1. Begin with a paid diagnostic
Work live with Edward on representative problems, code, designs, or decisions. The session establishes what you can do now and where performance first loses signal.
Start here
Do not choose a program before you know the real constraint.
Every Pristone engagement begins with a paid, live 1:1 diagnostic. You leave with a written capability plan and a clear recommendation: continue independently, complete a focused sprint, or enter the student or professional pathway that fits the evidence.
No commitment beyond the diagnostic session
The Pristone Method
One capability loop across every track.
- Diagnose
- Prioritize
- Build
- Test transfer
- Measure
- Re-prioritize
How entry works
One front door. A pathway chosen from evidence.
2. Receive a written pathway recommendation
You leave with observed strengths, ranked constraints, the first useful stage, and a plan you can use with Pristone or independently.
3. Build, test transfer, and re-prioritize
If we continue together, the work follows the recommended sprint, mentorship, project, or research pathway and changes as new evidence appears.
Choose your pathway
Start with the audience that fits. The diagnostic chooses the stage.
Students and families
Student capability pathway
For advanced mathematics, GRE Quant, coding, computer science, AI, independent projects, or research. The diagnostic determines whether the learner needs foundations, focused performance work, project ownership, or research preparation.
- Competition and academic performance
- Coding, CS, AI, and machine learning
- Independent projects and research readiness
Professionals
Professional capability pathway
For system design, technical interviews, software-engineering depth, career re-entry, or AI/ML capability. The diagnostic separates knowledge gaps from execution, judgment, and communication constraints.
- System design and architecture judgment
- Technical interview performance
- Engineering depth, re-entry, and long-term growth
Already know the goal?
Choose a focused diagnostic.
The method is the same across every area; only the representative work and performance dimensions change.
Machine learningProblem framing, data, pipeline, evaluation, error analysis, and explanation.System designScope, scale, interfaces, architecture, tradeoffs, reliability, and communication.GRE QuantConcept, recognition, strategy, interpretation, execution, pacing, and transfer.AMC 10Content, structure recognition, problem selection, scratch work, pacing, and verification.AIMEDepth, method selection, execution, precision, and integer-answer verification.AI projects and researchTechnical preparation, scope, question quality, evidence, feasibility, and learner ownership.
Unsure which diagnostic fits?
Ask Edward before booking. Describe the goal and current situation without sharing private student, employer, or client information.
Free to ask · replies within 2 hours