About Clear Box

We help organizations build what's missing.

We learn from your people and data alike, then build the websites, applications, and tools that help you move forward. Along the way, we build open tools for our own work and release them for anyone to use.

Work with Clear Box See where we're speaking
Sustaining the work

Our open operating model.

How the tools stay free

Open tools · free to use

Public-good software is no good behind a paywall or restrictive licenses under proprietary control. We publish our tools in the open and build a business around helping people optimize how they work and learn.

Services · how we're paid

We charge for services, not products. We're a mission-driven for-profit and transparent about how we sustain the organization through custom design, training, technical support, advising, speaking engagements, and other mission-aligned work.

Published in the open

Work with us

An invitation to collaborate.

We take on paid projects, ongoing technical responsibility, funded research,
and co-development. Every engagement starts with listening.

See our services
Start a conversation Comment on DARP

Paid projects

Websites, inquiry tools, reporting systems, and custom applications, built around your people and constraints.

Ongoing technical responsibility

Training, technical support, and advising for the systems your team relies on, after launch and as needs change.

Funded research

Attribution, reusable context, assessment, local capability, and access to useful knowledge.

Co-development

Test commonllama and commonFrame in closed alpha, or help shape DARP by showing us where it breaks in your field.

Speaking

Talks and sessions.

We bring attribution, local AI, and open infrastructure to open education communities,
and we build every session so people leave with something they can use.

AI + OER Institute 2026 · Recorded Session

Beyond the Disclosure Statement: Attributing Human-AI Contribution in Shared Work

How to credit human and AI contributions on the same terms, with the DARP framework, a live group haiku, and a model adapting it in real time. Recorded by the Clover Park Technical College Teaching & Learning Center.

Saturday, August 8, 2026 · Online · Victoria Brame & Chris Macek

Session resources and activities Download the slides
50:21 · AI + OER Institute 2026Watch on YouTube
OEGlobal26 · Round Table

Who Gets Credit When AI Shares the Work? A Provenance Conversation

We'll invite educators to test DARP's four-stage attribution model against how they create and share work. How does it fit your practice, and where does it fall short?

Thursday, October 8, 2026 · MIT Samberg Conference Center, Cambridge, MA

Register View the session
OpenEd26 · Lightning Talk

Sowing Discord for Iterative Discovery: AI Roundtables Built on Friction

AI answers with untested confidence. This lightning talk shares how we challenge AI-assisted work through perspectives built to disagree and round after round of review, with a method you can replicate yourself.

October 27–29, 2026 · Online, On Demand · Chris Macek

Register View the session

Planning an event? Invite us to speak.

The people

Who you'll work with.

Chris Macek

Chris Macek

Co-Founder

Chris is a systems architect who builds open tools, inspectable workflows, and local-first infrastructure for Clear Box. As an audio engineer of over 20 years, he frequently found himself facilitating the creative process and gained a deep understanding of the many layers in how work gets imagined, made, refined, and readied for release. DARP, commonllama, and commonFrame represent his lived experience of that process and how he envisions work being created and attributed in the future, whether by people, AI, or both.

Connect with Chris on LinkedIn

Victoria Brame

Victoria Brame

Co-Founder

Victoria is an open education advocate who leads outreach, designs open learning materials, oversees knowledge management and documentation, and maintains the open-source repositories at Clear Box. Over a decade of public service in secondary education, academic librarianship, and the nonprofit sector exposed how often access to knowledge is fenced off by paywalls or paid for with personal data. As AI becomes part of everyday learning and working, she remains committed to advancing information literacy, critical evaluation, and learner sovereignty.

Connect with Victoria on LinkedIn

Work with us

Hire
Clear Box

Explore our services

Bring a question, a hunch, or a rough idea. Share what you’ve tried. We’ll start by listening, then figure it out together.

We take on paid projects, ongoing technical responsibility, funded research, and co-development. Start a conversation below. We reply within two business days, Monday to Friday.

Contact us Book a call hello@clrbx.org