Services

You already know how your team builds games. These services plug into that reality. Each one is a modular piece you can run alone or combine into a longer sequence of experiments.

Core service categories

Each service targets a different layer of risk, from raw feel to full experience to the workflow that carries ideas across your studio. You can start small and add depth only when it makes sense for your project.

1

Concept and mechanic validation sprints

Use this when you have a focused concern about a mechanic, control scheme, pacing beat, or progression step. I help you phrase one primary question and up to two secondary ones, then design a prototype that lives inside your engine and repos. Together we agree on scope, signals to track, and how long the sprint will run. You finish with a playable build, a short findings note, and a documented decision linked to the original question so future discussions have a clear reference point.
2

Vertical slice and experience builds

When you need to understand how a game feels over a short arc, I support you in building a vertical slice that still behaves like an experiment. We lock one segment of content, define what must feel representative, and decide what can stay temporary. I help structure tasks, reviews, and playtests so the slice answers questions about pacing, clarity, and scope. Deliverables include the slice build, annotated design notes, and a risk map that highlights what this slice does and does not prove.
3

Prototyping workflow and pipeline design

If your pain is that prototypes keep derailing production, this service focuses on workflow. I map how ideas move from pitch to archive across your tools and teams. Through interviews, observation, and artifact review, I identify friction points in handoffs, documentation, and branch hygiene. You receive a workflow diagram, recommended changes, and lightweight templates for experiment backlogs, naming, and reporting so your next prototypes run smoother.

4

Multiplayer and networking prototypes

For teams testing cooperative, session based, or networked features, I help frame and run contained experiments. We define what behaviors and edge cases matter most, design small lobbies or arenas, and agree on what stability and flow look like at this stage. I assist with planning test runs, logging issues, and summarising trade offs so you can decide whether and how to extend the mode. The focus stays on clarity, not on promising scale.

How a typical service engagement runs

1

Frame the engagement and define questions

We begin with a short discovery phase. You share your current project, team structure, tools, and the decisions you need to make. I listen for where uncertainty sits, whether in mechanics, pacing, cooperation, or process. Together we choose a service type, define one or two sharp questions, and set practical constraints around time, team involvement, and tools. This step ends with a simple brief that outlines goals, risks, and what success means in terms of learning, not guarantees.

2

Design the plan, scope, and collaboration

Next I work with your leads and key contributors to design the concrete plan. For build focused services, that means mapping tasks, branches, and playtests that will produce a usable prototype or slice. For workflow services, it means planning interviews, observations, and documentation reviews. We agree on communication rhythms, review points, and what will be delivered at the end. Throughout this phase I keep scope tight so the work fits around your roadmap instead of overrunning it.

3

Deliver builds, insights, and handoff support

During delivery we execute the plan, review builds or findings, and adjust where needed. I stay hands on with documentation and decision framing so each step links back to the original questions. At the end, you receive the agreed deliverables, such as builds, annotated design docs, workflow maps, or test summaries, plus a short handoff session to walk through them. Results may vary from project to project, but you leave with concrete artifacts and a clearer path for your next decisions.

Every service here ends with something you can ship, show, or reuse. A build, a document, or a workflow pattern that makes the next experiment easier to run and easier to explain.

In a typical prototype sprint I help your team move from a fuzzy concern to one sharp design question, then build the smallest honest test around it. You get a playable build in your engine, light instrumentation where it matters, and a short report that links observations to the original question. I also document branch names, scenes, and input setups so your team can revisit or retire the prototype without confusion.

For vertical slices, I work with your leads to lock one narrow segment of content that can stand up in front of stakeholders. We define what needs to feel representative and what can stay temporary. The deliverables include the slice build, a short design note that explains the assumptions behind it, and a risk log that lists what this slice does not cover yet. That way nobody mistakes the slice for a full production plan.

When the focus is on workflow tuning, I map how ideas travel through your studio. I run structured interviews, observe a sprint, and review your tools and documentation. The outcome is an annotated workflow map, a list of friction points, and a set of concrete experiments you can run to improve handoffs. You also receive naming conventions, simple fields for experiment tracking, and recommendations for where automation might help.

If you need support on multiplayer or networking prototypes, I help you define test cases that focus on flow rather than scale claims. We design small lobbies, simple sessions, and clear failure modes to observe. The deliverables include a test build, a checklist for running stable sessions, and a summary of issues and trade offs to consider before you extend the mode or commit it to your roadmap.

Service questions

Which engines do you support

I work with common commercial and internal engines, as long as your team can provide access and a point of contact. The focus stays on how ideas move through your tools, not on pushing you toward any specific stack. If I am not a good fit for your engine or platform, I will say so early and suggest alternate ways to structure your experiments.

Who owns the work produced

You keep full ownership of your ideas, code, assets, and documentation. My role is to help design workflows, builds, and notes that live inside your environment. Any examples I share elsewhere are anonymised and stripped of identifying details so your project and intellectual property remain protected.

How do prototypes fit our pipeline

I start by mapping your current pipelines, then design prototypes and documentation that plug into them. That can mean using your task tracker, branching model, and build system instead of introducing new tools. Where changes are suggested, they are framed as small experiments your team can test before adopting them more widely.

How does remote collaboration work

Most work happens remotely, using shared repos, video calls, and async notes. I agree on communication channels, meeting rhythm, and decision points with your leads before we start. When needed and practical, I can align with your core time zone to join standups, reviews, or milestone meetings that touch the experiments we plan together.

What happens after handoff

Each engagement ends with a clear handoff. You receive builds, documentation, and a short summary of decisions tied to the original questions. If your team wants to keep iterating on the same area, we can plan a follow up sprint or you can reuse the workflow on your own. I remain available for limited questions after handoff to clarify how the pieces fit together.

What can we realistically expect

I avoid fixed claims about outcomes or timelines because each team and project is different. Instead, I outline the planned loop, deliverables, and decision points before we start. Throughout the work I highlight trade offs, risks, and options so you can make informed choices. Past performance does not guarantee future results, and all experiments are treated as learning steps.

Cookies and preferences

This site uses cookies and similar technologies to run basic features, understand traffic, and remember preferences. Some cookies may come from trusted third parties. You can review details in our policies and adjust browser settings if needed.