why primal

Useful verification needs
evidence and context.

Find the evidence.

Understand the context.

Make the decision.

Why build with Primal?

Make the review easier to resolve.

Make the conditions explicit.

Connect the sources, definitions, and rules that apply.

Keep the basis inspectable.

See supporting passages, conflicts, and unresolved interpretations.

Build on maintained capabilities.

Reuse Primal's engine and skills, with updates and technical support.

Where primal fits

Build trust into how it works.

observability & review

See what happened.

Inspect activity and outputs.

Find issues and investigate results.

Primal

Shape how work is done.

Use the organization's chosen sources and rules.

Resolve meaning and apply relevant conditions.

Build in source traces and checks.

Agent frameworks & controls

Run the workflow.

Coordinate models, tools, and actions.

Enforce permissions and approval steps.

These roles overlap and complement each other. Primal works alongside your orchestration, security, and review tools.

The economics of checking

AI saves time.
Rework takes some of it back.

Checking and repairing AI output consumes professional time.

Nearly 40% of AI time savings lost to rework.

Correcting, rewriting, and verifying AI output

Study scope

12.9 hours a week in finance.

Reconstructing, validating and defending AI output. Sage / IDC.

Study scope

Roughly 4.5 hours a week revising or redoing AI output.

AI cleanup reported by respondents to Zapier’s survey.

Study scope

Vendor-sponsored surveys; different populations and measures. These are industry findings, not Primal savings.

Start with one workflow.

Evaluate professional work against your selected sources.

Expertise, applied.
Across your work.

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