agentic-intent-classifier / examples /composed_output_examples.md
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# Composed Output Examples
These examples show the end-to-end flow:
`query -> model_output -> system_decision`
## 1. Informational Awareness
Query:
```text
What is CRM software?
```
Observed behavior:
- classified as `intent.type=informational`
- classified as `decision_phase=awareness`
- fell back because confidence is below the demo threshold
- system decision sets `monetization_eligibility=not_allowed`
Why fallback happened:
- the phase is sensible, but the combined confidence is still too low for monetization decisions
## 2. Commercial Comparison
Query:
```text
Compare AI search monetization platforms for publishers
```
Observed behavior:
- classified as `intent.type=commercial`
- classified as `decision_phase=consideration`
- still falls back due low confidence
- opportunity remains `none` because fallback takes precedence
Why fallback happened:
- the underlying labels are directionally right, but the frozen baseline is intentionally conservative
## 3. Post-Purchase Setup
Query:
```text
How do I set up my new CRM?
```
Observed behavior:
- classified as `decision_phase=post_purchase`
- treated as low-confidence informational setup behavior
- system decision stays restricted
Why fallback happened:
- the system recognizes the lifecycle stage, but confidence is not high enough to remove fallback
## 4. Support / Sensitive
Query:
```text
I cannot log into my account
```
Observed behavior:
- classified as `decision_phase=support`
- intent-type falls into `personal_reflection` in `v0.1`
- fallback applies with `policy_default`
- monetization is blocked
Why fallback happened:
- this is a known limitation of the intent-type head and exactly the kind of case that should fail safe