ForgePBL uses AI to unlock the full promise of project-based learning — preparing students for an AI world.
Project-based learning has always carried an outsized promise: students doing real work, developing real skills, operating within meaningful contexts. The research is clear. The logic is sound. And yet authentic PBL remains the exception rather than the rule — confined to exceptional teachers in exceptional schools, rarely sustained at scale.
The reason is structural. Designing a genuinely authentic project requires a teacher to think like a curriculum architect, a domain expert, and a differentiation specialist simultaneously. Managing twenty-plus students at different developmental stages within a shared timeline, with no standardized playbook to fall back on, is an extraordinary cognitive load. And assessing authentic student work — evidence logs, oral presentations, research reports — takes time that most teachers simply do not have.
The result is what we call "PBL lipstick" — projects that look authentic but aren't. A compelling context introduced on day one, abandoned by day three. A driving question that decorates the unit without changing what students actually do. A final product that every student produces in essentially the same way, leaving no room for genuine agency. Students complete the work. They don't develop.
Current ed-tech tools address none of this. They assist with lesson planning generically, or manage workflow efficiently, but none embed a developmental skills framework or school-wide consistency architecture specific to authentic PBL. The complexity has simply been left for teachers to absorb alone.
ForgePBL is built around four stakeholder interfaces — administrator, teacher, student, parent — each scaffolded by AI working within school-set parameters. The platform does not replace professional judgment. It removes the hours of work that have always stood between a teacher's instincts and their students.
ForgePBL's planning interface doesn't hand a teacher a template. It has a conversation — asking what students should care about, what they'll actually produce, pushing back when a project lacks a real-world anchor. The result is a coherent project plan with every phase accounted for, none of it starting from a blank page.
Before class, a two-minute brief surfaces who made progress, who struggled, and who needs a direct check-in. At assessment, the rubric arrives pre-populated with formative evidence. The teacher reviews, adjusts, decides. The AI informs. The teacher acts. That hierarchy never reverses.
→ See a teacher's project dayA student opens ForgePBL and their active project is right in front of them. The platform coaches their work against the rubric in the background — not with generic encouragement, but with a specific next move. Before submission, a pre-submission check runs automatically. If something's missing, the student has the chance to address it before submitting — the revision loop is built into the structure.
→ See a student's project dayA curriculum director arrives weekly to a school-wide picture they've never had before: aggregate progress, skill trends, and flagged patterns across every project classroom. The data surfaces where attention is needed. The curriculum director decides what to do about it.
Parents receive plain-language updates on where their child is in the project and how their skills are developing — not grades, not standards language. For parents who want more, an interactive AI conversation draws on that child's actual project history. ForgePBL also explains why PBL looks different from traditional school, so parents become informed partners rather than skeptical observers.
ForgePBL is not a workflow tool built on generic ed-tech assumptions. It is built on a three-layer framework developed from 25+ years of direct PBL practice and grounded in the intellectual lineage of Dewey, Vygotsky, Bloom, Sizer, and Wiggins.
Defines what separates authentic PBL from traditional instruction in project clothing. Three pillars — Authenticity, Student-Centered Design, and Scaffolding — encompassing seven field-tested principles. This is the framework that guides AI support for teachers as they develop their PBL practice over time — without prescribing a one-size-fits-all methodology.
Seven developmental skill areas, spanning grades 5–12 across four stages. Growth is legible across years, not isolated within courses. Schools align the framework to their graduate profile priorities. Built around skills identified as future-critical by the WEF Future of Jobs Report, P21, ISTE, and NACE.
Six student attributes — not assessed, not in rubrics, but cultivated through the conditions authentic PBL creates. AI nudges are delivered at the moments students are most likely to need them: at transitions, at feedback moments, when a student is stalling after a setback. Aligned with CSTA 2026 and Portrait of a Graduate initiatives across 20+ states.
ForgePBL's founder spent 25+ years as a teacher, curriculum designer, and administrator at Centre Learning Community Charter School — a PBL school in State College, PA, established in 1998. Every design decision emerged from sustained practice with real students and teachers.
Built in collaboration with AI developers specializing in small language models, with FERPA compliance embedded into the architecture from the ground up.
Student data privacy is not a compliance checkbox — it is an architectural requirement. FERPA compliance is built in from the start, not retrofitted later.
Alethos is being formed as a Pennsylvania Public Benefit Corporation — legally structured to pursue a mission, not just a market.
AI is reshaping education faster than schools can respond. Knowledge-centric instruction — memorization, recall, standardized testing — is losing its rationale as AI makes information instantly accessible. What AI cannot diminish is the value of being able to think critically, collaborate, and create. These remain the skills that define human contribution in any future. These are the skills authentic PBL develops, and exactly what ForgePBL is built to cultivate.
The complexity that has always made authentic PBL unsustainable at scale — the planning burden, the differentiation demands, the assessment infrastructure — is precisely what AI can absorb. For the first time, the conditions exist to make the full promise of PBL operational in every classroom, not just the exceptional ones.
If you are building, leading, or advising on the future of learning, we'd welcome the conversation.