FAQ
Plain answers about fixing AI-built apps, app-store releases, search tools, and workflow automation.
Start by checking exposed private keys, missing server-side sign-in checks, open data rules, unsafe cross-site access, unchecked inputs, and missing limits on repeated requests. A rescue pass moves private keys out of the app, fixes access rules, adds useful logs, and redeploys with error alerts.
Yes. The rescue process is for apps made with AI tools or with AI-assisted coding. I review the code, find launch blockers, fix the most important problems, and document the changes for the next developer.
Most AI-built apps are made to show a working demo, not to handle real customers. Common gaps include weak sign-in, exposed private keys, poor error handling, incomplete deployment settings, open data rules, no error alerts, and untested unusual cases.
Review the generated code, move private keys out of the screens, add server-side access checks, set up live hosting, fix data rules, add error alerts, test the important flows, and document how to undo a bad update.
Apple usually rejects apps for incomplete functionality, missing privacy information, duplicate or spam-like submissions, broken sign-in flows, wrong entitlements, or poor metadata. Each rejection includes a guideline reference that maps to a specific fix before resubmission.
Yes. I can prepare certificates, provisioning profiles, EAS builds, TestFlight, Play Console tracks, screenshots, metadata, privacy details, and release submissions for iOS, Android, or both.
RAG means retrieval-augmented generation. It is useful when answers must use private or changing information such as help docs, policies, product notes, or internal guides. If the answer must always follow fixed rules, a form or rules engine may be better.
Yes. A RAG project can include cleaning the source material, search, citations, test examples, and monitoring so answers use approved business information.
Yes. I use LangChain and LangGraph when a workflow needs search, tools, several steps, saved progress, or human review. The exact choice depends on the product.
AI can help classify requests, extract structured fields, draft client updates, summarize tickets, detect exceptions, and route work. Risky actions should still use deterministic rules, approval steps, and audit logs.
Yes. Setup can include a custom domain, contact forms, customer records, follow-up, usage tracking, welcome emails, and clear handover notes so the founder can run it.
Yes. I deploy Next.js apps to Vercel, Render, Railway, Fly.io, or other suitable hosts with domains, SSL, redirects, environment variables, monitoring, and production handover notes.
The most useful context is the repository, product URL, deploy preview, known blockers, target launch date, current stack, database provider, hosting provider, and any security or app-store rejection messages.
Yes. I can work in the current codebase, review existing work, leave clear notes, coordinate with freelancers, and explain the changes after the sprint.
Simple launch and deployment fixes can often be completed in days. Security rescue, app-store submission, RAG, or workflow automation usually depends on the current code quality, access, and scope.
Use the contact page or any service page calendar. Share the product link, repo context, app-store blocker, or launch checklist so the call can focus on the fastest path to production.