1 Prompt design & authoring
Prompt types
System prompts
Task prompts
Few-shot examples
Chain-of-thought
Tool-use prompts
Design patterns
Role assignment
Persona definition
Output format spec
Constraint injection
Context windowing
Domain prompts
Credit analysis prompt
Dispute generation
Financial advice
Risk assessment
User onboarding
Safety layers
Refusal boundaries
Legal disclaimers
PII handling rules
Hallucination guards
Tone constraints
Composition
Modular blocks
Template inheritance
Dynamic sections
Conditional logic
Variable injection
2 Template management & versioning
Template registry
Central prompt store
Namespace: agent/task
Searchable catalog
Ownership tracking
Usage analytics
Version control
Semantic versioning
Git-backed history
Diff visualization
Rollback support
Branch per experiment
Variables & context
{{user_profile}}
{{credit_data}}
{{conversation_history}}
{{tool_results}}
{{guardrail_rules}}
Rendering engine
Jinja2-style templates
Token counting
Context truncation
Priority ordering
Max token budget
Access control
Team ownership
Review required
Approval workflow
Audit trail
Environment gates
3 A/B testing & optimization
Experiment setup
Hypothesis definition
Traffic split config
Control vs variant
Duration planning
Success criteria
Evaluation metrics
Task success rate
Response quality (1-5)
Token efficiency
Latency impact
User satisfaction
Auto-optimization
DSPy optimization
Prompt compression
Example selection
Instruction tuning
Multi-armed bandit
Model comparison
Claude vs GPT eval
Cost/quality tradeoff
Model-specific tuning
Fallback hierarchy
Capability matching
Results analysis
Statistical significance
Confidence intervals
Segment analysis
Winner declaration
Auto-promote winner
4 Deployment & runtime execution
Deployment pipeline
Dev → staging → prod
Canary rollout (5%)
Automated eval gate
Rollback trigger
Feature flag control
Runtime assembly
System + task compose
Context injection
Tool definitions add
History append
Token budget enforce
Caching
Prompt prefix cache
Semantic cache (sim.)
Response cache
Template pre-render
KV cache warm-up
Agents using prompts
Prael (conversational)
Credit Builder (task)
Remittance (flow)
Dispute (generation)
Onboarding (guided)
Cost optimization
Token minimization
Model tiering
Batch where possible
Cache hit ratio: 34%
Avg saving: 22%
5 Monitoring & prompt governance
Quality monitoring
Success rate tracking
Failure pattern detection
Drift alerting
Regression detection
User feedback loop
Governance rules
No financial advice
Required disclaimers
PII never in prompt
Audit all changes
Quarterly review
Prompt security
Injection detection
Leakage prevention
System prompt guard
Input sanitization
Extraction resistance
Improvement cycle
Weekly prompt review
Failure triage
Community patterns
Research integration
Benchmark updates