My agents asked the same prospect the same question twice in one week, so I traced a week of their messages. Here's what happened
Summary
A developer traces a week of messages from AI agents after they asked the same prospect the same question twice, revealing insights into agent coordination issues.
Similar Articles
Agent followup and verification issues
A user describes the problem of AI agents not reporting back after being given tasks and asks the community for solutions and handling methods.
I built a lead qualification agent that asks 5 questions, sends hot leads to Slack, and ignores the rest. Here’s what broke first.
A developer shares practical lessons from building an AI lead qualification agent, highlighting that the hardest issues were not AI-related but involved vague answers, routing logic, Slack noise, CRM structure, and handling low-fit leads.
Eight months ago, I posted about receiving my first AI cold call.
Eight months after receiving a flawed AI cold call, the author's own AI voice agent naturally handled a call from another AI agent — a real-world buyer's agent asking about specific NVMe drives. The incident highlights rapid progress in AI agent communication and raises legal questions about the EU AI Act's transparency rules for machine-to-machine calls.
A client asked me to build an "agent" that makes their weekly decks. It was three connector steps and one API call.
The author recounts a client request for an AI agent to build weekly campaign decks, which turned out to be overkill; they implemented a simple scheduled connector pulling fixed metrics into a template via an API call, arguing that deterministic pipelines often deliver more value than autonomous agents when the output structure is constant.
Speed to lead agents: what's actually working in production?
A practitioner asks for real production experiences with AI agents for lead response, including stack choices, contact rate improvements, handoff design, and failure modes.