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Engineering11 min read

Personal Context: What to Store and What to Leave Out

What belongs in a personal context AI profile, what to leave out for privacy, and how Prompt Architects' Personal Context Library handles what you save.

NH
Nafiul Hasan
Founder, Prompt Architects

TL;DR: Personal context AI features store a profile of your role, tone, and recurring projects, then re-apply it to every prompt automatically, so you stop repeating yourself. What belongs there is anything stable and true for months. What doesn't: credentials, other people's data, health or financial specifics, anything under an NDA. It's sent with every future request, not filed away.

What is "Personal Context" in an AI prompt tool?

It's a small stored profile, a personal context AI tools pull into your prompts automatically, instead of you retyping the same background every time. Prompt Architects names it directly: the Personal Context Library, described on its own lifetime-deal page as a way to "Store your role, tone, audience, and project details once. Every prompt you write automatically inherits that context — no more repeating yourself." That's the whole mechanism in one sentence. You write it once; it gets applied silently after that.

The idea isn't unique to one product. ChatGPT's memory does something similar inside that one app, and Claude's Projects lets you attach standing instructions and files to a workspace. What's different across them is scope and control, not the underlying concept. That platform-native comparison is covered in more depth in how to give ChatGPT context without repeating yourself, if you want to weigh a single platform's built-in approach against a cross-platform one.

Why does what you store matter more than how much?

Because everything in that profile gets sent with every request that touches it, whether or not it's relevant to that specific prompt.

A context slot isn't a filing cabinet you visit occasionally. It's closer to a sticky note taped to the top of every message you send afterward. That's exactly what makes it useful: you stop re-explaining your job title in every prompt. It's also exactly what makes the wrong content risky in a way a one-off prompt isn't, because a bad line in a single prompt is a single mistake, while a bad line in stored context is a standing one, repeated on every request until you notice and remove it.

So the real design question isn't "how much can I fit in here." It's "what's worth making standing, versus what should stay a one-time detail in the prompt itself." That's the distinction the rest of this piece is about.

What should you actually store in a personal context slot?

Facts that are stable enough to still be true in three months, and general enough that you'd be comfortable if they showed up in an unrelated answer.

Reasonable candidates:

  • Your role and industry: "I'm a product manager at a B2B SaaS company" saves a sentence on almost every prompt.
  • Who you're usually writing for: a recurring audience (engineering leads, prospective customers, a specific client) so the AI doesn't default to a generic reader.
  • Your default tone: direct and concise, or warm and conversational, whatever you actually write in most of the time.
  • Recurring project or product names: anything you'd otherwise have to re-explain in every third prompt because the AI has no way to know it.
  • Standing constraints: a style guide rule you always follow, a word you never use, a format you always want output in.

Notice what these have in common: none of them are secrets, none of them are about anyone but you and your own work, and all of them would be unremarkable if they leaked into an unrelated conversation by accident. That's not a coincidence. It's close to the actual test.

What should you never put in a stored AI context?

The short version: anything that's sensitive, anything that isn't yours to share, and anything you wouldn't want repeated back to you in a completely different conversation six months from now.

Concretely, keep these out of any stored context blob, in any tool:

  1. Credentials and API keys. A stored context field is not a password manager, and it wasn't built to be one. If a key needs rotating, a context slot makes that harder, not easier, because you now have to remember it's sitting there.
  2. Other people's personal data. A colleague's home address, a client's private number, anyone's information you don't have clear standing to hand to a third-party AI service on their behalf. This is the one that's easiest to drift into by accident, usually while copying a paragraph that happens to include someone else's details along with the part you meant to keep.
  3. Specific health or financial details. Your own general context (industry, role) is fine; a specific diagnosis, account number, or salary figure is not something that needs to be standing infrastructure applied to unrelated prompts.
  4. Anything under an NDA. If you signed something saying you wouldn't disclose it, a prompt tool's servers are disclosure, full stop, regardless of how convenient it would be to have that detail always available.
  5. Anything you wouldn't want surfaced in an unrelated answer. This is the catch-all, and it's the most useful one because it doesn't require you to enumerate every category in advance. If a line would be embarrassing, risky, or just odd to see quoted back in a prompt about something else entirely, it doesn't belong in standing context.

Where does stored context actually go once you save it?

To whichever AI provider processes your prompts, on every request the context is attached to. That's exactly why what happens to it afterward is worth reading, not assuming.

Prompt Architects' own privacy policy, current as of this writing, states plainly: "We do not use your prompts to train AI models unless you explicitly opt in to such use. Your prompts are processed solely to provide you with enhanced versions and are not used for any other purpose without your consent." The same policy describes its security measures as including "Encryption of data in transit using TLS/SSL" and "Secure storage with encryption at rest", and on retention: "We retain your information for as long as your account is active or as needed to provide you services." On deletion: "We will delete your personal information within 30 days of receiving a valid request." And on the broader question of who else sees it: "We do not sell your personal information."

