Giving Your AI Builder the Project Context It Actually Needs
An AI coding agent only knows what's actually in front of it. What real project context looks like when there's no existing codebase to point at, and where to put it so it actually persists.
Quick answer
An AI coding agent doesn't know your business, your constraints or your project's purpose unless you actually tell it, and it can't infer any of that from a blank Lovable, Base44 or Bolt.new project the way it might from an existing codebase full of files and comments. Real project context means stating what the app does, who it's for, and any rule that must never be broken, and putting the parts that hold for the whole project somewhere persistent rather than typing them fresh into every prompt. Lovable and Bolt.new both offer a dedicated feature for exactly this (Knowledge, at the project or workspace/team level); Base44 and a standalone Claude Artifact don't, so restating key context deliberately as you build matters more there.
Tools for this build
The one-sentence version: it only knows what's actually in front of it
It's easy to assume an AI coding agent has picked up on your project's purpose, your audience, or a constraint you mentioned once, three prompts back. It hasn't, not automatically. A model works entirely from what's currently in its context: the conversation so far, any files it can see, and whatever persistent instructions your platform actually carries forward. Nothing outside that exists to it, no matter how obvious it feels to you. Most AI-builder guides that cover "giving context" assume you already have an existing codebase full of files and comments to reference, the way an IDE-integrated tool like GitHub Copilot or Cursor does. A genuinely new project on Lovable, Base44, Bolt.new or a fresh Claude Artifact starts from nothing, which makes stating context explicitly, not pointing at files that don't exist yet, the actual skill.
What you assume it knows vs. what it actually has
What you assume
Obvious from context, in your head:
Your business, your audience, a rule you mentioned once
What it actually has
The conversation, visible files, persistent settings:
Only what's stated, and only if it's still in context
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The four things worth stating explicitly, every time
A short, deliberate list beats an unfiltered wall of detail. What the app actually does, in plain terms, not a feature list. Who it's for, since the same feature reads differently for a small business owner than a developer. Any hard constraint that must never be violated, a compliance requirement, a rule from this site's own guide to what authentication is like "never let a client-side check decide who's authenticated." And, where relevant, why a specific request matters, since a model given the reasoning behind a task makes better calls on the details you didn't spell out. This site's own guide to writing prompts AI agents understand covers the same discipline applied to a single request; this page is about the context that should already be in place before that request is even typed.
The feature built for exactly this: persistent project knowledge
Lovable and Bolt.new both ship a dedicated feature for context that should apply to every prompt, not just the current one, called Knowledge on both platforms. On Lovable, it exists at two levels: Workspace Knowledge, managed by workspace owners and admins, applies across every project in the workspace, for standards like naming conventions or preferred libraries; Project Knowledge, editable by anyone with edit access to that project, is where your application's actual purpose, database schema and domain terminology belong. Both support up to 10,000 characters. Bolt.new's own Knowledge works the same way at three levels, Account, Project and Team, plus a separate `.bolt/ignore` file that excludes specific files or folders from Bolt's context window entirely, and a `.bolt/promptfile` for instructions applied to every prompt inside that project. Either platform, the underlying idea is the same: define it once, stop repeating it.
Base44 and Claude Artifacts handle this differently
Base44 doesn't ship a separately documented, dedicated persistent-context feature the same way Lovable's or Bolt.new's Knowledge does. The practical workaround is deliberate: restate your app's actual purpose and any hard constraint clearly and consistently as you prompt, particularly in your project's early prompts, rather than assuming a settings panel is holding it for you. A standalone Claude Artifact chat, started fresh with no separate project layer, has the same gap: nothing carries context between conversations by default. Claude Projects, a separate layer Anthropic offers on top of ordinary chats, does solve this, with custom instructions and uploaded knowledge files that persist across every conversation started inside that specific Project, the direct equivalent to building inside a real project rather than one throwaway chat.
Not every detail belongs in project-level context
More context isn't automatically better context. A wall of unfiltered detail, your entire business plan pasted into a Knowledge field, can bury the specific facts that actually matter as effectively as too little context can, and it's genuinely harder for you to keep accurate as the project changes. Keep persistent context to what's actually stable and true for the whole build; anything specific to the one change you're prompting for right now belongs in that prompt, not in a growing, increasingly stale settings field nobody revisits.
Where to go next
- The same discipline applied to a single request: Writing Prompts AI Agents Understand.
- What happens once your conversation's own context fills up: Claude Artifact Token Limits.
- A hard constraint worth stating from day one: What Is Authentication?
Not affiliated with the platforms we write about
AI Build South Africa is an independent resource. We're not endorsed by, or an official partner of, PayFast, Yoco, Peach Payments, Ozow, Meta, Lovable, Base44, Bolt.new or Anthropic. We do participate in affiliate and referral programmes with some of these providers, including Base44. See our Disclaimer for the full disclosure and our Terms of Service for the wider terms.
Frequently asked questions
What's the actual difference between a custom instruction and just typing more into my prompt?
A single prompt's context only applies to that one exchange. A persistent context feature, Lovable's or Bolt.new's Knowledge, applies to every prompt in the project from then on without you retyping it. The practical rule: anything true for the whole project, your tech stack, your business's actual purpose, a rule that must never be broken, belongs in persistent context. Anything specific to the one change you're asking for right now belongs in the prompt itself.
Does Lovable's Knowledge feature affect every project, or just the one I set it on?
Both options exist, at two separate levels. Workspace Knowledge, set in account-level settings, applies across every project in your workspace, useful for coding standards or preferences you want everywhere. Project Knowledge, set inside that specific project's settings, applies only there, and is where your specific application's purpose, database schema and domain terminology belong. Each supports up to 10,000 characters.
Does Base44 have anything like Lovable's or Bolt.new's Knowledge feature?
Not a separately documented, dedicated persistent-context feature the same way. The practical approach on Base44 is restating key context, your app's actual purpose and any hard constraints, clearly in your prompts as you build, particularly early on, rather than relying on a separate settings panel to hold it for you.
Why does my AI builder "forget" something I told it three prompts ago?
It isn't forgetting exactly, it's that a long conversation accumulates abandoned approaches and superseded instructions competing for the same limited context alongside your current request. Something stated once, several prompts back, in an otherwise busy conversation, is genuinely easy for a well-formed but simple prompt to lose track of. This is exactly why anything that has to hold for the whole project belongs in a persistent context feature, not buried in prompt history.
Should I put my whole business plan into the first prompt?
No, more isn't automatically better. The useful version is a tight, specific description: what the app does, who it's for, and any hard constraint that must never be violated. A wall of unfiltered detail can bury the parts that actually matter as much as too little context can, and it's harder for you to keep updated as the project actually changes.
Does a Claude Artifact remember context the same way?
A standalone Claude Artifact chat, started fresh, has no separate persistent-context feature the way Lovable or Bolt.new does. Claude Projects, a separate layer on top of ordinary conversations, does offer this: custom instructions and uploaded knowledge files that persist across every conversation started inside that Project. Building inside a Claude Project rather than a single ad-hoc chat is the equivalent move.
Related reading
- Describing a Bug to Your AI Agent: the same discipline, applied to reporting a failure instead of starting a build.
- Iterating on an AI-Built App Without Breaking Working Code: what happens after context is set and the build is already underway.
- Breaking Vibe-Code Loops: what missing context looks like once it's already caused a real failure.