Same production bar as our own stack — build and integrate when you want code shipped, advise when you need architecture, vendor fit, and a plan first. AI-native products, hard integrations, and systems that hold up after launch.
Below: how we engage, how projects run, and the tools we use.
Ready to talk scope? Contact is the place to start. For a detailed message, use Signal.
For a high-level read on commercials, on-page FAQs, and an optional SOW-to-line-item appendix (no dollar amounts on the web), read How we bill — or request a written fee list through Contact.
Choose the shape that fits your roadmap — we often blend these across a product lifecycle, including advisory-only phases before or alongside build.
Advise — strategy & solution design
Architecture reviews, AI and vendor fit, roadmaps, and technical diligence — structured outcomes when you need clarity and a build plan without us committing code.
Build — product & platform
End-to-end delivery: discovery, design partnership, implementation, and launch. Outcome ownership, not ticket churn — including AI-native and full-stack product work.
Integrate — systems & APIs
Connect CRMs, warehouses, identity, payments, and internal tools. Clear contracts, edge-case handling, and documentation that matches what ships.
Augment — embed with your team
Staff augmentation, reviews, architecture guidance, or a lead for a critical initiative. We match your cadence and toolchain.
Every relationship is different; below is a typical shape — not a contract. We will propose something specific after intake.
Phases
Align — goals, constraints, and success criteria. Shape — discovery sprint or advisory arc to reduce risk before big commits. Build / integrate — iterative delivery with visible milestones. Ship & steady — handoff, observability, and what “run” means for your team.
Typical horizons (indicative)
Advise — often a few weeks to a couple of months for a defined review, roadmap, or diligence thread. Build — depends on scope; meaningful product slices commonly span multi-month programs, with earlier milestones for validation.
What you walk away with
Advise: written findings, options with tradeoffs, architecture or vendor fit, prioritized roadmap, and risks called out. Build: working software in your environments, repos and docs as agreed, and runbooks your team can operate.
Product and platform work at the same standard we ship for ourselves — web apps, SaaS foundations, and internal platforms from first prototype to hardened production, including AI-forward experiences. Architecture you can evolve, tests that earn trust, and a path to scale.
Greenfield & modernization
New builds alongside strangler patterns and careful refactors so you ship while the system changes.
TypeScript end-to-end
Shared types across browser and server; fewer surprises when APIs and UIs move together.
Quality & release discipline
Automated testing, CI/CD, and observability so releases stay predictable under real load.
REST and OpenAPI-first services, webhooks, batch jobs, and glue between systems — where core product and intelligent features meet CRMs, identity, payments, and internal tools. We care about auth boundaries, idempotency, and operability when things fail.
Service layers & contracts
Node (Express, Fastify), Python (FastAPI), JVM (Spring, Ktor), PHP (Laravel) — chosen for fit, not fashion.
Payments & comms
Stripe billing lifecycles, Twilio messaging, maps and location layers — integrated with clear secrets hygiene.
Regulated & public data
Connectors to federal and industry APIs (e.g. EDGAR, FDA, SAM) when compliance and audit trails matter.
Relational cores, caches, documents, and object storage — modeled for your workload, retrieval, and analytics. Row-level security, migrations, and reporting pipelines that respect who should see what when AI features touch production data.
PostgreSQL & Supabase
Complex queries, RLS policies, realtime where it fits, and auth-aware data boundaries.
Polyglot storage
Redis, MongoDB, SQLite, MySQL/MariaDB, S3-compatible object storage — each where it earns its place.
Dashboards & insight
Charting and analytics views in the product; pipelines and ORMs (SQLAlchemy, JPA) when the domain is heavy.
Full-stack intelligent features — not a bolt-on: generation, embeddings, multimodal input, and evaluation wired through your product’s auth, data, and UX. Providers chosen for fit, latency, and cost; multi-provider orchestration and MCP where standards help.
Model providers
OpenAI, Anthropic (Claude), Google Gemini, Mistral, Perplexity — with fallbacks and routing by task.
ProvidersProduction patterns
Structured outputs, SSE streaming for live UX, cost caps, and evaluation hooks so features stay measurable.
DeliveryPython & data stack
Pipelines, NLP, and ML-adjacent services where Python and FastAPI are the right tool.
AI · DataInterfaces where users meet your product and its intelligent features — fast and accessible from phone to desktop. React and Next.js on the web; SwiftUI, Jetpack Compose, and React Native for native and cross-platform.
Modern web UI
React, Vite, Next.js, Tailwind, MUI; validated forms (React Hook Form + Zod) and solid routing.
Client state
TanStack Query, Zustand, Redux Toolkit, Inertia with Laravel when the server drives navigation.
Mobile
Native Apple and Android patterns; Firebase when push and analytics need Google’s hosted pieces.
The reliability layer under production AI and full-stack products — containers, CI/CD, edge and cloud runtimes, observability, and API shapes that stay maintainable as the team and traffic grow.
Runtimes & edge
Docker, Cloudflare, GCP (Cloud Run, GCS, Vertex), Supabase Edge Functions, GitHub Actions pipelines.
APIs & composition
REST + OpenAPI, GraphQL, gRPC for internal services, SSE for live streams, embeddable widgets with clear boundaries.
Platform discipline
Monorepos (Turborepo), Terraform, Sentry, Celery for async work — so changes stay reviewable and reversible.
When we move past intake, engagements are governed by clear statements of work and master services agreements as appropriate, with written exhibits for recurring hosting, usage, and add-ons when they apply. We bill by line item so invoices separate professional time (against the SOW), platform and pass-through infrastructure, metered consumption where relevant, and any support or optional services you have engaged. Insurance certificates and vendor security questionnaires are available on request for qualified work — say so in Signal so we can route procurement. For security practices and disclosure, see Security.
Tell us whether you want hands-on build, integration work, advisory-only, or a mix. Share the product, the systems in play, and the timeline — we will respond with a straight read on fit.
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