praxvon

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1. 9/14/2026

   Updated: best for, features, limitations, sources, summary, use cases, walkthrough

   See recorded changes

   bestFor

   Before: ["Clients needing AI-native software products with integrated strategy, UX, engineering, and growth, especially B2B SaaS and industrial businesses. Projects that require close collaboration with senior founders and a small dedicated team."]

   After: ["B2B SaaS companies, service brands, and industrial businesses needing AI-native software products.","Clients who want direct communication with the founders who design and ship the product, avoiding vendor chains and handoffs."]

   features

   Before: []

   After: ["AI integrations with OpenAI, Claude, Gemini, and LangChain.","Web development using Next.js, React, TypeScript, and Node.","Mobile app development with React Native, Expo, Swift, and Kotlin.","UI/UX design including Figma, GSAP, Lottie, and Storybook.","Cloud and DevOps services using AWS, Docker, Kubernetes, and Terraform."]

   limitations

   Before: []

   After: ["Praxvon does not subcontract engineering, does not engage in long RFP responses, agency-style pitch theatre, or six-month discovery phases."]

   sources

   Before: [{"url":"https://praxvon.com/","label":"Praxvon — AI-native product studio for B2B SaaS teams"},{"url":"https://praxvon.com/en/blog/evals-in-production","label":"Evals in Production: LLM Regression Testing | Praxvon"}]

   After: [{"url":"https://praxvon.com/","label":"Praxvon — AI-native product studio for B2B SaaS teams"},{"url":"https://praxvon.com/en/blog/evals-in-production","label":"Evals in Production: LLM Regression Testing | Praxvon"},{"url":"https://praxvon.com/en/about","label":"About — The Studio · Praxvon"}]

   summary

   Before: "Praxvon is a small, founder-led AI-native product studio based in Istanbul that designs and ships software for B2B SaaS, service brands, and industrial businesses worldwide. The studio integrates strategy, product UX, engineering, and growth disciplines end-to-end without handoffs, focusing on shipping actual products rather than slideware."

   After: "Praxvon is a small AI-native product studio based in Istanbul that designs and ships software for B2B SaaS, service brands, and industrial businesses. The studio integrates strategy, product UX, engineering, and growth under one roof with a founder-led approach and no handoffs between disciplines."

   useCases

   Before: []

   After: ["Building AI-native SaaS platforms with multi-tenant architecture and AI messaging.","Developing B2B fintech and financial SaaS products."]

   walkthrough

   Before: ["The studio builds an eval harness for LLM quality regression detection consisting of a JSON file of test cases, a script to run tests against current prompts and models, a comparison step for pass/fail, and a CI hook to block deploys on regressions.","The one-day setup for the eval harness includes writing 15-30 test cases, creating the runner script and CI hook, testing against current prompts, fixing failures, and wiring PR gates and nightly cron jobs."]

   After: ["The studio builds an eval harness for AI models consisting of a JSON file of test cases, a script to run tests, a comparison step for pass/fail, and a CI hook to block deploys on regressions.","The eval harness runs on pull request open with partial suite, pre-merge with full suite blocking merges on regression, post-deploy smoke tests, and nightly full runs to catch slow drifts.","The one-day setup for the eval harness includes writing 15-30 test cases, writing the runner script and CI hook, testing against current prompt, and wiring PR gates and nightly cron jobs."]