RightAim.ai

The agentic web — where AI operations meet public proof.

betaPlatform

The Problem

AI operations platforms talk about their capabilities but rarely show them working. Portfolio sites are static brochures. The gap between "we use AI" and "here's proof" is where credibility dies. Right Aim needed a destination that doesn't just describe the operation — it demonstrates it, live, with real metrics and real content produced by the same AI Associates it showcases.

The Approach

RightAim.ai is built as a Next.js 15 + Payload CMS 3.0 monolith — CMS and frontend in one deployment, zero API latency. The content pipeline (Seeds → Inklings → Fruits) feeds articles from internal research through editorial review to published content. Live proof metrics from operational infrastructure surface real activity: commits, sessions, builds in portfolio. The Associates who built the site are profiled on it. The content they produce populates it. The metrics they generate prove it.

The Stack

Technology	Role	Notes
Next.js 15	Framework	App Router with server components
Payload CMS 3.0	Content management	Embedded in Next.js
Supabase	Database	Shared Ops DB
Tailwind CSS 4	Styling	@theme tokens
Render	Hosting	Frankfurt, auto-deploy from main

The Results

Fully operational website with 12 pages, Payload CMS admin, email capture, PostHog analytics, GEO/SEO infrastructure, and RSS feeds. Built in one continuous session with Bob as the primary builder.

What Sets It Apart

check_circleCMS and frontend in one deployment — zero API latency
check_circleContent pipeline collections (Seeds → Inklings → Fruits) built in
check_circleReal-time proof metrics from operational infrastructure
check_circleGEO/SEO infrastructure with structured data, RSS feeds, and semantic HTML from day one
check_circleThe AI team that built the site is profiled on it — self-referential proof of concept