Training

Stop circling AI. Get clear on what to change, what to build, and how to ship it.

Forgemaster training helps product and engineering teams cut through tool noise, align on the real opportunities, and fix the workflow gaps that stop AI work from turning into delivery.

What this is

From AI confusion to a workable plan in one session.

See what actually matters

01

Narrow the AI landscape to the use cases, tools, and constraints that matter to your product and team right now.

Fix the bottlenecks blocking adoption

02

Identify where planning, handoffs, and delivery habits break once AI enters the workflow, then decide what to change.

Leave with a real next move

03

End with a concrete workflow, prototype, or execution plan the team can act on immediately.

Example session

See how the training cuts through AI noise

This public talk shows the baseline problem many teams have: people use the same AI words, but they are not solving the same problem. The workshops use the same direct style to create shared ground fast.

It is not a workshop recording, so there are no exercises or team discussion. But it shows how Viljar explains AI without hype and gets teams to a usable starting point.

Viljar Võidula

Watch the meetup talk

Your trainer

Viljar Võidula

Founder, Forgemaster

Miros — Interim CTO

Shipped AI-powered e-commerce search to production for brands including Revolve and Jomashop. Led the technical team building and deploying models that handled real production traffic.

Veriff — Team Lead

Led engineering teams building and scaling identity verification infrastructure that processed millions of verifications.

What teams leave with

Practical outputs, not just AI vocabulary.

The goal is not to make the team feel informed for a week — it is to leave with clearer decisions, shared language, and something real the team can continue building on.

For founders and leaders

Leadership seminar

Half-day to full-day

€1,900

/ day

A focused session for leadership teams that need a realistic picture of where AI changes product, engineering, and execution.

For product + engineering

Hands-on team workshop

Full-day

€1,600

/ day

Cross-functional working sessions that turn strategy into team decisions around process, workflows, and practical experimentation.

For teams ready to build

Multi-day intensive

Two to three days

€1,700

/ day

A tailored multi-day format for teams who want to align, set up tooling, and leave with real momentum rather than a workshop summary.

Clarity on what matters now

A faster way to close the gap when the team feels behind on the latest AI landscape.

Strategy grounded in your constraints

A clearer direction built around your actual team, product, and technical reality.

Adjusted delivery process

Product and engineering habits reworked so AI-enabled work actually ships.

Better tooling decisions

Concrete choices with less guesswork and fewer expensive detours.

Shared language across the team

Product and engineering aligned on what AI means in your actual context.

Something real to build on

A prototype, configured workflow, or starting point the team can keep developing.

Who it is for

Built for teams trying to move from pressure into practice.

Product teams

The roadmap feels like guesswork since AI changed everything.

Trying to understand where AI genuinely changes the roadmap and where it does not.

Engineering teams

The team is experimenting, but nothing is gaining traction.

Adapting architecture, tooling, and delivery practices to new ways of building.

Leadership teams

Everyone wants an AI strategy. No one can agree on what that means.

Looking for a grounded direction instead of buzzwords, hype cycles, and random experiments.

Not a good fit

This work is direct and demanding. If your team is not serious about changing how it operates, this is the wrong room.

  1. 1

    You are looking for unrealistic shortcuts.

  2. 2

    You are not planning to change how the team actually works after this.

  3. 3

    You like to waste everyone's time in meeting rooms.

  4. 4

    You redefine the roadmap every two weeks without ever following it.

  5. 5

    You expect high-value results with no effort or commitment on your own behalf.

  6. 6

    You hire 'leftovers' and do not value high-performance operating principles.

Sample schedule

A real day, not a vague outline.

This is a representative full-day team workshop. Shorter formats compress the core sessions. Multi-day intensives add depth and more hands-on time.

Morning13:00 — Lunch breakAfternoonDiscussionWorkshopHands-on

Every schedule adapts — to what you are building, where you are stuck, and what decisions you need to walk away with.

09:00

Where does your team actually stand?

Honest group assessment of current AI skills, tooling adoption, and where the team genuinely is versus where leadership thinks it is.

09:45

AI landscape, relevant to your stack

Not every AI tool on the market — a targeted map of what matters given what you are already building and where you realistically want to go.

11:00

What to prioritise in the next 90 days

Where AI genuinely changes how you work and where it is still noise. A clear hierarchy of what to do first, second, and what to leave for later.

12:00

Where your delivery process breaks with AI

The specific handoffs, habits, and decisions in your current workflow that stop working once AI is involved. Named, mapped, and ready to fix.

13:30

Tooling decisions: what to use and why

Not a vendor comparison. A framework for evaluating tools against your team's actual constraints, so decisions stick and don't get reversed three weeks later.

14:30

Hands-on build session

The team works on something real — a configured workflow, a prototype, an integration. The goal is to leave with something working, not a plan to start working.

16:00

What changes starting Monday

A concrete, realistic plan for what the team should do differently after today. Not aspirational goals — actual process changes the team agrees to try.

What makes this different

This is not a fixed AI course and it is not consultant theater.

The training is shaped around the team, the product, and the decisions that actually matter. It is direct, practical, and built around getting the team to a place where AI genuinely changes how you work — not just how you talk about it.

A fixed certification course

Tailored to your context

One team in isolation

Product and engineering together

Slide-deck theater

Hands-on, delivery-oriented

Generic frameworks and abstract advice

Practical process change and real outputs

FAQ

The practical questions teams usually ask.

It can be either. Remote sessions work well for distributed teams. On-site works better when hands-on work or team cohesion is the priority. We can discuss what fits best.

Yes. The whole point is to adapt the content, examples, and exercises to what your team is actually building and where you are stuck — not to deliver a canned curriculum.

Yes. In most cases the best results come from having both sides in the room at the same time.

Yes. Tooling decisions are part of the workshop — not as a vendor recommendation, but as a structured way to evaluate what fits your team's constraints.

That is the goal whenever the format allows it. The hands-on sessions are designed to produce something the team can keep developing after the workshop ends.

It depends on the goal. We can shape half-day sessions, full-day workshops, or multi-day intensives.

Get your team unstuck on AI.

If your team is debating tools, chasing hype, or struggling to turn experiments into delivery, we can design a workshop around the bottlenecks that matter in your context.