Jobs, Not Features
Users don’t care about caro’s 50 safety patterns or bundled model. They care about not breaking production and getting work done even when offline.
People don’t buy products—they hire them to get jobs done. This page documents the specific jobs users hire caro to perform, using the canonical JTBD framework from Anthony Ulwick’s Outcome-Driven Innovation methodology.
Jobs, Not Features
Users don’t care about caro’s 50 safety patterns or bundled model. They care about not breaking production and getting work done even when offline.
Hiring and Firing
When users “hire” caro, they’re “firing” something else—manual review, Google searches, or cloud-dependent AI tools. Understanding what gets fired reveals the real job.
Three Job Types
Functional: Tasks to accomplish. Emotional: How users want to feel. Social: How users want to be perceived.
Jobs use the canonical format: When [situation], I want to [motivation], so I can [outcome].
When I’m about to run a command in production, I want to validate it won’t cause damage, so I can prevent outages and keep my systems running.
| Attribute | Value |
|---|---|
| Importance | Critical |
| Frequency | Daily |
| Satisfaction Gap | High |
When I’m working in an air-gapped or restricted environment, I want to get AI assistance without network access, so I can be productive even when isolated from the internet.
| Attribute | Value |
|---|---|
| Importance | Critical |
| Frequency | Daily |
| Satisfaction Gap | Very High |
When I know what I want to do but not the exact command syntax, I want to describe my intent in plain English, so I can get a working command without searching documentation.
| Attribute | Value |
|---|---|
| Importance | High |
| Frequency | Daily |
| Satisfaction Gap | Medium |
When I’m writing commands that need to work on Mac, Linux, and CI, I want to generate platform-aware commands automatically, so I can stop debugging BSD vs GNU flag differences.
| Attribute | Value |
|---|---|
| Importance | High |
| Frequency | Weekly |
| Satisfaction Gap | High |
When I’m troubleshooting an incident at 3 AM, I want to get commands quickly without making mistakes, so I can resolve incidents faster without causing additional damage.
| Attribute | Value |
|---|---|
| Importance | Critical |
| Frequency | Weekly |
| Satisfaction Gap | High |
When I’m responsible for my team’s command-line safety, I want to deploy safety standards without micromanaging, so I can protect my team from dangerous commands automatically.
| Attribute | Value |
|---|---|
| Importance | High |
| Frequency | Monthly |
| Satisfaction Gap | Very High |
How users want to feel when doing their work.
Job: Feel confident when running production commands
Pain Point: Anxiety about accidentally breaking things
How caro helps: Deterministic safety validation provides certainty before execution
Job: Feel in control during high-pressure incidents
Pain Point: Stress leads to mistakes, mistakes make incidents worse
How caro helps: Fast, offline-capable assistance when you need it most
Job: Feel competent despite not memorizing every flag
Pain Point: Imposter syndrome when forgetting basic commands
How caro helps: Natural language interface lets you focus on intent, not syntax
Job: Feel secure working in restricted environments
Pain Point: Other tools require internet, leaving you stranded
How caro helps: Bundled model works where nothing else can
How users want to be perceived by others.
| Job | Context | How caro helps |
|---|---|---|
| Be seen as careful and professional | Team environments where mistakes are visible | Visible safety validation shows diligence to colleagues |
| Be seen as the person who prevents incidents | Engineering teams that value reliability | Catches dangerous commands before they cause problems |
| Be seen as security-conscious | Organizations with compliance requirements | Offline operation and zero telemetry satisfy security teams |
Events that cause users to actively seek a solution:
What users measure success by (Outcome-Driven Innovation format):
| Outcome Statement | Metric | Without caro | With caro |
|---|---|---|---|
| Minimize the time to validate a command is safe | Seconds from command to verdict | 30-60s (manual review) | <100ms |
| Minimize likelihood of running destructive commands | Dangerous commands executed/month | Varies by vigilance | Zero (blocked) |
| Minimize time to get a working command | Seconds from intent to command | 2-5 min (Google + trial/error) | <2s inference |
| Minimize dependency on network connectivity | % functionality available offline | 0% (cloud AI tools) | 100% (bundled) |
| Minimize cross-platform debugging time | Time debugging BSD vs GNU | 15-30 min per issue | Zero (platform-aware) |
What solutions users “fire” when they “hire” caro:
Step-by-step breakdown of the core job:
graph LR A[1. Define] --> B[2. Locate] B --> C[3. Prepare] C --> D[4. Validate] D --> E[5. Confirm] E --> F[6. Execute] F --> G[7. Verify]| Step | Action | Example | caro’s Role |
|---|---|---|---|
| Define | Decide what action to take | ”I need to delete old log files” | Understands natural language intent |
| Locate | Identify what to operate on | ”Files older than 30 days in /var/log” | Generates correct find/date syntax |
| Prepare | Formulate the command | find /var/log -mtime +30 -delete | Creates platform-correct command |
| Validate | Check command is safe | ”Is this going to delete something important?” | Matches against 52+ dangerous patterns |
| Confirm | Make go/no-go decision | Safe verdict gives confidence to proceed | Clear safety status with explanations |
| Execute | Run the command | Press enter with confidence | Optional: direct execution with safety gate |
| Verify | Confirm expected result | Check files were deleted correctly | Can generate verification commands |