MindSphere: brand and Framer landing page for a Web3 AI agent orchestration platform

Overview

MindSphere is an AI orchestration platform that brings AI agents together to collaborate, solve challenges and deliver results. Users can browse individual agents or pre-configured agent teams, combine them into custom teams with a modular builder and re-offer their teams to others, while a MindSphere token drives governance, rewards and platform interactions. [1]

The platform was still in its “Coming Soon” phase. Through my studio, Beew, I spent one month in 2025 on its first public face: the brand identity, a landing page and a coming-soon page for desktop and mobile, 3D visuals and social graphics, all built in Framer.

The challenge

MindSphere wanted to answer a fragmented AI landscape with one place where agents work together. The idea is powerful but abstract, and the product wasn’t live yet.

• Make multi-agent coordination feel simple for users of every technical level.
• Build a distinct brand that signals trust, transparency and cutting-edge technology.
• Lay a scalable design foundation for fast growth and future integrations.
• Create pre-launch excitement with digital and 3D visuals while the platform was “Coming Soon”.

Goals

• Design an accessible UI that makes agent orchestration easy to understand.
• Meet the needs of developers, businesses and end users, informed by UX research.
• Create a bold brand identity around interoperability and adaptability.
• Build an interactive, scalable web presence in Framer with a consistent design system.
• Use social media designs and 3D visuals of AI use cases to build momentum before launch.

Approach

1. Ask the audience first

We surveyed developers, business leaders and non-technical users about what they expect from an AI orchestration platform’s website. The answers pointed to a simple, engaging layout with clear messaging, which shaped both pages.

2. Turn agents into characters

Abstract “agents” become cards with a face and a job title, product designer, blockchain developer, marketing specialist, and teams become groups of those cards. People understand hiring a team far faster than “multi-agent orchestration”.

3. Tease, don’t reveal

3D visuals of AI agents and a countdown hint at what the platform will do without showing unfinished functionality, so the pages build anticipation instead of over-promising.

4. A system ready for the next page

Reusable web components, one colour scheme, near-black with a signature green, and one type system keep the landing page, coming-soon page and social graphics consistent, and set the tone for future pages.

The solution

Brand identity

The logo is a geometric mark built from interlocking facets, a nod to many agents forming one system. It works as a green symbol on dark backgrounds and as a white app icon on its own construction grid.

Hero and key features

The hero states the promise in one sentence, under a 3D robot. Four feature cards follow, dynamic orchestration, unified intelligence, transparent workflow and adaptive ecosystems, each paired with an abstract 3D object.

Agent marketplace

“Explore Autonomic AI Operatives” presents agents as hireable profiles: pick single “AI wizards” or browse pre-configured teams curated by the community, such as a blockchain team or a marketing team, each with a Hire Team button.

Custom agent teams

“Establish your personalised squad of emissaries” shows the modular builder: add agents to a team, connect favourite apps, and see the operational structure from MindSphere users to marketplace, agents and creators. Users can also re-offer a ready team on the marketplace.

Problem and roadmap

“Current AI Landscape Challenges” places the MindSphere logo at the centre of a grid of problems, fragmented workflows, siloed platforms, lack of transparency, high costs, so the solution literally sits in the middle. A phase-by-phase roadmap shows where the platform stands.

Tokenomics and community

Token distribution is shown as a donut chart with a clear legend for each allocation, followed by a “Get MindSphere Token” section and community links. An FAQ grouped by topic answers the rest.

FAQ and coming-soon page

FAQ components group questions into general, technical, tokenomics, governance, platform and support. The coming-soon page repeats the promise with a countdown and waitlist, animated in Framer to build excitement while staying lightweight.

Results

• A landing page and coming-soon page that set the stage for MindSphere’s launch, with testers noting their clarity and appeal.
• Social media designs tied to the landing page’s look that supported pre-launch momentum.
• 3D visuals of AI agents that hint at real-world uses in fields like logistics and healthcare and drew interest from those industries.
• A design system that makes mockups for future pages faster to produce.

Key takeaways

• Abstract AI becomes clear when agents look like teammates you can hire.
• Before launch, tease capabilities instead of promising features.
• Put the solution in the middle of the problem, visually.
• Designing and building in Framer keeps a pre-launch site fast to change.