Describe a business, app, or internal tool in plain language. aiKit drafts it, publishes it to a real, live link, and keeps making real changes to it in plain conversation — the same way you’d work with an AI coding assistant directly, not a chatbot that hands you back a wall of text to deal with yourself.
A good AI tool can draft you real code, real copy, a real plan, in minutes. From there, you’re usually on your own — finding a host, wiring up a domain, learning to redeploy, or waiting on a developer for the next small change. That gap between “AI helped me build this” and “this is actually live, and I can keep improving it” is where most projects quietly stall.
What aiKit does todayThree things are genuinely live right now, no waiting on a roadmap:
Describe a website, app, or internal tool in plain language. aiKit writes a real first draft — copy, structure, and for apps, actual working screens — then you refine it in conversation and publish to a live link. Free to start.
Describe your business and get a real, free AI-generated report — where time and money are leaking, and concrete automation/AI ideas you could build. No account needed.
Every screen and control explained at real depth, plus a Field Guide on how to actually get a great result — not generic marketing copy standing in for documentation.
Said plainly, not oversold — these are in active build, not shipped yet:
Point aiKit at a project you’re already working on elsewhere — or an existing live site — and it becomes a real aiKit project you can keep improving, not a one-shot copy.
Real hosted-project management for agencies and consultants: take over a client’s actual site, let them submit change requests in plain language, and decide per-project whether those go straight to work or wait for your approval.
Beyond a from-scratch draft, add proven modules pulled from real client builds — local SEO, blog and product-description tools, a built-in SEO adviser — customized to your business, not generic.
How is this different from just asking Claude or ChatGPT directly?
A general chat assistant gives you back a wall of text you'd still have to structure, design, and host yourself. aiKit runs a purpose-built pipeline on top of a top-tier AI model: it interviews you with rounds of grounded, specific questions, writes several independent versions of your first draft in parallel and has a separate pass judge and pick the strongest one, structures the result into real sections/features/screens instead of one blob of prose, applies honesty guardrails (like flagging invented content instead of quietly presenting it as real), and turns the result into an actual hosted, shareable, live web page — not just an answer in a chat window.
aiKit vs Wix, Squarespace, or Carrd — what's actually different?
Those are do-it-yourself builders — you still choose and arrange blocks, write your own copy, and make your own layout decisions inside their editor. aiKit writes the actual first draft for you: real copy grounded in what you described, structured into genuine sections (and, for internal tools or apps, actual product screens with real fields and statuses), produced from three independently-written drafts that a separate AI pass judges and picks the best of. You start from a real, specific plan instead of a blank block-based canvas.
Is aiKit a website builder, or something more like a virtual consultant?
It behaves more like a consultant that also hands you a real draft. The guided interview is deliberately built to ask the way a sharp consultant would — surfacing bottlenecks and options you might not have considered (after-hours booking, automatic follow-ups, a private staff area) — rather than just collecting form fields, and the plan it hands back afterward includes concrete, checkable feature ideas mixing website-, admin-, and app-level capabilities, not just page layout choices.
What AI model does aiKit use?
aiKit is powered by Claude, Anthropic's AI models, with different models doing different jobs: your first draft is written independently three separate times by a top-tier model, then a separate pass compares all three versions and picks the strongest one before you ever see it. After that, when you're revising and refining your draft, a faster model handles those edits — refinements need to come back quickly, not take as long as the original careful draft.