London, August 2026

Gen Stream

A one-week AI safety programme in London for aspiring generalists. Ship a real project and leave with evidence, connections, and next steps.

London · United Kingdom

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Team

Gen Stream is being built by a small UK-based team focused on getting more capable generalists into AI safety work.

We design the week, run it in person, and stay involved with participants after it ends.

Co-founder & Facilitator

Yaqoob Ahmad

Runs the programme in person and facilitates the week, with a focus on design, shipping, and building the agency side of Gen Stream.

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Co-founder & Facilitator

Julien Sireau

Runs the programme in person and facilitates the week, with a focus on curriculum, mentoring, and next steps for participants after it ends.

LinkedIn ↗

When

August 2026

1 week

Where

London

United Kingdom · in person

Programme size

8–12

Cohort of eight to twelve

Support

Funded

Travel, accommodation and food covered · stipend TBD

The problem

AI safety's most-cited talent bottleneck isn't researchers. It's generalists: the operations, programme, talent, comms and fieldbuilding people who make organisations function.

Orgs receive hundreds of applicants per generalist role but can't cheaply tell who can do the work. Capable people cycle through courses and fellowships, accumulating context but no employer-legible evidence they can execute.

The work

Every participant picks a project before the week starts, either their own idea or one from a curated list of real problems sourced from AI safety orgs, then spends five days building it. The final day is demo day, in front of the cohort and the wider network. Before you leave, you'll have recorded a short demo video, written a one-page summary, sent both to at least one relevant person, booked a 1:1, and drafted a 30-day plan. It can also serve as preparation for longer programmes like the Generator Residency or MATS.

How it works

One week. Real work. A clearer picture of where you fit.

PRE

Preparation

An opening call, a reading list to build shared context, and choosing your project — your own idea, or one from the curated list of real problems from AI safety orgs — so you arrive on Day 1 ready to build.

Orient, edge, lock

The field in one morning: the org landscape and where generalists add value. An edge workshop to sharpen your one-line 'why me'. Project scopes pressure-tested and locked. Building starts by the afternoon.

D2–3

The build

Daily standups, focused build blocks, short practical sessions on scoping and stakeholder communication, and a hard midpoint peer critique to force a course-correct.

Finish and package

Wrap up the build in the morning, then move into packaging: a handover doc and a portfolio page that make your work easy to understand and pass on.

Package and send

Record the demo video, write the one-page summary, and send both to at least one relevant person. Book a 1:1 off the back of it and draft your 30-day plan. The send is the point of the week.

Demo day

Present your work to the cohort and the wider network. The afternoon turns to what comes next: fit maps, routing recommendations, and planning next steps, including programmes like the Generator Residency or MATS and open roles.

Where this leads

Learn reading list

Start with the reading list, why generalists matter and where the work is, so you arrive with shared context.

On-ramp Gen Stream

The one-week, in-person cohort. Build a real project and get it in front of people who can act on it.

Fellowship go deeper

Move on to longer programmes like the Generator Residency and MATS Founding & Fieldbuilding.

In-role the goal

A full-time generalist role, operations, fieldbuilding, comms, chief of staff, at an organisation working on AI safety.

Who should apply

Capable and thoughtful, earlier than you think.

The cohort is a mix of students, AIS group organisers, and career transitioners across the UK and EU (exceptional candidates from elsewhere welcome). You don't need years of experience. Strong projects, organising work, or self-directed initiative in one of these areas is enough.

Operations & systems

Workflows, automations, hiring pipelines, and the infrastructure orgs run on. Backgrounds in ops, admin, tooling, or systems-building.

Programme & project management

Turning vague initiatives into plans that ship. Backgrounds in project delivery, product, or coordination-heavy roles.

Talent & recruiting

Sourcing, evaluating and routing people well. Backgrounds in recruiting, HR, community organising, or admissions.

Communications & marketing

Clear writing, positioning, and branding for a field that needs it. Backgrounds in comms, content, PR, or design.

Events & community

Retreats, workshops and programmes people remember. Backgrounds in events, hospitality, or community management.

Founding & strategy

Scoping new projects and orgs the ecosystem needs. Backgrounds in entrepreneurship, consulting, or strategy.

What you'd work on

Find a real gap. Make something. In one week.

Some examples of the problems participants take on. Each comes from a real organisation or the curated open-problems bank, scoped to be genuinely usable by the end of the week.

A talent CRM an org will actually maintain

Design and ship a lightweight candidate/stakeholder tracker for a fieldbuilding org, with the handover doc that keeps it alive.

An event runbook from a real retreat

Turn a past programme's scattered notes into a reusable runbook the next organiser can run without you.

A hiring rubric for generalist roles

Build a calibrated evaluation rubric for an org drowning in applications.

An onboarding SOP

Document and systematise how a small org brings people in, so the knowledge stops living in one person's head.

Your own idea

Use the pre-work to scope it. Use the week to build the first version, with feedback from peers and the wider network.

Expression of interest

Get involved with Gen Stream

Two ways in. Join the pilot cohort as a participant, or contribute a real project as a mentor and shape what the next wave of AI safety generalists work on.