AX (Agentic Experience) Design is the discipline of designing interfaces where AI acts as a co-worker rather than a passive tool. It covers conversation flow architecture, agent personality calibration, trust signal design, transparency patterns, and human-AI handoff choreography. The goal is AI interactions that feel natural, trustworthy, and genuinely useful.

What is Generative Engine Optimization (GEO)?

GEO is the practice of making your products and content discoverable by large language models. While traditional SEO optimizes for search engine crawlers, GEO focuses on structured data, entity resolution, knowledge graph alignment, llms.txt implementation, and AI citation targeting so that LLMs recommend and reference your brand accurately.

What products has Pixelmojo built?

We have built and continue to develop two flagship AI products. Vector is an AI lead qualification engine that scores prospects across 12 dimensions before your sales team engages. Hive is a multi-agent orchestration platform where autonomous AI co-workers handle complex workflows end to end. Both are available as managed deployments with full code ownership.

What industries does Pixelmojo serve?

We work with B2B SaaS companies, fintech and financial services, healthcare and life sciences, e-commerce and retail, and professional services firms. Our sweet spot is companies that need production AI systems (not just prototypes) and want to own the code, infrastructure, and data.

Does Pixelmojo build custom AI agents?

Yes. Custom AI agent development is one of our core capabilities. We build single-purpose agents (like AI sales assistants or document processors) as well as multi-agent systems where several specialized agents coordinate autonomously. Every agent ships with observability, guardrails, and human-in-the-loop controls.

What does code ownership mean?

Code ownership means you own 100% of the source code, infrastructure, and data from day one. No vendor lock-in, no licensing fees, no proprietary frameworks. You get a production-grade codebase with documentation, deployed to your infrastructure (or ours if you prefer managed hosting). If we part ways, everything stays with you.

How does pricing work?

We offer project-based pricing scoped to deliverables, timelines, and outcomes. Most engagements start with a Revenue Opportunity Mapping phase (1 to 2 weeks) followed by a full product build (6 to 12 weeks). We do not bill hourly and we do not run open-ended retainers. Contact us for a scoped estimate based on your specific requirements.

What We Build

Pixelmojo is an AI Product Studio that designs, develops, and deploys complete AI ecosystems. From intelligent agents to multi-model orchestration, we build production systems that generate measurable revenue.

Core Capabilities

Four disciplines that define how we build AI products, from methodology to market visibility.

AI Product Development

Full-stack AI product builds from architecture to deployment. Production-grade systems with complete code ownership.

Custom AI platforms (Vector, Hive, and beyond)
RAG pipelines and vector database architecture
Multi-agent orchestration systems
LLM integration and fine-tuning workflows

Thread-Based Engineering

Governance-first AI development methodology. Parallel thread execution with structured checkpoints for predictable, secure delivery.

Security boundaries defined before the first prompt
Parallel AI agent execution on independent tasks
Structured checkpoints and quality gates
Up to 70x compression versus traditional delivery

AX Design (Agentic Experience)

Designing interfaces where AI is a co-worker, not a tool. Every interaction calibrated for trust, clarity, and human control.

Conversation flow architecture
Agent personality and tone calibration
Trust signals and transparency patterns
Human-AI handoff choreography

Generative Engine Optimization (GEO)

Making your products and content discoverable by LLMs. Structured data, entity resolution, and AI search visibility from day one.

Structured data and JSON-LD optimization
Entity resolution and knowledge graph alignment
llms.txt and AI crawler readiness
LLM citation and recommendation targeting

Products We've Built

Flagship AI products designed, developed, and deployed by our team.

Vector

AI lead qualification engine that scores prospects across 12 dimensions before your sales team picks up the phone.

60 daysto production deployment

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Hive

Multi-agent orchestration platform where autonomous AI co-workers handle complex workflows end to end.

12 weeksfull platform build

Learn more

Technology Stack

Production-tested technology selected for reliability, performance, and AI-native workflows.

AI & Intelligence

Claude (Opus, Sonnet, Haiku)Strategy & Reasoning

OpenAI GPT-4oIntelligence

Multi-Agent OrchestrationCoordination

MCP ProtocolTool Integration

RAG + pgvector / PineconeKnowledge

Development

Next.js 16 + React 19Frontend

TypeScript 5 (strict)Type Safety

Tailwind CSS 4Styling

Supabase (PostgreSQL + RLS)Database

Vercel EdgeDeployment

Growth & Optimization

GEO & Structured DataAI Visibility

IndexNowInstant Indexing

ResendTransactional Email

SentryObservability

Vercel AnalyticsPerformance

Frequently Asked Questions

Everything you need to know about working with Pixelmojo.

Thread-Based Engineering is our governance-first AI development methodology. Security boundaries, code quality standards, and workflow constraints are defined before any code is generated. Multiple AI agents then execute in parallel on independent tasks with structured checkpoints, compressing timelines up to 70x versus traditional agency delivery while maintaining zero critical vulnerabilities.

Ready to build?

Tell us what you're building and we'll scope a plan to get it into production.

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Core Capabilities

Four disciplines that define how we build AI products, from methodology to market visibility.