JYNXIntelligence is generic. Problems aren’t.
An Augment is JYNX pointed at one meaningful business problem — with the company context, the relevant systems, the judgment boundaries, and the evidence that problem demands.
JYNX is the intelligence. Augments point it at problems. Products are Augments, packaged.
What an Augment brings to a problem.
The point is not a marketplace of disconnected AI tricks. Every Augment makes the same underlying intelligence better able to understand and carry one kind of work — without fragmenting the experience into another pile of point tools.
Context
What your company knows — customers, pricing, history, constraints — attached to the work.
Systems
The CRMs, spreadsheets, inboxes, and records that already contain the truth about the problem.
Persistence
Work that continues toward the outcome — beyond the first answer, tool call, or alert.
Boundaries
Explicit lines for what needs human judgment, approval, or authority before anything moves.
Evidence
Proof of what actually happened, kept with the outcome — and fed back into the next pass.
Three ways the intelligence works.
Every Augment draws on the same three capabilities. What changes is the problem they’re aimed at.
Research
Continuously discover, verify, compare, and synthesize evidence around the outcome your team is trying to reach.
Operate
Move recurring work across the systems your team already uses, while keeping authority and approvals visible.
Learn
Test approaches, measure the result, preserve the evidence, and turn useful outcomes into stronger operating behavior.
The first Augment shipped as a product.
Margin Guard points the intelligence at job profitability — the margin quietly lost between the estimate and the final invoice.
Explore Margin Guard →