cuddly-waffle

Build AI/LLM applications with practical implementation patterns for prompts, tools, sessions, structured output, and app wiring.

Foundational AI/LLM application design principles. Use when defining core behavior, interfaces, safety boundaries, and product expectations for model-backed systems.

Operate AI/LLM systems in production or active development with a focus on diagnostics, rollout discipline, and runtime stability.

Review AI/LLM applications for behavioral correctness, safety boundaries, observability, reliability, and maintainability. Use for architecture review, implementation review, and pre-release assessment.

Advanced AI/LLM system specialization for complex agent behavior, product constraints, and cross-cutting architectural decisions.

Build API contracts and implementation shapes for reliable integrations.

Foundational API design principles for clear contracts, evolvability, and operational fit.

Operate APIs through change management, deprecation, and production feedback.

Review APIs for contract clarity, breaking-change risk, weak semantics, and operational blind spots.

Advanced API design for platform surfaces, complex integrations, and long-lived contracts.

Build backend services with explicit interfaces, state handling, and operational expectations.

Foundational principles for backend service design.

Operate backend services in live environments.

Review backend services for contract weakness, failure handling gaps, and scaling risk.

Advanced backend service architecture and runtime tradeoff design.

Build community communications, moderation workflows, and engagement structures.

Foundational community management principles.

Operate community-facing workflows and moderation cycles.

Review community workflows for tone mismatch, moderation gaps, and unhealthy engagement incentives.

Advanced community operations and engagement design.

Build compliance-aware workflows, controls, and documentation structures.

Foundational compliance and operational risk principles.

Operate compliance-sensitive processes and control evidence.

Review systems and workflows for compliance gaps and weak controls.

Advanced compliance and risk framing for sensitive operational environments.

Build content plans, articles, campaign assets, and editorial structures.

Foundational content marketing principles.

Operate content workflows across planning, publishing, and iteration.

Review content marketing work for weak audience fit, generic positioning, and poor conversion alignment.

Advanced content strategy and campaign design.

Build support workflows, response patterns, triage logic, and escalation paths for technical products.

Base support principles for issue handling and communication.

Operate support interactions in live workflows.

Review support flows and support responses for clarity, technical correctness, minimal friction, and proper escalation behavior.

Advanced customer support strategy for complex technical products.

Build data pipelines, transformation workflows, and quality-aware data flows.

Foundational data engineering principles for pipelines, transformations, quality, and lineage.

Operate data pipelines and monitor freshness, failures, and drift.

Review data systems for quality risk, schema drift, lineage gaps, and operational fragility.

Advanced data engineering for large pipelines, lineage, quality enforcement, and model-feeding data systems.