Vibe, Buy, or Automate? Deciding How to Build AI Agents

We discuss a framework for organizations deciding to buy, build, or vibe AI agents. Key factors included data availability, risk levels, and governance to prevent unregulated AI use. The panel emphasized the distinction between automations and true AI agents, suggesting clear guidelines for development. Chapters

(00:00:00) - Technical Start & Episode Introduction
(00:01:07) - Research Background: AI Agent Sprawl
(00:04:40) - Decision Framework: Deterministic vs Judgment-Driven Agents
(00:07:26) - Greg Hack Introduces Risk and Shadow AI Concerns
(00:10:43) - Tokenization, Accountability and Value as Control Levers
(00:14:00) - Joe's Three Questions: Clarity, Stability, Ownership
(00:15:42) - Joanne's Framework: Known Paths vs Judgment and Exceptions
(00:19:10) - Low-Level Agent Examples and Personal Use Cases
(00:20:42) - Martin: Structured AI vs Shadow AI Risk
(00:22:49) - Dangerous Gray Areas in AI Data Governance
(00:24:49) - John's Work: AI Coaching and Hybrid Agent Futures
(00:27:15) - Upcoming Coffee Hour Topics and Schedule
(00:28:51) - Greg's Four Questions: Buy, Vibe, Build, Hybrid
(00:34:12) - When Build Makes Sense: Process Complexity and Choreography
(00:38:17) - John on Spec-Driven Development vs Vibe Coding
(00:43:33) - Department of Know: Case-by-Case Governance Decisions
(00:48:37) - Liz on Shadow AI Value and Governance Allocation
(00:51:19) - Martin on Historical Chaos (VBA) and AP Automation Example
(00:53:58) - Controlling Chaos: Guardrails, Strategy, and Reuse
(00:57:02) - Closing: Who Owns AI Agents & Wrap-Up

Denne episoden er hentet fra en åpen RSS-feed og er ikke publisert av Podme. Den kan derfor inneholde annonser.

Episoder(44)

Change Management: Why AI Adoption Stalls and How to Measure Progress

The episode highlights challenges in AI adoption among employees, with few reporting significant changes in work processes. Key issues include lack of workflow redesign, unclear business strategy alig...

9 Okt 1h 3min

Getting Hired in the AI Era: Stand Out, Signal Judgment, Land the Role

Isaac led a discussion focusing on strategies for job seekers in the AI era, highlighting the importance of standing out, signaling judgment, and landing roles. Panelists emphasized showcasing AI expe...

28 Sep 1h 3min

Tech Budget 2027: What AI Bets to Fund + IT/Security to Protect

We focused on technology budget planning for 2027, particularly AI funding strategies. Host Isaac Sacolick led a discussion with panelists on prioritizing AI initiatives, emphasizing strategic clarity...

21 Sep 1h 1min

The Hidden Cost of Confident AI: Semantics, Guardrails, and the Context Layer

The discussion led by Isaac Sacolick focused on AI challenges, particularly the "hallucination tax," emphasized by Felix Van de Maele, CEO of Collibra. Contributors highlighted the importance of gover...

14 Sep 1h

SaaS, Cloud, and AI Contracts: Where Technology Leaders Lose Leverage

The 186th episode of Coffee with Digital Trailblazers focused on negotiation tactics for SaaS contracts. Key topics included competitive bidding, avoiding auto-renewals, and ensuring data ownership. M...

31 Aug 1h 2min

Shadow AI at Work: Real Risks, Practical Guardrails, Hidden Innovation

The real risks and practical guardrails around shadow AI, which goes beyond traditional shadow IT with new risks including data leakage, agentic AI poor decisions, and potential legal compliance issue...

24 Aug 1h 1min

Beyond Legacy Processes: Engineering the High-Velocity Enterprise

The session sponsored by Camunda, featuring CTO Daniel Meyer, focused on transforming legacy business processes for high-velocity enterprises in the AI era. Meyer highlighted the advantages of orchest...

17 Aug 1h 1min