AI generates answers faster than most people can judge whether those answers deserve trust.
That gap — between production speed and human discernment — is what The Effective Facilitator is built to close.
It's an assessment-led platform with nine disciplines for people who make decisions with AI: facilitators, managers, team leads who need to direct and question machine output rather than default to it.
The platform is live (early stage). Built on Next.js + Supabase.
Looking for:
→ Pilot organization
→ Research partner
→ Early users
→ Technical collaborator
Building this inside @HultPrizeCohort Summer 2026.
If you work in L&D, run a team using AI tools, or study human agency in AI contexts — let's talk.
https://t.co/i3csKEaNni
#TheEffectiveFacilitator #HumanJudgment #AI #WorkforceDevelopment
Shipped: Comentiq is live in production — and it ran its own campaign to prove it.
The full loop works end-to-end:
↳ Builder submits a progress update
↳ Claude drafts channel-specific campaign content, grounded only in evidence they supplied
↳ Builder approves before anything goes public
↳ Peers boost it. Partners find it.
What actually made it hard:
• An RLS policy silently dropping amplification content from the UI — found by clicking the unhappy path, not reading the logs
• A week of commits on the wrong git branch — recovered by an untracked-files check
• Three Vercel misconfigs stacked on each other causing production 404s
Stack: Next.js 14 · Supabase · Claude · TypeScript · Zod
Built for Hult Summer Cohort 2026. Public showcase is live. Partner enquiries open.
→ https://t.co/W39O81GZZ3
@roger_jgs404040
#HultCohort2026 #BuildingInPublic #AITools
After years of work, refinement and rebuilding post-pandemic, we’re stepping forward with something far greater than a one-off program.
Learn more
Investment Thesis: Leadership Infrastructure for the UN 2030 Agenda
https://t.co/W35cT6rLm4
Join us via Zoom
https://t.co/uHvcUBZuvq
I'd rather be coding badly with AI in 2025 than coding excellently by hand. Because then five years from now when AI is the only option, I'll have five years of experience and my competition will only be getting started.
I recently received an email titled “An 18-year-old’s dilemma: Too late to contribute to AI?” Its author, who gave me permission to share this, is preparing for college. He is worried that by the time he graduates, AI will be so good there’s no meaningful work left for him to do to contribute to humanity, and he will just live on Universal Basic Income (UBI). I wrote back to reassure him that there will still be plenty of work he can do for decades hence, and encouraged him to work hard and learn to build with AI. But this conversation struck me as an example of how harmful hype about AI is.
Yes, AI is amazingly intelligent, and I’m thrilled to be using it every day to build things I couldn’t have built a year ago. At the same time, AI is still incredibly dumb, and I would not trust a frontier LLM by itself to prioritize my calendar, carry out resumé screening, or choose what to order for lunch — tasks that businesses routinely ask junior personnel to do.
Yes, we can build AI software to do these tasks. For example, after a lot of customization work, one of my teams now has a decent AI resumé screening assistant. But the point is it took a lot of customization.
Even though LLMs can handle a much more general set of tasks than previous iterations of AI technology, compared to what humans can do, they are still highly specialized. They’re much better at working with text than other modalities, still require lots of custom engineering to get it the right context for a particular application, and we have few tools — and only inefficient ones — for getting our systems to learn from feedback and repeated exposure to a specific task (such as screening resumés for a particular role).
AI has stark limitations, and despite rapid improvements, it will remain limited compared to humans for a long time.
AI is amazing, but it has unfortunately been hyped up to be even more amazing than it is. A pernicious aspect of hype is that it often contains an element of truth, but not to the degree of the hype. This makes it difficult for nontechnical people to discern where the truth really is. Modern AI is a general purpose technology that is enabling many applications, but AI that can do any intellectual tasks that a human can (a popular definition for AGI) is still decades away or longer. This nuanced message that AI is general, but not that general, often is lost in the noise of today's media environment.
Similarly, the progress of frontier models is amazing! But not so amazing that they’ll be able to do everything under the sun without a lot of customization. I know VC investors who are scared to invest in application-layer startups because they are worried that frontier AI model companies will quickly wipe out all of these businesses by improving their models. While some thin wrappers around LLMs no doubt will be replaced, there also remains a huge set of valuable applications that the current trajectory of progress of frontier models won’t displace for a long time.
Without accurate information about the current state of AI and how it is likely to progress, some young people will decide not to enter AI because think think AGI leaves them no meaningful role, or decide not to learn how to code because they fear AI will automate it — right when it is the best time ever to join our field.
Let us all keep working to get to a precise understanding of what’s actually possible, and keep building!
[Original text: https://t.co/OfxCVPGKoq ]
Teachers describing AI policy as disconnected from classroom reality is just faculty discovering what IT departments learned in 2010: compliance documentation optimizes for auditors who never touch the system, not humans who have to make it work when a student's crying and the lesson plan just broke.
TThe fourth literacy transition is here. From docs → to intent-driven human–machine orchestration. Who gains agency? Who’s left behind? @roger_jgs404040 is tackling this head-on, building ALC fluency so students can shape the future - not just be shaped by it. Read Roger’s essay👇
@roger_jgs404040 Application Layer Communication is the now and the future: we’ve been writing resumes for AI to read for over a decade.
That’s expanding to everything.
@JesusFerna7026 This is the raison d'etre behind @roger_jgs404040 and @ludwitt_acaan redefining what it means to be an educated person. And like Skunk Works, a small handpicked team, minimal bureaucracy, direct communication with the customer, and immediate and continuous feedback
📸 Still thinking about what we just witnessed in Trinidad.
A graduation — but also a transformation.
Students didn’t just “complete a program.”
They rewired their future in 6 weeks.
#AILiteracy#Aieducation@lorraV@marinaasolovyov
The right hand column.
Our experience with students in Trinidad was truly game changing.
We have developed an entirely new program based on this experience.
We’re even expanding continuing education services to health and community policing units.
AI education is for everyone….and means way more than “prompting”
Learn more, DM us!
Thanks you @LorraV and all the students we connected with from the Rose Foundation!!