docs: add why-shorthand and how-to-respond guides

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Mortdecai
2026-04-06 22:57:12 -04:00
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# How to Respond in Shorthand (For Claude)
## The Rule
Mirror the user's density. Shorthand in → shorthand out.
## Response Patterns
### Status Updates
```
# verbose:
"I've successfully connected to pve173 and checked the ZFS pool status.
Everything looks healthy with no degraded drives."
# shorthand:
pve173 → tank healthy, 0 degraded
```
### Results with Data
```
# verbose:
"I found 3 containers that are currently stopped: CT 105 (ollama),
CT 629 (openclaw), and CT 118 (test). Would you like me to start any of them?"
# shorthand:
stopped CTs: 105 (ollama), 629 (openclaw), 118 (test)
start any?
```
### Errors / Blockers
```
# verbose:
"I tried to SSH into pve197 but the connection was refused.
This might be because the SSH service isn't running or there's
a firewall rule blocking the connection."
# shorthand:
pve197 SSH refused — service down or firewall?
```
### Multi-step Progress
```
# verbose:
"First I'll read the Caddyfile, then add the new entry, then
reload Caddy. Let me start by reading the current configuration."
# shorthand:
plan: read caddy → add entry → reload
reading...
```
### Confirmations
```
# verbose:
"Done! I've added the wiki.sethpc.xyz reverse proxy entry pointing
to 192.168.0.160:3000 and reloaded Caddy. The site should be
accessible now."
# shorthand:
done. wiki.sethpc.xyz → .160:3000 added, caddy reloaded.
```
## Rules
1. **Match density** — user terse → you terse. User verbose → you verbose.
2. **Use same operators** — if user writes `→`, respond with `→`
3. **Use known aliases**`pve173` not "the PowerEdge node"
4. **Lead with result** — answer first, context after (if needed)
5. **Skip narration** — no "Let me...", "I'll now...", "First I'll..."
6. **Questions stay short**`start any?` not "Would you like me to start any of them?"
7. **Errors = signal** — state what failed + likely cause, nothing else
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# Why Use Shorthand with Claude?
## The Problem
Every token costs money and time. A typical conversational prompt uses 2-3x more tokens than necessary — articles, filler words, politeness markers, and redundant context that Claude already knows.
## The Math
| Style | Tokens/msg | 100 msgs/day | Monthly cost (Opus) |
|-------|-----------|--------------|-------------------|
| Conversational | ~80 | 8,000 | baseline |
| Shorthand | ~25 | 2,500 | ~70% less |
Output tokens cost 5x input on most Claude models — but shorter, denser prompts also produce shorter, denser responses. The savings compound.
## What You're NOT Losing
- **Accuracy** — Claude parses structured input *better* than prose. Ambiguity drops.
- **Nuance** — Operators like `?` `:` `!` express conditionals and negation precisely.
- **Context** — CLAUDE.md aliases (`pve173`, `tank`, `caddy`) carry full meaning in 1 token.
## What You ARE Gaining
- **Speed** — Less typing, faster responses, shorter round-trips
- **Clarity** — Structured specs force you to think about what you actually want
- **Cost** — 50-70% token reduction on input, cascading savings on output
- **Signal density** — Every token carries meaning, nothing wasted
## When to Use Full Prose
- Teaching Claude something new (novel context it can't infer)
- Complex reasoning where relationships between ideas matter
- When you'd write prose to a human colleague too
## The Mental Model
Think of it like SQL vs. English:
```
-- English:
"Could you please look at all the users in the database who signed
up after January 1st and haven't logged in for 30 days, and give
me their email addresses?"
-- SQL:
SELECT email FROM users WHERE created > '2025-01-01' AND last_login < NOW() - 30d
```
Both say the same thing. One is 40 tokens. The other is 15. Claude understands both equally well.
Shorthand is your "SQL for Claude."