SocsAI turns your code, data, and docs into lessons, probes what you actually know, and coaches with hints before answers, calling concepts back until they stick.
The full answer is always available — revealing it is just always a choice.
That's Soc. Socrates asked questions in the agora; Soc asks them in your codebase. He reads your work, remembers what you understand, and refuses to skip the part where you think because that's the part that compounds.
(Yes, those are socks.)
Copilot wrote the function. ChatGPT fixed the bug. The pipeline works but somewhere in there, your understanding stopped compounding.
It works until it doesn't. Then the debugging is archaeology, the interview question lands on exactly the thing you pasted, and the judgment you meant to build never showed up.
One loop, from your material to your own mental model.
Upload the notebook, point at the repo, drop in the PDF. SocsAI reads what you're actually working with and teaches on that, not toy examples. Everything it tells you is grounded in your sources or a cited search.
Sources · what the tutor knows about
4 sources read · every lesson claim cites one of them (or a live search).
Each lesson is built by a research-first pipeline: outline the concepts, gather evidence from your material and the live web, draft, then review. The writer never sees raw sources, only vetted research, so it can't make things up.
Generating · Lesson 05 — reranking
Every lesson starts with a think-prompt: commit to a position before the explanation. Your answer fuels the system further. What it reveals shapes what the lesson emphasizes next.
Lesson 03 · Retrieval — opening prompt
Think first
Your users ask pointed questions against 400 pages of internal docs. Before reading on — why retrieval, instead of stuffing everything into the context window?
In session, the tutor probes why you chose what you chose. Stuck? Hints come graduated: nudge, targeted hint, worked sub-step, full answer. Revealing is always possible — and always a choice you make, not a default you fall into.
Hint ladder · rung 2 of 4
Rung 4 asks “Sure? You're close.” — then gives you everything, no scolding.
Every exchange updates a per-concept mastery model. Shaky concepts get flagged, resurface in quizzes, and get called back in later sessions until “I think I get it” becomes “let me show you.”
Your map · 3 of 14 concepts
⚑ context-mgmt missed twice — queued for your next quiz and Thursday's session.
gives you code you'll paste and forget.
teach everyone the same thing in the same order.
teaches you, on your project, until you can explain it back.
No — the ladder always ends in the full answer. SocsAI just makes revealing it a deliberate step instead of the default, because the choice is where the learning happens.
Anything technical you're trying to actually understand — coding, data science, ML, AI systems. The first cohort goes deep on AI engineering: RAG, context management, orchestration, human-in-the-loop.
Free during the beta. The early cohort locks founder pricing when paid plans arrive.
Socrates. Also, socks. We know.