Advisors who build
An applied research lab & venture studio focused on learning before scaling.
We build and test small, functional systems to understand what holds up in practice—before ideas turn into products, or businesses.
Our Core Idea
Only by our actions and ongoing effort can we guide the ways AI shows up in our work and lives. ​
How this works in practice
Moth Labs is a working environment for reducing uncertainty through action.
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Our focus is not speculation or scale, but learning: using fast, targeted builds to surface constraints, expose failure modes, and understand how technology actually behaves inside organizations.
We operate between research and real-world application, using hands-on building to surface constraints early and improve decision making downstream.
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The work takes two primary forms: Lab and Studio.
The Lab
The Lab is where questions are tested.
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Work here is exploratory and intentionally constrained—we run focused experiments using fast prototyping to test strongly held hypotheses, examining specific assumptions and expected behaviors. The goal is clarity, not completion.
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Not everything leaves the Lab.
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That’s the point.
The Studio
The Studio takes the winners from the Lab, successfully emerge from Lab work—tools, systems, and frameworks shaped by direct use and observed behavior.
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The Studio is where ideas with signal are developed further.
Studio work focuses on shaping minimum viable products, business models, and market hypotheses—testing whether something is worth taking into the world, or pursuing more seriously.
Studio projects reflect higher intent than Lab experiments, but remain grounded in learning, not premature certainty.
Selected Projects
Brand Positioning Audit
Archived
What can AI do with just a URL? Our Brand Positioning Audit project proved it can grade brand clarity, audience fit, and value props instantly—yet revealed that snapshots without deeper longitudinal data feel thin, steering us toward richer, context-grounded tools. Read about this experiment and testimonials.
Lamina – AI Strategy Engine
Building
Lamina pulls scattered campaign data into a single AI-native engine that forecasts KPI ranges, cites past performance, and simulates future scenarios. Mid-market marketers receive clear, actionable briefs in hours, replacing week-long manual analysis and guesswork with fast, evidence-backed, trusted plans.
Pamela – Integrator-in-Code
Proposed
Pamela is an Integrator-in-code for visionary founders lacking an operational partner. Its Predictive/Recovery Brain previews, executes, and rolls back tasks safely, turning strategy into disciplined action so solo entrepreneurs can iterate faster, launch, and scale without assembling a full team.
Counsel & Advisory
Insights from the Lab and Studio inform advisory work with founders, operators, and teams navigating ambiguity around technology, execution, and organizational change.
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This offer lives downstream of the work—not as opinion, but as applied experience.
Why Moth Labs
Moth Labs exists to learn what matters before it’s too expensive to be wrong.
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We build first.
Everything else follows.