Why we released codex-strict-profile for larger codebases
An experimental public Codex profile for teams that need more verification, broader code reading, and clearer risk boundaries on medium and large codebases.
ReadWe design and build commerce systems that improve conversion through measurable performance and UX work on the critical path: browse, product, cart, and checkout. The focus is simple: faster pages, clearer buying flows, and fewer errors where revenue is made or lost.
Reliability is engineered in. We harden payment and webhook flows with explicit state transitions, idempotency, safe retries, and reconciliation so operations can answer “what happened?” without guesswork. Integrations (ERP, inventory, shipping, accounting, analytics) are treated as first-class, with security-aware delivery and operational visibility.
We clarify goals, constraints, and success metrics so the work stays coherent.
We map delivery into stages with quality gates, scope boundaries, and clear ownership.
You get a fixed, accountable plan with deliverables, milestones, and a pricing model that makes sense.

Faster storefronts, reduced friction, and better information architecture so customers move from intent to purchase without delays or confusion.
Defensive checkout design built around real failure modes: webhooks, retries, timeouts, refunds, and reconciled order state.
Clear source-of-truth boundaries and observable sync flows so inventory, shipping, and finance data stays consistent as the business scales.
Decision tools, patterns, and delivery governance for teams planning a service investment.
An experimental public Codex profile for teams that need more verification, broader code reading, and clearer risk boundaries on medium and large codebases.
ReadA practical guide, grounded in a ViaRah case study, to shipping portals, workflow apps, and dashboards quickly with Django + Vue, plus a gut-check on when Vue is worth it and a build checklist.
ReadAI pilots look promising until handoffs, ownership, and approvals get messy. This guide shows leaders how to make AI automation safe to run at scale.
Read
Share a few details and we’ll respond as soon as possible.