← Rubrex evaluation

Agentic AI & product engineering

From a working demo
to a working system.

A senior engineering team to build the workflow, connect the tools, and own the delivery. Evaluation, testing, and handoff are part of the work.

A defined outcome.
An accountable team.

Choose a pilot for one production use case, or a pod for an ongoing engineering workstream.

BUILD OR STABILIZE ONE WORKFLOW

Production AI Pilot

Fixed scope · 4–6 weeks

For a validated use case blocked by integrations, reliability, observability, or deployment.

  • Scoped design and written acceptance criteria
  • One AI workflow or customer-facing feature
  • Agreed integrations and evaluation gates
  • Logging, error handling, and deployment
  • Documentation and technical handoff

Third-party costs, broad rewrites, and 24/7 support are excluded. Scope and pricing are agreed before kickoff.

Discuss a pilot

OWN AN ONGOING WORKSTREAM

Engineering Pod

Ongoing workstream · 8-week minimum

For teams with a defined backlog, an internal decision-maker, and a delivery gap.

  • Two engineers with fractional senior technical leadership
  • A named pod and clear workstream ownership
  • Weekly planning, written updates, and demos
  • Implementation, testing, and documentation
  • Dependency tracking and delivery handoff

Not individual résumé leasing or an unmanaged ticket queue. Specialist capacity and larger pods are scoped separately.

Discuss a pod
WORK STARTS WITH CLARITY

One accountable buyer, timely system access, agreed milestones, and acceptance criteria. Scope changes are written down. We don’t take on an unlimited backlog, and we can’t promise outcomes when those inputs are missing.

A working product, not just a prototype.

Product built by the Rubrex team

ResumizeAI

A connected AI job-application workflow with structured generation, editing, PDF delivery, agent tools, credits, subscriptions, and evaluation gates.

We can walk you through the product as part of a scoping conversation.

Request the walkthrough

Measure first.
Then build.

If the quality problem is still unclear, the Reliability Sprint establishes the baseline and identifies where engineering effort belongs.

Explore the Reliability Sprint

What isn’t working
the way it should?

Tell us what you’re building, where it breaks, and what you need next. We’ll reply by email to discuss fit and scope.

evals@rubrex.ai
WHAT HAPPENS NEXT
  1. A short email exchange about the problem.
  2. A technical conversation if there’s a fit.
  3. A written scope and quote before any work begins.

Keep it high-level. No credentials, sensitive datasets, or customer records. How we handle this message.