Evaluate
Representative cases, failure taxonomy and task-level success measures.
Practice 02 / Agent systems
GÜRAY YILDIRIM / INDEPENDENT PRACTICEI help companies choose the right workflow, build a bounded pilot and create the evaluation, permission, escalation and cost controls needed to operate it responsibly.

Tool use passes through explicit gates. Uncertain work stays observable. Every path has a stop condition.
Before model selection
Agents are useful where context, judgment and tool choice vary. Stable rules and predictable paths often belong in deterministic software. The design begins with that distinction.
If completion cannot be measured, evaluation becomes opinion.
Permissions should match a bounded task, never the model's theoretical reach.
Reversible work can allow more autonomy than financial, legal or production changes.
Human review is part of the workflow, not a fallback added later.
Cost per successful task matters more than cost per token.
Representative cases, failure taxonomy and task-level success measures.
Least-privilege tools, approval gates, budgets and explicit stop conditions.
Traces, tool calls, latency, cost and enough context for diagnosis.
Clear paths to a person when confidence, scope or risk crosses a threshold.
Focused engagements
For a company with one promising, bounded workflow and a real baseline for the current process.
For an existing agent that works sometimes but is expensive, inconsistent or hard to govern.
For teams that need a reusable way to evaluate, authorize and observe multiple agent workflows.
Start with the real problem
Bring the current process, its volume, failure cost, data boundary and what a good completion looks like. The first job is deciding whether an agent belongs there.