Tarık Şenkal Agents
6 posts
Agents6 minMulti-Agent Systems: 15× the Tokens, 90% Better — Which One Is You?
When multi-agent architectures win and when they burn money: reconciling two primary sources, the token multiplier, failure modes and a concrete decision table.
Agents6 minAgent Memory Systems: What Lives Outside the Context Window
How agent memory actually works: episodic, semantic and procedural stores, a real pgvector schema, the tool landscape, and controls against memory poisoning.
Agents7 minTaking AI Agents to Production: The Demo Works — Does the System?
What it takes to run an AI agent in production: timeouts, idempotency, circuit breakers, prompt versioning, canary rollout and cost per successful task — with code.
Agents7 minComputer-Use Agents: The 60-Point Gap Between Demo and Production
How computer-use agents actually work: the 83.5% vs 20.6% benchmark gap OSWorld 2.0 exposed, the perceive-ground-act loop, grounding traps and the security model.
Agents2 minAutonomous Agent Architectures: Plan-and-Execute, Agent Fleets and the Cost Reality
Agents are more than a single loop. ReAct, plan-and-execute, supervisor-worker patterns, heterogeneous model use, and how to keep cost under control across agent fleets.
Agents3 minAgent Evaluation: How Do You Measure a Multi-Step System?
Evaluating an agent is not the same as scoring one answer. Task success, step quality, tool choice, cost and robustness testing in a practical agent evaluation framework.