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PENGO Workbench
AI hallucinating? Bugs everywhere? Context disappearing?
Sometimes the model failed. Often, the input made it guess.
Workbench helps inspect shallow, overloaded, missing, or unclear input structure before you blame the model.
Workbench paths
Surface missing, unclear, ambiguous, unstated, conflicting, incomplete, or implied parts of an ask.
Map Explore ResultsTurn controlled Check Input gaps into inspection lanes and related Workbench references.
Find SearchSearch Issues, AI-Adjacent Issues, Patterns, Lenses, names, codes, and terms.
Lens Application
Patterns and Lenses now include applied notes showing how a lens helps inspect a specific pattern.
Expand Lens Application markers on Pattern and Lens pages.
Common Issues
AI Adds Work Not Requested
The AI adds tasks, steps, analysis, checks, changes, or follow-up work that the user did not ask for.
Prompt Has Too Many Valid Interpretations
The prompt allows too many reasonable interpretations, causing the AI to choose among valid paths without enough guidance.
Task Has No Clear Limit
The task does not declare where the AI should stop, what is out of scope, or what counts as enough work.
Tool Result Not Integrated Correctly
The AI receives a tool result but misreads, ignores, overwrites, misplaces, or fails to incorporate it correctly.
Output Breaks the Next Step
The AI output looks acceptable by itself but cannot be used by the next tool, workflow step, parser, reviewer, or downstream consumer.
Reference Library
Issues
Visible failure surfaces users may experience or search for.
AI-Adjacent Issues
Problems that may look like AI failures but involve tools, apps, permissions, configuration, or integrations.
Patterns
Structural forms used to inspect why visible failure surfaces appear.
Lenses
Diagnostic views for inspecting structure without treating the reference as a final diagnosis.