While loops with tool calls

What It Covers

Jared Zoneraich from PromptLayer explains how AI development has evolved from complex prompt chains to simple while loops with tool calls, enabling more autonomous agents.

Key Questions Answered

• •Context Engineering: Models now handle unlimited context length, requiring strategic information placement to prevent distraction rather than complex prompt chains with multiple sequential calls.
• •While Loop Architecture: Replace structured DAGs with simple loops where AI agents continuously call tools, check results, and iterate until completion, mimicking human problem-solving approaches.
• •Agent Testing Strategy: Use "smell tests" - monitor tool call frequency, retry counts, and execution time as heuristics rather than pursuing perfect test coverage for flexible agents.
• •Domain Expert Integration: Successful AI implementations require collaboration between engineers who understand shipping products and domain experts who recognize quality outputs for specific use cases.