Pressure-test the system before production does.

General models tell you what could work. PSR.AI asks what happens when it does not. Bring a design, ADR, or system description and get a review that separates facts from unknowns, ranks failure modes, and turns recommendations into tests and stop conditions.

Start the diagnostic Work directly with Prabhjot

Generated first pass / no raw document upload / human review available

01 / The review artifact

A decision artifact, not more AI prose.

The review uses a fixed seven-part structure. It does not invent missing infrastructure, pass targets off as measured results, or hide uncertainty behind confident language.

01
System boundary
A fact-versus-unknown map of the decision, data path, model, deterministic components, affected parties, and human controls.
02
Priority failure modes
Up to six consequential ways the system can fail, each tied to likelihood, severity, a control, an evaluation, and a stop condition.
03
Evaluation and rollout
A testable plan for evidence, monitoring, staged release, rollback, and the questions that still block a responsible decision.

02 / Review desk

Bring the real constraints.

Start with the decision the system makes and what happens when it is wrong. Attach supporting material if useful. PSR.AI will gather the missing operating context before it produces the full review.

Review protocol

01
State the consequential decision
What does the system decide or produce, who is affected, and what is the cost of being wrong?
02
Close the operating boundary
The intake separates stated facts from unknown data paths, controls, autonomy, evaluation, and rollback.
03
Receive the structured review
Get prioritized failure modes, testable controls, an evaluation plan, rollout guidance, and stop conditions.

Try a focused brief

Human review

Use the diagnostic for coverage. Bring consequential trade-offs to Prabhjot for accountable judgment.

Book an architecture session

Document boundary

Documents are parsed in your browser. Raw files do not upload; bounded extracted text transits Vercel and an authenticated gateway to a model operated by psr.ai on Modal's external GPU infrastructure.

Architecture output is generated guidance, not independent assurance or certification.

Read how data moves

PSR.AI review desk

Generated diagnostic / named review standard

PSR.AI

This is a generated first pass against Prabhjot's production AI review standard, not Prabhjot himself. Describe the decision your system makes, who it affects, its data and model path, and what happens when it is wrong. I will close the operating gaps before producing the review.

03 / Accountable next step

The diagnostic finds the questions. A working session makes the decisions.

PSR.AI is generated guidance, not certification or independent assurance. When the trade-offs carry real cost, take the review into a focused conversation with Prabhjot.

Book an architecture session Read the working principles

Pressure-test the system before production does.

A decision artifact, not more AI prose.

System boundary

Priority failure modes

Evaluation and rollout

Bring the real constraints.

The diagnostic finds the questions. A working session makes the decisions.