Contact

Contact Mindburn Labs.

Tell us what boundary, receipt, approval, evidence, investment, or accelerator question you are trying to resolve. We reply selectively and personally.

contact@mindburn.org

Good fit: HELM evaluations, agent systems that need evidence, and investor or accelerator conversations grounded in public proof.

Routing

Serious inbound has a concrete boundary.

The best contact notes name the action surface, the tools involved, and what needs to be allowed, denied, escalated, or proven.

Builder

I build AI systems and want to use HELM.

You are building agents or tool-calling systems and need an execution boundary.

Good inbound: A concrete integration, repo, workflow, or tool-call path you want to govern.

Filtered out: General AI product pitches without a boundary, receipt, or policy problem.

Investor / accelerator

I am an angel, VC, or accelerator.

You want to evaluate Mindburn Labs as an early-stage company: wedge, proof, founder velocity, market timing, and sequencing.

Good inbound: Your firm or program, stage focus, relevant thesis, check-size range if applicable, and what you want to inspect first.

Filtered out: Automated outreach, generic fundraising services, or requests for unsupported traction claims.

Operator

I run workflows where agents touch tools, data, or infrastructure.

You operate a workflow where autonomous actions need approval, denial, or evidence.

Good inbound: A real workflow with specific tools, data classes, approval thresholds, or failure modes.

Filtered out: Broad transformation requests without a concrete action surface.

Press

I am press / media.

You need a clear explanation of Mindburn Labs, HELM, or the execution-control category.

Good inbound: Specific questions, deadline, publication, and which public artifact you are referencing.

Filtered out: Requests for unsupported claims, customer lists, or private internal systems.

Research

I am interested in research or collaboration.

You want to discuss execution receipts, fail-closed control, or proof for AI actions.

Good inbound: A paper, protocol question, test harness, or research thread tied to governed execution.

Filtered out: Unrelated guest posts or unsourced market reports.

Assistant