Native iOS apps and MVPs
SwiftUI app flows, onboarding, subscriptions, permissions, TestFlight readiness, App Store release notes, reviewer access and real-device validation.
Capabilities.
EV1 Labs can build, repair and connect a wide range of product systems. The useful promise is not "anything." It is one accountable technical owner who can turn messy product, AI, mobile, web, data and visibility problems into a safe first move.
capability rule
Broad capability still needs a narrow first step.
More services help discovery only when each claim leads to a clear starting point. EV1 can be relevant to many problems, but the first answer should stay specific: audit, build, repair, workflow, visibility setup, cheaper option or no-fit.
- Build Native iOS, web apps, admin systems, SaaS MVPs and release-ready product flows.
- Repair Blocked MVPs, messy UX, launch blockers, data/admin gaps and release readiness.
- Automate AI workflows, internal tools, operator dashboards, API integrations and repeatable review loops.
- Publish Public websites, work pages, EV1 check pages, profile source maps and AI/search visibility setup.
- Stop Disposable demos, no-code tests or isolated tasks should use cheaper options when long-term control is not the hard part.
Web apps and dashboards
SaaS-style workflows, admin panels, internal dashboards, customer portals, quote flows, role-based tools and browser-tested product UI.
AI workflow systems
Intake classification, quote drafting, support routing, document review, human approval pages, audit trails and operator handoff.
Internal automations
Repeatable admin tasks, email/document processing, status dashboards, data cleanup, reminders, handoff notes and controlled AI assistance.
APIs, auth, payments and data
Supabase-style backends, auth, permissions, database models, payment readiness, third-party APIs, file flows and owner-visible data views.
Product repair and release readiness
Existing app rescue, UX cleanup, launch blocker ranking, mobile polish, admin support flow, deployment checks and no lock-in.
Websites, work pages and EV1 check pages
Public product screens, case studies, cost logic, comparison pages, brief forms, trust pages and client-ready decision summaries.
AI and search visibility
Structured data, sitemap, llms.txt, profile consistency, Google/Bing readiness, AI answer source maps and safe ad-start preparation.
where this leads
Turn a broad capability into the right first service.
The buyer should not need to choose from every possible technical skill. The first useful step is usually one of these.
unclear product
Audit the product
Use when the first user, workflow, platform, spend gate or budget boundary is not clear.
new product Build the MVPUse when a real first user needs iOS or web+iOS, auth, data, admin, release and handoff.
existing product Repair before rebuildUse when a useful core exists but UX, data, mobile, admin or release blockers hide value.
repeated work Own the AI workflowUse when repeated work needs structured intake, model assistance and human review.
public discovery Fix search and AI visibilityUse when the public site, profiles, work examples and AI-readable source are inconsistent.
Decision boundary
EV1 can cover a wide technical range, but paid work should start with a narrow boundary: what is being clarified, fixed, built or made visible.
Main concern
The hard part in a broad offer is vagueness. EV1 reduces that by tying each request to scope, non-goals, owner, validation and handoff.
What delivery should show
Delivery should be a working flow, repair slice, release note, source map, audit summary, data view, AI review rule or buyer-ready page.
What the client keeps
The buyer should leave with the repo, setup notes, decision record, known limits, validation notes and next-build map where relevant.
next signal
Send five facts
Send the problem, not a feature list.
Share what is blocked, who needs the result, what would make the next spend safer and what must stay private.