I Have Some Questions...
Erik and Justin talk through why AI agents get stuck when teams cannot articulate how work is done, and why the answer is iterative agent deployment with guardrails, sandbox testing, and ongoing process refinement. 🧭 Conversation Highlights * Most professionals struggle to explain the steps of their work, which blocks automation and agent adoption. * Agents feel hard to hand off to because people fear losing control, making mistakes, or looking foolish. * A practical path forward is iterative process creation: give an agent the goal, tools, and guardrails, then tighten the workflow based on outcomes. * To make iteration safe, teams need preview or sandbox testing plus limits on real-world actions and token budgets to avoid runaway usage. 💡 Key Takeaways * AI adoption is shifting from “AI literacy” to “how to build and govern agents,” so companies need shared understanding beyond IT. * Iterative deployment works better than trying to hard-code every step upfront, but it requires verification checkpoints and process feedback loops. * Sandbox or preview environments are critical for low-risk learning before enabling agents to take real actions. * Token spend should be treated as governance: set budgets and limits per user/team, and track usage in a way leaders can understand. ❓ Questions That Mattered * How do we automate work we cannot clearly describe step-by-step without stalling adoption? * What guardrails let humans feel safe handing tasks to agents, including security, safeguards, and action approvals? * Is there a practical way to test agent workflows in “failure-free” conditions before going live? * When iteration causes back-and-forth, how should companies think about token efficiency and budget controls? 🗣️ Notable Quotes * “It’s hard to automate what you don’t already know how to do.” * “The majority of people have a really hard time articulating precisely how they perform a task.” * “Understanding the tool and technology, and knowing what it can and cannot do, really creates a safer environment.” * “It’s taking our typical structure. You watch how they work and adapt to that.” 🔗 Links & Resources * Listen To Other Episodes Co-Hosted With Justin [https://www.google.com/url?q=https://podcast.languageofleadership.io/categories/i-have-some-ai-questions-with-justin-coats/&sa=D&source=editors&ust=1783541882324986&usg=AOvVaw3cPDGHMfUE2VtEJraxNcHR]
194 episodes
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