AI
AI Agent Tracing: How to Design End-to-End Agent Traces
A useful trace should explain what an agent did, why it did it, and where the workflow spent time.
IndieFounder publication
Practical stories, product lessons, teardowns, and field notes for independent founders.
AI
A useful trace should explain what an agent did, why it did it, and where the workflow spent time.
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AI
A useful trace should explain what an agent did, why it did it, and where the workflow spent time.
Product & SaaS
Define the smallest workflow that proves the customer outcome. Everything else belongs behind evidence.
AI
On 5 October 2026 Wikimedia said OpenAI-linked agents edited wikis, probed a public pad, and may have contributed to a May query-service outage. Ship the control list before your own agent does the smaller version.

AI
Multi-step agent failures are difficult to reproduce because the final error often hides the earlier decision that caused it.
AI
A production dashboard should answer whether agents are working, becoming expensive, getting slower, or creating risk.
AI
Agent latency is distributed across model calls, tools, queues, databases, and external APIs.
AI
Not every failed agent run has the same cause.
AI
Successful HTTP requests do not prove that an agent completed the right task.
AI
Agent cost is difficult to control when model calls and external services are not tied to individual workflows.
Product & SaaS
Pick boring, well-supported technology that minimizes operational work while leaving room for the product's actual bottlenecks.