The one-page summary. Project boundary, sampling design, baseline metrics, methodology fit, and risk tier across the project. The page you can share with buyers and verifiers before they dig into the rest.

The full baseline picture. Soil carbon stocks, biology profile, water chemistry, vegetation, biodiversity, input history. The data your future credits get measured against.

The four diagnostic domains, each broken out with measured values, reference ranges, deviation flags, and contextual interpretation. Verifier-ready charts, audit-ready data tables.

The audit-defense section. Sampling methodology, lab chain of custody, QA/QC protocols, statistical confidence, and protocol-specific compliance notes. Built so your verifier opens it, nods, and moves on.

The cross-domain story. Where soil chemistry constrains biology. Where biology constrains carbon flux. Where input choices undercut practice changes. Why your project is performing how it is, in plain language and with the data behind it.

The practice change recommendations. What to adjust to maximize carbon flux, defend additionality, stack co-benefits, and align with your target protocol. Specific. Sequenced. Costed at high level.

The multi-year frame. What we expect to move between re-tests. What thresholds trigger adjustments. What the credit issuance timeline looks like if everything performs to projection. Set up so you and your buyers can hold the project to its own predictions.