automation
Spectral
AI and automation agency. Design, build, and automate — from brand and interface through to the AI systems and workflows that run the business.
overview
role: Founder
stack: Next.js, React Native, Supabase, Vercel, n8n, OpenRouter, Figma, Tailwind
scope: Most agencies split the work into silos — brand in one place, product design in another, engineering somewhere else, and automation nowhere at all. Every handoff loses fidelity and adds cost. Clients end up with mockups that don't match the build, a product nobody automated, and a set of vendors pointing at each other.
link: spctrl.tech
highlights
- - End-to-end delivery: brand identity, product design, and production code
- - AI built into products rather than bolted on — model routing, agents, retrieval, generation
- - Operational automation replacing manual workflows across client teams
- - Design-to-code pipeline with near-zero handoff loss
- - Web and mobile shipped from a shared React codebase
- - Retainer model for continuous iteration after launch
notes
What we do
Three things, usually in that order. Design — brand identity, design systems, product and interface design. Build — web and mobile apps shipped to production on Next.js and React Native. Automate — the operational layer around the product: AI workflows, internal tooling, integrations, and the back-office automation that stops a team doing things by hand.
AI, applied
AI shows up in two places. In the product: routing across model providers, agent workflows, generation features, and retrieval over a client's own data. And in the delivery: generative exploration during brand ideation, code scaffolding from design specs, automated responsive testing, and content generation for prototypes. Not to replace craft — to remove the tedious parts so more time goes into the decisions that matter.
Automation as a deliverable
A shipped product is half the job. The other half is the operational drag around it — manual reporting, copy-paste between tools, alerts nobody set up, decisions that should never have reached a human. That layer is built with n8n, custom services, and AI agents where the decision is fuzzy enough to need one, then handed over documented.
How it works
Every engagement starts with brand and system design — not wireframes. The visual language (typography, color, spacing, motion) is defined as design tokens that feed straight into Tailwind config and component code. By the time screens are being built, the system is already alive in code. Fewer revisions, faster iteration, and a product that looks exactly like the design.
Shared foundation
Every build inherits a common stack: Next.js on Vercel for frontends, Supabase for data and auth, n8n for automation, and a shared library of UI components, auth utilities, and deployment configs. Mobile uses React Native against the same tokens and business logic, so a client's web and mobile products feel like one system rather than two builds. The boring parts — auth flows, billing, error tracking, CI/CD — are already solved, so the work goes into what makes each product different.