Context stays in the room.
Strategy, design, engineering, and AI sit on the same Slack channel, in the same standup, accountable to the same demo. No relay race between departments, no translation tax between vendors.
How we work · Team model
Your team + our team =
Your team + our team =
one great team.
Six disciplines, one Slack channel, zero handoffs. The pod that ships your product is the same pod that scoped it, designed it, and demoed it last Friday.
—— The pod model
One team, one channel, one outcome.
We organize around pods: small, cross-functional teams pulled from every discipline that matters, working together from kickoff through launch. The people who scope the architecture write the code. The people who design the UX sit in the same standup as the engineer who ships it.
One team owns the outcome.
Scope doesn't drift between departments because there's one pod — accountable to one backlog, one gate structure, and one weekly demo. What's planned is what ships.
The roadmap is the build.
When the same people set strategy and write code, the plan stays current. No six-week lag between the roadmap and what's actually being built — what you see Friday is what shipped that week.
—— Disciplines
Six disciplines, hired for depth. Deployed in pods.
Every discipline below is staffed in-house. We don't sub out engineering to a vendor in another timezone. If it's on this list, it sits on the same Slack channel as the rest of your pod.
Strategy
Product strategists and operating analysts who've sat in CFO / COO / CPO seats. They scope the problem, model the ROI, and make sure what gets built ships against a real business outcome.
Design
Product designers and UX researchers who can run a discovery interview and deliver a production-ready Figma file in the same week. Brand, IA, interaction, accessibility — all in-house.
Engineering
Full-stack engineers across web, mobile, and backend. Next.js, React Native, Flutter, Python, Node, Postgres, Vercel, AWS. The same people who scope the architecture write the code that ships.
AI & ML
AI engineers and ML practitioners working in production with Claude, OpenAI, LangChain, and the broader stack. Model selection, evals, prompt engineering, RAG, agents, guardrails.
Marketing & Growth
Growth engineers, performance marketers, and content strategists. Launch marketing as an optional parallel workstream during build; ongoing growth engine after launch.
Operations & Delivery
Engagement leads who run the gates, the demos, and the executive reporting. They're the single throat to choke — and they make sure the cadence is the cadence.
—— Pod composition
How a typical pod is staffed.
Every engagement gets a core pod that owns your project from day one. The size flexes per phase — a discovery audit might run with three people, a production build with six or seven. The same engagement lead, architect, and designer stay with you across phases. You don't get re-onboarded every time the work scales.
Core · always on
Engagement Lead
Runs the gates, the demos, and the executive reporting. The single point of accountability through the engagement.
Strategist
Scopes the problem, models the ROI, and locks the success metrics — so what ships is measured against a real business outcome.
Engineer
Owns architecture, build, and ops. The same person who scopes the system writes the code that ships into production.
Designer
Runs product, brand, and research. Discovery interviews and production-ready Figma in the same week, no handoff overhead.
Scales · per phase
AI Lead
Owns models, evals, agents, and the guardrails. Plugs in during AI build phases; out again once the system is in steady state.
Growth Lead
Runs launch, retention, and paid. Joins the pod during go-to-market phases; stays on for an optional ongoing growth engine after launch.
Pulled in as needed — additional engineers, QA, security review, technical writer, change management. The pod expands and contracts at gate boundaries, not mid-sprint.
—— AI teammates
The team you don't see in the standup.
Every pod works alongside AI tools that multiply what senior engineers can do. These aren't experiments — they're part of the daily workflow, with human judgment at every decision point.
Claude · Anthropic
Architecture review, code generation, documentation, and complex reasoning. Claude handles the first draft of systems design, test suites, and technical documentation — our engineers write the final version.
OpenAI · GPT & embeddings
Embedding pipelines for RAG, content generation, function calling for agent architectures, and evaluation suites. Deployed in production across client products where the use case fits.
Gemini · Google
Multi-modal analysis, long-context document processing, and video understanding. Used in workflows that need to reason over large document sets or mixed media inputs.
Model-agnostic by design — we don't lock into one provider. Every AI component gets an eval suite, and the model that wins on accuracy, latency, and cost for your use case is the one that ships. If a rule-based system outperforms a model, the rule wins.
—— Working with your team
How we plug in alongside your existing CTO.
If you have an in-house team, we don't replace them. We augment them. The two patterns below cover most engagements.
We augment your team.
You have a CTO, a few engineers, and a clear roadmap — you just need additional pods to hit the timeline. We staff a pod that reports into your tech leadership, uses your stack, and ships into your repos.
- Code review by your team, not just ours
- We adopt your linting, CI, branching, deploy conventions
- Daily standups in your existing rituals
- Weekly demo to your stakeholders
- Off-boarding hand-off documented from day one
We are your team.
You don't have an in-house engineering team yet, or yours is heads-down on something else. The pod owns delivery end to end — with a named exec sponsor on your side as the single decision-maker.
- Engagement lead = your day-to-day PM / architect
- Weekly exec syncs with your sponsor on direction
- All code, docs, and IP in your GitHub org from day one
- Hand-off plan baked into the SOW
- Optional ongoing growth pod after launch
—— Common questions
What teams ask first.
How pods plug into an existing org, who reports to whom, and what happens when the pod size flexes between phases.
Do you replace our existing engineering team?
No. If you have a team, we augment it (Pattern A). We staff a pod that reports into your tech leadership, uses your stack, ships into your repos, and adopts your conventions. If you don't have a team yet, the pod owns delivery (Pattern B) with a named exec sponsor on your side.
Who reports to whom when there are pods on both sides?
Our engagement lead reports to your tech leadership for delivery, and to your exec sponsor for outcomes. Engineers report to their tech leads on both sides as peers. No surprise org charts — the structure is in the SOW on day one.
What if our stack is different from yours?
We work in your stack. Our defaults are Next.js, React Native, Python, Node, Postgres, Vercel, and AWS — but every engagement starts with a stack alignment. We adopt your linting, CI, branching, deploys, and naming conventions on day one.
How does the pod size change between phases?
The core (engagement lead, strategist, engineer, designer) stays the same across phases. Specialists (AI lead, growth lead, additional engineers, QA, security) scale in and out at gate boundaries — never mid-sprint. The same engagement lead, architect, and designer stay with you the whole time.
Do you sub work out to contractors or offshore teams?
No. Zero subcontractors. Every discipline on the page above is staffed in-house with senior engineers from day one. If it's on your pod, it sits on the same Slack channel as you — not in a different timezone, not behind a vendor layer.
What does the off-boarding hand-off actually look like?
Documented from day one. Architecture diagrams, runbooks, model evals, deploy scripts, credentials, and a working README that gets your next engineer productive in a day. All in your GitHub org. Either we'll be off-boarding to your team, or we'll be standing by for an optional growth-pod phase after launch — your choice, no fee either way.
—— Field notes
What we’re writing about.
Field notes from the studio — what we’re learning about AI products, agent UX, and the messy reality of shipping software in 2026.
