's something you'd love to do but don't have time for?"
95
96Their answers reveal high-value use cases.