We turn amorphous requests into reliable, production ready features

I lead product, scope, and delivery. Michael leads deep engineering across Python, infra, and AI. Together we ship end to end outcomes.

Book a Build Fit call See how we work

Who this is for

Digital Wisdom

Engagement model

The promise

Small by design, focused by default, we ship the highest leverage thing first.

The structure

Option A: Part time build partner

Ongoing weekly cadence

Option B: Sprint based delivery

2 or 4 week blocks

Option C: Rescue and stabilization

When quality, reliability, or infra needs cleanup

What you can expect weekly

A clear scope, a prioritized backlog, and shipped increments every week.

Roles and responsibilities

Niels' role: Solution partner and product lead

  • Translate needs into scope, acceptance criteria, and measurable outcomes
  • Own prioritization, tradeoffs, and stakeholder communication
  • Set up delivery rituals, decisions, and documentation so work compounds
  • Quality gatekeeping from user value to release readiness

Michael's role: Technical lead

  • Own architecture, reliability, security basics, performance, and maintainability
  • Build and review across Python, cloud, databases, and frontend as needed
  • Lead AI integrations and infra choices, with production constraints in mind
  • Set up infrastructure as code and monitoring where appropriate

Shared responsibilities

End to end ownership, shipping, observability, and continuous improvement

How we work

A simple process with strong confidence signals

1

Clarify the job to be done

Inputs, desired outcomes, constraints, risks

2

Define a thin slice

What we ship first, what we explicitly do not ship yet

3

Build fast with guardrails

AI assisted coding workflows, code review, tests where they matter, release hygiene

4

Ship, measure, iterate

Instrumentation, feedback loops, and small improvements that compound

5

Handover that sticks

Docs, runbooks, and a maintainers path for your team

How we cover your technical requirements

We cover this as a team. Michael leads deep implementation. Niels ensures the work maps to real user value, stays scoped, and ships reliably.

AI coding workflow expertise

Multi agent workflows with review and rewrites, practical governance

Python stack

FastAPI or Flask, background tasks, integrations

Firebase and GCP

Firestore, Auth, Cloud Run, tasks, monitoring

Integrations

GitHub, Linear, Zapier, Make, and automation tooling

Data pipelines

Scraping where appropriate, ETL into Firestore, data quality checks

What makes this arrangement lower risk for you

Single point of accountability

You talk to me, delivery and scope stay coherent

Senior technical ownership

Michael ensures code and infra quality

Product discipline

Fewer half built features, clearer tradeoffs

Documentation and handover

The team is not dependent on us forever

Working agreement

Communication

Async first with one weekly working session

Tracking

Linear as the source of truth

Code

GitHub workflow, PR reviews, release notes

Availability

Part time hours range, response time expectations

Security and privacy

Sensible handling of user data, least privilege access

Packages and pricing anchors

Ongoing part time partner

Monthly retainer, defined hours per week

2 week sprint

Fixed scope, fixed price, clear deliverables

4 week build sprint

MVP feature set, production ready release

If you share your current backlog and priorities, we will propose a first thin slice with a fixed timeline.

FAQ

Why not hire one senior engineer full time?

You get two experienced people, one focused on product direction and scope, one on technical execution. This split creates better outcomes than a single person trying to balance both. Plus, part time means you avoid overhead, benefits, and the risk of not having enough work to keep a full time engineer engaged.

How do you split work between Niels and Michael?

Niels owns discovery, scoping, prioritization, and stakeholder communication. Michael owns architecture, code, infrastructure, and technical tradeoffs. We review together regularly. You talk to Niels, and ensures everything stays aligned.

What happens if priorities change mid sprint?

We re-scope. If the change is small, we adjust within the sprint. If it's large, we propose a clean stopping point and shift focus. Either way, we ship what's complete and document what's not.

Can you work with our existing stack, or do you require your own?

We prefer working with your existing stack when it makes sense. If we recommend a change, we'll explain why and the tradeoffs clearly. We're pragmatic, not dogmatic.

Ready to ship your next feature?

If you want a small, senior, two person team that can turn fuzzy requests into shipped AI features, book a call. We will propose a first slice within 48 hours after the call, including scope, risks, and a timeline.

Book a Build Fit call