DevBot is the company behind ambivalence. We make tools for the public sector — software that treats civic professionals as the thoughtful, time-poor audience they are, and learning content that earns their attention rather than demanding it.
Will combines a research background in public sector learning with a working practice in software engineering. DevBot started as a side project testing what happens when narrative design, learning science, and modern software engineering are taken seriously — in the same room, by the same person — instead of being parcelled out to three different agencies.
It grew into a studio when it became clear that public sector buyers were hungry for consumer-grade tools but kept being sold enterprise-grade disappointment.
Public sector learning has been underserved for too long. The tools are generic, the content is dull, the measurement is meaningless, and the learners know it. Half the budget leaks on a platform people close at the first plausible excuse. We think it should be better than that — not in a manifesto sense, in a minute-three of Episode 1 sense.
We believe learning works best when it's wrapped in story — not gamified with points and streaks, but genuinely narrative. Our episodes are animated fables about the realities of civic work: the politics, the trade-offs, the human dimension of policy and governance. They're designed to be the kind of short, focused training nobody regrets making time for.
We believe assessment should be transparent and portable. Every badge we award is an Open Badges 3.0 credential — verifiable by anyone, shareable on LinkedIn, owned by the learner rather than rented from us. It doesn't expire when a licence does — and it doesn't expire when their council is reorganised.
We believe whose voice tells the story matters. Season 1 narration is performed across twelve UK regional voices — including Black British and minority-ethnic regional representation — so the civic story sounds like the workforce it serves, not like a single broadcast voice over a sector with thirty different accents inside it.
And we believe civic news and professional development belong together. Understanding what's happening in the sector is how you get better at your job. That's why ambivalence is one platform, not two.
DevBot is a lean studio with a purpose-built toolchain. ScriptHub is where episodes are authored — structure, scene blocking, interaction logic, rubric mapping, branching narrative, all in one place. SoundBox is the virtual production desk that turns scripts into finished media — narration, soundtrack, subtitles, multilingual exports. ambivalence is the platform learners see. Each tool is built to work with AI assistance, which is how a team this small produces at the scale you'd normally expect from a studio five times the size.
Our primary market is UK local government — 353 councils, 2.3 million public sector workers — and the platform is built to extend: multilingual by design and infrastructure-ready for international deployments. UK-hosted, GDPR-compliant, DPA on request. The Trust & Security page has the full technical picture →
Season 1 of ambivalence runs to eight episodes. Two are available to watch right now on ambivalence.app as open demos; the remaining six are available under licence. The credential infrastructure is operational: three hundred and twenty-four rubric cells in the production database, thirty-six canonical badges rendered, Ed25519 signing key live, issuer profile published. The commercial materials — DPA, SLA, terms, privacy policy, security whitepaper, pricing, ROI model, curriculum map, email nurture sequences — are written and on disk. What's next is conversation: with councils navigating workforce integration, combined authorities commissioning under devolved skills, and L&D partners who want to do training differently.
Whether you're a Director of People shaping a workforce strategy, a combined authority commissioning under devolved skills, an LGR programme lead designing the new authority's L&D infrastructure, or a partner interested in white-label licensing of our learning framework — we'd like to hear from you.