Can you clearly explain and safely adjust how your GenAI tools behave in production?
Explainability and customization are foundational for scaling tool-calling into critical workflows, but naive trace logs and ad hoc configs quickly become brittle, opaque, and hard to govern.
To win, your GenAI solutions need to make tool behavior transparent, explainable, and safely configurable.
The Challenge
Without a strong approach to explainability and customization, teams struggle to:
- Interpret noisy traces that only a few engineers can read.
- Provide stakeholders and auditors with clear, persona-appropriate explanations.
- Change configuration and policies without risking regressions or incidents.
Explainability and customization gaps will erode trust, slow adoption, and increase operational and compliance risk.
Our Solution
In this hands-on workshop, your team turns raw tool traces into explainable narratives and config-driven behaviors using curated notebooks, dashboards, and policy patterns. Areas of focus include:
- Trace Narratives — Turn low-level logs into step-by-step execution stories anyone can follow.
- Persona-Specific Views — Design explanation views tailored for users, engineers, and auditors.
- Config & Policy Controls — Govern tool behavior with configuration, feature flags, and policy checks instead of code changes.
- Interactive Labs & Dashboards — Explore real traces in notebooks and observability dashboards to practice incident triage.
- Capstone & Live Coaching — Build an explainability and customization layer for a representative tool flow with expert feedback.
Skills You'll Gain
- Explainable Tool Behavior — Clearly show what happened, why, and which configs or policies drove decisions.
- Safer Change Management — Roll out and roll back configuration, feature flag, and policy changes with confidence.
- Faster Incident Resolution — Use narrative views and dashboards to pinpoint issues quickly.
- Audit-Ready Views — Provide persona-aware explanations that satisfy governance, risk, and compliance needs.
- Scaled Tool Governance — Embed explainability and customization patterns into your broader GenAI platform.
Who Should Attend:
Solution Essentials
Format
Virtual or in-person
Duration
4 Hours
Skill Level
Intermediate Python and GenAI experience recommended
Tools
Jupyter notebooks, tracing and logging dashboards, configuration and policy templates
Explore the Remaining Advanced GenAI Tools Certification Workshops
Help your teams master advanced GenAI Tool concepts and solutions. Click below to explore the remaining workshops in the Advanced GenAI Tools certification series.
Orchestration & Control
Monitoring, Reliability & Change Management
MCP & Model + Tool
Co-Processing
Co-Processing
Self-Tuning / Adaptive Tool Invocation
Tool Cost & Resource Optimization