From vague intuition to structured insight.
PromptCorrectly is a visual prompt operating system grounded in cognitive science. We don't sell prompts. We don't rent you a smarter chatbox. We teach you how to architect conversations with AI so that, eventually, you don't need us at all.
Frontier models. Mediocre output.
Everyone now has access to models that can reason like a senior analyst — and most people still get answers that read like free-tier autocomplete. The gap isn't the model. It's the handful of structural moves that separate a vague request from a precise specification. Once you see the four failure modes, you can't unsee them.
The bottleneck is never the model. It is the cognitive interface between human intent and machine inference — the gap most users never close.
Kahneman's System 1 / System 2 framing explains it: people prompt fast and intuitively, then wonder why the output is shallow. Structured prompting forces the slow, deliberate thinking the task actually needs — before a single token is generated.
Three products. One workspace.
A drag-and-drop canvas for serious composition and a cognitive-science curriculum that makes the discipline learnable — all plugged into one open Library.
Grounded in peer-reviewed research — not vibes.
Every Skill traces to a paper; every Cortex lesson cites its source. Sweller on cognitive load, Bartlett & Rumelhart on schema, Kahneman on dual-process thinking, Vaswani et al. (2017) on attention, Brown et al. (2020) on few-shot learning — plus the reasoning canon: Wei et al. (2022) on Chain-of-Thought, Kojima et al. (2022) on zero-shot reasoning, Yao et al. (2023) on Tree of Thoughts. Add the modern results — Sahoo et al. (2024) measured a 43% accuracy gain from structured prompting, and Chen et al. (2025) found domain-specific roles cut hallucinations by 31% — and the picture is clear: the defensible thing isn't the canvas, it's the open, cited repository the canvas plugs into.
You bring the key. We bring the architecture.
Your Anthropic, OpenAI, or Grok key lives in your browser — our server forwards each request and never stores, logs, or trains on it. We charge for the workspace, not your tokens, which keeps our incentives honest: we have no reason to bloat your prompts.
The AI skills gap is real — and four-flavored.
Deloitte's 2024 research identified four distinct flavors of the gap: Knowledge (you don't know what the model can do), Skill (you know but can't make it do it), Access (you have the skill but lack tooling), Trust (you can but won't, because you don't trust the output). Most professionals score lopsided. We build for all four.
One plan. Everything included.
€18.99/mo for the full workspace, plus your own API access at cost (~€3–5/mo for typical personal use). Every Cortex course — all 36 of them, a curriculum valued at $150+ — is included in your subscription. No per-course paywalls. No upsells. No feature gates.
Our goal is for you to not need us.
Most platforms keep you on the platform. We're inverted: every Cortex course ends with you internalizing a technique you can apply without opening our site. The capstone literally hands you the certificate and says "go teach someone else." That's the success metric — not retention, not MAU, but the day you write a great prompt without remembering you took our course.
Schon (1983): The reflective practitioner stops naming techniques and starts using them fluently. That's the destination.
A small team with a single bias: specificity over hype.
Founded in 2026 by an operator who got tired of paying for tools that improved his outputs but never improved his thinking. Built in six months, with the conviction that the best AI tools are the ones that work the user out of a job — not the ones that work the user into a subscription.