That policy's list of what it collects names "Prompts" explicitly as a category; it doesn't separately itemize "Personal Context" as its own line item, though a stored context slot is submitted through the same account and is reasonably covered by the same "information" the policy describes handling throughout. If that distinction matters to you, read the current policy yourself before you rely on this summary. Policies get updated, and a specific carve-out for context data may exist by the time you're reading this that didn't at verification time.

The general lesson holds beyond any one vendor: assume whatever you store gets sent to that provider's AI on every relevant request, ask what its policy says about training and retention before you rely on a feature, and prefer tools that state their policy plainly over ones that don't mention it at all.

How much can you store, and on which plan?

On Prompt Architects specifically: nothing on Free, an 8,000-character budget on Pro, and 15,000 characters on Advanced and Team. That's read directly off the plan comparison table in the pricing page's source, not the marketing copy on the plan cards. The Personal Context Library row is marked unavailable for Free and available from Pro up, with the character ceiling stepping up at Advanced.

PlanPersonal Context LibraryCharacter budget
FreeNot available
ProAvailable8,000 characters
AdvancedAvailable15,000 characters
TeamAvailable15,000 characters

If you're on the Free plan, there's no equivalent stored feature. The workaround is keeping your own short reference note somewhere outside the AI tool (a text file, a note app) and pasting the relevant two or three lines into prompts that need them. It's more manual, but it costs nothing and it's exactly as private as you keep that note yourself.

For comparison, keeping product context in every AI chat covers the same mechanism from a product manager's specific angle: recurring specs, stakeholder names, project jargon. Read it if that use case is closer to yours than the general one covered here. And if brand voice is the specific thing you're trying to keep consistent rather than general background facts, building a brand-voice AI context is the narrower guide.

A safe way to build your first context entry

Write it as if a stranger might read it back to you, because functionally, that's what happens on every future prompt. If you've already got a working library of saved prompts, building a personal AI prompt library covers the organizing side of this same habit, and the same discipline in the prompt hygiene checklist (check what you're about to send before you send it) applies just as well to what you're about to save.

Role: [job title], [industry] — e.g. "Product marketing manager, B2B fintech"
Primary audience: [who you write for most] — e.g. "Prospective enterprise customers, non-technical"
Default tone: [2-3 words] — e.g. "Direct, concrete, no filler adjectives"
Standing context: [one recurring fact worth not re-explaining] — e.g. "Our product is called
[Name]; it does [one sentence]. Assume the reader has never heard of it."

Compare that against a version that's drifted into territory it shouldn't:

# Don't do this
Role: VP of Sales at [Company] — reports directly to [full name], CEO, cell [phone number]
Client notes: [Client]'s renewal is at risk because their CFO [private detail about
another person's situation]. Our Q3 revenue target is [confidential number]. Login for
the shared dashboard: [username] / [password].

The second block fails almost every test above at once: it names a real person's private situation, embeds a live credential, and states a figure that's presumably confidential to the business, all as standing context that would ride along on prompts that have nothing to do with any of it. The fix isn't a smaller version of that block. It's recognizing that most of it belongs, if anywhere, in a specific prompt written when that specific task comes up, not in a slot that's attached to everything.

Can you edit or remove what you've already stored?

Yes, and you should treat that as an assumption you verify rather than one you take on faith. Stored context is ordinary account data, editable the same way any saved setting is, and Prompt Architects' privacy policy backs that with an explicit deletion right: a request honored within 30 days. If you've already stored something you shouldn't have (a stray credential, a client detail that was more specific than you meant to save), the fix is the same in any tool: open your account settings, edit or remove the entry, and don't treat "I'll clean it up eventually" as equivalent to having done it. Until you remove it, assume it's still attaching to your next prompt.

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Where Prompt Architects fits, and where the decision is still yours

The tool can store what you tell it and apply it automatically. That part is genuinely useful, and it's why context libraries exist at all. What no tool can do is decide for you whether a given fact is safe to make standing. That call is yours every time, and it doesn't get easier with more storage room; a 15,000-character limit on Advanced just means there's more room to put the wrong thing in, not a signal that more belongs there.

If you take one habit from this, make it the test from earlier: before you save a line to context, picture it surfacing verbatim in an answer to a question you haven't asked yet. If that's fine, store it. If it isn't, it was never a context-library problem to begin with — it was a one-time detail that belonged in a single prompt, used once, and left there.

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Works with ChatGPT, Claude, Gemini, Grok, Midjourney, Ideogram, Veo3 & Kling. 4.8★ on the Chrome Web Store.

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