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Agent district

Dexter

Dexter is the Labs leader for Lambda Curry Labs. He guides experiment design, enforces kill criteria, and advises the founding team on project selection and sunset decisions β€” Jake and Derek hold final say on financial/strategic commitments β€” so the team can test ideas without pretending every one deserves to become a product.
Validated Β· Oct 6, 2026Revalidated on October 6 against Dexter's registry role and surfaces β€” including the registry's Dexter authority line: he advises the founding team, and Jake and Derek hold final say on financial/strategic commitments β€” plus the Labs workflow trace, the capabilities page agent directory, and the home page Labs lane entry.
Current snapshot
  • Primary job: Turn rough ideas into bounded experiments with clear hypotheses, success signals, and kill criteria.
  • First split: Dexter designs and assesses; Buzz distributes and finds audiences.
  • Best use: Open this page when the question is how Labs tests ideas, what kill criteria means, or when to engage the Dexter + Buzz lane.
Best first stop

Dexter is the Labs experiment leader

Use this district when you need to understand how Lambda Curry Labs tests product ideas β€” from hypothesis through honest assessment β€” without pretending every idea deserves to become a product.
Active β€” Labs experiment leaderDexter is the Labs leader for Lambda Curry Labs. He operates on direct surfaces (Slack, Notion, CurryChat) to shape ideas into bounded experiments, coordinate distribution with Buzz, and advise the founding team on evidence-based continue/pause/sunset calls β€” Jake and Derek hold final say on financial/strategic commitments.β€’Updated Oct 5, 2026

Reader orientation

Use this page when you need to understand how Labs tests product ideas β€” from hypothesis through honest assessment β€” with kill criteria set before the experiment starts.

What changed recently

Compact updates that help a reader place this agent in the current network story.

  • Aug 8Β·Dexter district page created following the established PageHero/PageSection/RouteRow pattern.
Experiment model

Every experiment ships with a hypothesis, a success signal, and a kill criteria line

Dexter's methodology is simple: no idea earns Labs time until it can answer three questions β€” what hypothesis, what signal, what shutdown condition.
Every idea becomes a bounded experiment

Dexter rejects vague momentum. A candidate idea must become a bounded experiment with a clear hypothesis, success signal, and next decision gate before it earns build time.

Core methodology

The question Dexter forces: What specific hypothesis are we testing, what signal proves it wrong, and what decision follows?

Kill criteria are set before the experiment starts

Every experiment ships with an explicit shutdown condition defined upfront. No experiment runs without a kill criteria line that names when to stop.

Kill criteria

Example: "If no measurable improvement after 10 new hires, sunset the experiment." This prevents sunk-cost momentum from keeping dead ideas alive.

Honest assessment over celebration

When results return, Dexter's job is not to celebrate β€” it is to assess honestly. Did the hypothesis hold? Did the success signal fire? Should this continue, pause, or sunset?

Assessment

The assessment produces one of three explicit recommendations: continue (scale up), pause (iterate on the design), or sunset (kill the idea and document what was learned). Jake and Derek hold final say on the financial/strategic commitment.

CurryChat carries the Dexter ↔ Buzz handoff

Dexter and Buzz still pair on every Labs experiment β€” CurryChat is their shared direct surface. Dexter works Slack, Notion, and CurryChat directly; Buzz's registry lanes are Bridge + CurryChat.

Boundary

This keeps Labs collaboration lightweight while staying honest about transport: the Dexter β†’ Buzz experiment handoff lands on CurryChat, and Buzz's network-side work (the Budgets social loop) rides Bridge.

Labs workflow

The Dexter + Buzz Labs experiment lifecycle

Dexter and Buzz operate as a pair on the Labs lane. Dexter designs the experiment; Buzz finds the audience and runs distribution; results return to Dexter for the honest assessment that informs the founding team's continue/pause/sunset call.
Hypothesis & experiment design

Dexter takes a rough product idea and shapes it into a falsifiable hypothesis with a clear question, success metric, and kill criteria β€” before any code is written.

Design

Example: "New hires will complete onboarding 40% faster with an AI-generated personalized checklist." Success signal: time-to-first-PR reduced from 5 days to ≀3 days across a 2-week cohort.

Buzz distribution handoff

Once the experiment plan is validated, Dexter routes it to Buzz for distribution design. Buzz finds the audience and designs the distribution experiment.

Handoff

This handoff lands on CurryChat β€” the pair's shared direct surface. Buzz's network-side lanes, including the Budgets social loop, ride Bridge.

Evidence-based assessment

Results flow back to Dexter. The assessment is honest: did the hypothesis hold, did the success signal fire, and what is the explicit continue/pause/sunset recommendation?

Decision gate

Dexter's assessment goes back to the team via CurryChat or Slack. The recommendation is explicit and documented β€” not buried or implied β€” and the founding team makes the final call.

Network relationships

Dexter becomes clearer when you keep Labs neighbors in view

Use these edges when the question is no longer about experiment design itself, but about who should distribute, build, or govern the next move.
Buzz

Dexter's distribution counterpart. Buzz finds audiences, designs distribution experiments, and sharpens messaging β€” then returns results to Dexter for honest assessment.

Open Buzz
Clawdy

Clawdy can route Jake-facing questions about Labs priorities, experiment status, or idea intake into the Dexter + Buzz lane.

Open Clawdy
Scout

When Dexter's experiments harden into real build work, the execution handoff can move through Scout's charter cycle for bounded delivery.

Open Scout
Atticus

Atticus becomes relevant when an experiment raises governance, policy, or architectural questions that exceed Labs experimentation scope.

Open Atticus