Five practices, one studio.

Engagements are scoped to outcomes — not deliverables. The five practices below are how we describe what we do, but every project is shaped to the operation it lives inside.

01 — AI Consulting·02 — Agents & Automation·03 — Web Development·04 — SEO & Content·05 — Retainers

Most AI projects fail because the brief is wrong — not the tech.

We start with how your business actually runs. Where the friction lives, what the data looks like, who's already trying to fix it on a spreadsheet. The output is a written diagnosis you can act on with us, with a different vendor, or in-house. We're not selling shovels — we're selling judgement about which mountain to dig.

.01

Operating-model audit

Two weeks of interviews, shadowing, and data review. We map where work actually happens, where it stalls, and where leverage is genuinely possible.

.02

Opportunity scoring

Each candidate workflow scored on impact, feasibility, data readiness, and change-management cost. You get a prioritized list, not a wish list.

.03

Roadmap & vendor strategy

A phased build plan with cost models, vendor shortlists, and a buy-vs-build framework for each opportunity.

.04

Change management

Most AI rollouts die in adoption. We design the rollout — comms, training, and operating cadence — alongside the system.

We build agents the way other people build infrastructure.

Custom agents, orchestrated workflows, and integrated automations — engineered with the same discipline as production software. That means evals, monitoring, fallbacks, and a paper trail you can audit. The systems we ship are still running months later because we treated them like they would be.

.01

Custom AI agents

Research, drafting, intake, classification, follow-up. Single-purpose agents tuned to one job, deployed where your team already works — Slack, your CRM, your inbox.

.02

RAG & knowledge systems

Retrieval pipelines over your documents, contracts, tickets, code. Answers grounded in your data, with citations and confidence signals.

.03

Workflow automation

Multi-step automations across your tooling — Zapier-grade speed, custom-grade reliability. Built where off-the-shelf can't reach.

.04

Evals & monitoring

Every agent ships with offline evals, online observability, and a regression suite. You'll know when something drifts before your customers do.

Web work, built by people who would have to maintain it.

Marketing sites that move on a phone in two seconds. Internal tools your operators don't have to apologize for. Customer portals you can extend without a rewrite. We work in modern stacks — Next.js, Astro, headless CMS, and the database that fits — and we leave behind code that the next engineer will thank us for.

.01

Marketing sites

Bespoke design, fast frameworks, real CMS. SEO baked into the architecture, not bolted on later.

.02

Web applications

Customer portals, dashboards, and internal tools. Auth, billing, and the unglamorous plumbing — done properly.

.03

E-commerce

Shopify, custom headless, or whatever the catalog needs. Built for conversion and built for the team that runs it.

.04

Performance & accessibility

Core Web Vitals as a contract, not a hope. WCAG-compliant by default — because the cost of fixing it later is always higher.

Content that earns the click, not just the index.

Search has changed. Generic AI content is being demoted, and rightly so. We build content systems that pair human editorial judgement with AI scale — research, drafts, internal linking, schema, and the technical fundamentals — so the work you publish gets read and ranks.

.01

Technical SEO

Architecture audits, schema markup, sitemaps, internal linking, Core Web Vitals. The boring fundamentals that compound for years.

.02

Content architecture

Topic clusters, pillar pages, and the editorial structure that makes a site easy to grow. Designed before a word is written.

.03

AI content pipelines

Editor-in-the-loop production systems. Drafts assisted, facts checked, voice preserved. You publish more, not slop more.

.04

Reporting & iteration

Monthly performance reviews tied to actual revenue — not vanity metrics — and a backlog that reflects what's working.

A senior team you can call, on the months you need one.

Most clients sign on for a retainer after we ship their first system. Models change, integrations break, new ideas surface — and a retainer means you have someone senior who already knows your stack and can move on it within the day.

.01

Priority hours

A defined block of senior engineering each month, used as you need — features, fixes, ad-hoc analysis, model migrations.

.02

System tuning & monitoring

We watch the systems we built. Drift alerts, cost reviews, prompt updates, integration patches — handled before you hear about them.

.03

Quarterly review

Every 90 days we surface what's worked, what hasn't, and where to go next. Tied to your business goals, not our hour count.

.04

Slack-channel access

A shared channel with the senior people on your account. Same-day response on weekdays, planned escalation on weekends.

Engagements, plainly priced.

Three formats that cover most of what we do. Custom scopes are quoted per project.

Diagnostic
2 weeks
$8kfixed
A two-week sprint to map where AI and automation actually pay back in your operation.
  • Stakeholder interviews & shadowing
  • Data & tooling audit
  • Opportunity scoring & ROI model
  • Written roadmap & vendor shortlist
Start a diagnostic
Build
6–12 weeks
From $35k
Custom AI agent, automation, or web platform — designed, built, and shipped end-to-end.
  • Architecture & system design
  • Agent / app implementation
  • Evals, monitoring & documentation
  • Live cutover & team training
  • 30-day post-launch support
Scope a build
Retainer
Ongoing
From $6k/ month
Your fractional AI & engineering bench. Steady cadence, fast turnarounds, shared roadmap.
  • Monthly priority hours
  • System monitoring & tuning
  • Quarterly review & roadmap
  • Slack-channel access
Start a retainer

Frequently asked.

What size of business do you typically work with?+
Mostly seed-to-Series-B startups and established businesses doing $2M–$50M in revenue. We've taken on enterprise pilots and small-business retainers; the constant is a leadership team that wants to actually use what gets built.
Do you work with our existing stack, or replace it?+
We work with what you have. Our job isn't to sell you tooling — it's to ship outcomes. We're polyglot across the modern AI stack and most common web frameworks, and we'll integrate where integration is sensible.
How do you handle data privacy and IP?+
Mutual NDAs at first contact. All client work is owned by the client. We default to private-cloud or VPC deployments for sensitive data, and we can sign DPAs for regulated environments.
Can you really ship in six weeks?+
Yes — for one well-scoped system. The trick is the diagnostic up front: we don't start the build clock until the brief is tight. Larger transformations are scoped as multi-phase programs.
What happens after we launch?+
30 days of included support, then either a clean handoff with documentation, or a retainer for ongoing operation. Most clients choose retainer because models and integrations don't sit still.

Tell us what you're trying to ship.