29:14AI for Leadership at Heart & Soil with Dean Brennan
Dean Brennan shares how Heart & Soil used an internal AI system to examine leadership behavior and identify constraints behind missed targets. The session focuses on context, accountability, and building useful internal systems.
Watch it. Put it to work.
Look for the constraint beneath the metric.
Dean Brennan shares how Heart & Soil used an internal AI system to examine leadership behavior and identify constraints behind missed targets. The session focuses on context, accountability, and building useful internal systems.
For ecommerce founders, marketers, and operators working on ai & automation.
- Speaker
- Dean Brennan
CEO, Heart & Soil - Recorded at
- Austin 2026 ↗
April 2026
Speaker roles and platform examples reflect the session’s original context. This is an archived conversation.
Ideas to put to work.
- 01
Look for the constraint beneath the metric
Use business context to examine leadership patterns as well as marketing tactics.
Read this part · 00:00 ↓ - 02
Turn feedback into accountable action
Review commitments, ownership, and open loops instead of treating an AI score as the end result.
Read this part · 11:31 ↓ - 03
Build context before automation
Start with a clear purpose and a manual workflow before connecting everything.
Read this part · 20:00 ↓
The edited transcript.
A condensed, edited reading version based on the YouTube captions and session chapters. Repetition and unclear audience audio have been removed; the discussion is paraphrased for clarity, rather than presented as a verbatim transcript. Timestamps refer to the original video.
Original recording on YouTube ↗Look for the constraint beneath the metric
Dean describes a period of missed acquisition targets that prompted him to turn AI inward. His system reviewed internal working context to surface patterns in leadership and communication. The exercise reframed the problem from simply finding another marketing tactic to understanding behaviors that were constraining the team.
Turn feedback into accountable action
The first leadership scorecard was uncomfortable, but that reaction became part of the lesson. Dean describes using recurring reviews to examine whether actions matched commitments. The value came from changing behavior and following through, not from collecting a flattering assessment or treating the model as an unquestionable authority.
Build context before automation
Dean recommends defining what the system is meant to accomplish and getting the context and standards right first. He manually processed information before adding automation. Keeping ownership of the underlying data also matters, so that the usefulness of the system does not depend entirely on one model provider.
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