Frequently Asked Questions

Professional reasoning is how you evaluate, decide, communicate, and prioritise. Most AI outputs feel generic because the AI has no structured understanding of how you think. Learned Context gives you the methodology and system to fix that, no technical skills needed.

Your AI profile has three layers. The first captures how you think: decision frameworks, evaluation criteria, and your calibrated voice. The second captures who you are: your role, domain expertise, and the people you work with. The third captures your track record: past decisions, active commitments, and knowledge you have built up. All of it lives in your own storage and is read by your AI on demand.

Similar concept, different purpose. A LinkedIn profile tells people who you are. Your Learned Context profile tells your AI how you think. It packages your voice, decision standards, domain expertise, and stakeholder context in a structured format AI tools can read and apply, so every session starts from your professional baseline instead of from scratch.

Your AI profile includes a structured record of your decision-making style: the frameworks you apply, how you weigh risk, what quality looks like to you, and the patterns you want your AI to reinforce or avoid. This is what separates an AI that knows your name from one that actually reasons the way you do.

Your AI knows your name but not how you think. Without your decision frameworks, evaluation criteria, and communication style, every conversation starts from zero and defaults to generic output. Learned Context builds a structured AI profile your tool reads on demand, so it has the context it needs before you type a word.

Custom GPTs and AI project features let you store instructions, but they have no methodology for extracting how you think. They store context as unstructured text with no decision frameworks, no voice calibration, and no structured inference. Learned Context captures your professional reasoning, not just your preferences.

The membership ships with the conductor: the operating layer that applies your profile to real work. It turns your standards into reusable workflows for briefing, reviews, meeting synthesis, and day-to-day decision work, all grounded in the same calibration system.

About 30 minutes. You upload five work samples. The inference engine analyses how you think, communicate, and operate. You review the results and correct anything that is off. Then you paste two files into your AI tool. Setup is complete.

No. Built for non-technical professionals: consultants, advisors, and operations leaders who use AI daily but do not write code. The intake is a questionnaire. The connection is one link. The modules work inside the AI tools you already use.

Weekly system builds from the founder's production environment, monthly live office hours, a private group of professionals building AI profiles, shared templates, and every future system update. Not a course, not a tool marketplace.

Prompt engineering tells the AI what to do. Learned Context tells the AI who you are. A prompt says 'write a concise email.' A professional profile says 'this person opens with the conclusion, shortens sentences by 40% for senior audiences, uses questions as a persuasion device, and never buries the ask past the second paragraph.' The output difference is the difference between a template and a tailored suit.

Platform memory collects facts: 'user works in finance,' 'user prefers bullet points.' Learned Context structures your reasoning: how you evaluate, prioritise, and decide. What you weight. Where you seek more data versus moving fast. How your voice shifts by audience. The depth difference is the difference between someone remembering your name and someone understanding your judgement.

You can. Try it. Upload your five best documents and ask Claude to build a detailed profile of how you think and work. Compare the result to what Learned Context produces. The gap is in what gets extracted, how it's structured, and whether it actually changes output quality. We built the methodology through hundreds of hours of testing. The difference is measurable.

Membership is $499/year. It includes the inference engine, conductor, portable profile, setup path, ongoing updates, community access, and office hours.

The AI Productivity Audit is free and takes about two minutes. It shows where your current setup is leaking time or quality before you decide whether to join the membership.

If you try the membership and it does not work for you, contact us within 14 days for a full refund. Details are on our refund policy page at learnedcontext.com/legal/refunds.

Yes. Learned Context provides invoices suitable for corporate expense claims and professional development budgets. Contact us at [email protected] for procurement or team pricing.

Your profile and conductor files live on your device and in your AI tool's settings. Learned Context never stores your professional context on our servers. The files are plain text you own and control.

No. Your professional context lives in your own files, not on a Learned Context server. During calibration, we process your work samples transiently to generate your profile and do not retain that content.

Claude, ChatGPT, Perplexity, and any AI tool that supports project instructions or custom system prompts. Your profile is a plain text file. Paste it into your tool's settings. No integrations, no plugins, no setup beyond copy and paste.

Your profile is loaded into your AI tool's project instructions or system prompt. The AI reads it at the start of every conversation, so it already knows your reasoning frameworks, voice, and expertise before you type a word. No plugins or API connections needed.