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Advisory · digital services · North America

One AI stack adopted across engineers, designers and advisors

Engineers, designers and advisors adopted Claude, n8n and Lovable together—then turned the stack into shared workflows they could use on client work.

Stack
Claude · n8n · Lovable
full AI stack
Format
Live cohort
mixed disciplines
Outcome
Shared workflows
used on client work

The tension

One client team could not run on four disconnected AI experiments.

Type B Digital brings engineering, design and advisory perspectives to the same client problems. Separate AI habits in each discipline would only add hand-offs and inconsistency.

They needed a modern stack the whole team could understand, plus patterns that made it useful beyond a facilitated workshop.

The intervention

Adopt the stack by building across disciplines.

A live cohort brought the mixed team together around Claude, n8n and Lovable. Each tool had a role, but the focus stayed on the workflow between them.

Participants built shared automation patterns and applied them to the kinds of work they deliver for clients, learning how engineering, design and advisory contributions could compound rather than fragment.

The change

A common stack—and the confidence to keep going.

The team left with shared workflows instead of isolated tool knowledge.

More importantly, the cohort was designed for independence: a foundation the team could keep adapting as client needs and the tools evolved.

What became possible

What the team took away.

01A shared Claude, n8n and Lovable toolchain across three disciplines
02Reusable workflow and automation patterns for client delivery
03A practical foundation for the team to continue building independently

Lessons

What other teams can reuse.

Teach the workflow

Tools create value in combination; the hand-offs between them deserve as much attention as the interfaces.

Mix the disciplines

Cross-functional building reveals where a shared stack can remove avoidable translation work.

Design for independence

The strongest cohort leaves a team able to adapt the patterns without the facilitator.

Frequently asked

The useful details.

Which AI tools did Type B Digital adopt?

The cohort worked with Claude, n8n and Lovable as a connected modern AI stack.

Who joined the programme?

Engineers, designers and advisors learned together in one live mixed-discipline cohort.

How was the training applied?

The team built shared workflows and automation patterns intended for real client work, with an emphasis on continuing independently.

Keep reading

More work in the field.

The method, written out

Built around your real work

Give your team a method they can keep.

Tell us where AI work is getting stuck. We’ll shape a practical programme around the workflows, roles and tools already in play.