auxfirst is the agency built for the agentic era. auxfirst helps product teams, developers, and business leaders design AI agents that remember context, adapt over time, and earn user trust — not chatbots bolted onto old UX.
For forty years, we perfected the art of making people tap screens: fewer clicks, clearer labels, smoother flows. We called it user experience, and it won markets.
But the day software gained memory, initiative, and judgment, the rulebook changed. A product with memory isn't a tool — it's a collaborator. And collaborators don't live in workflows. They exist within the context of relationships.
We call this shift Agentic User Experience (AUX) — the discipline of designing enduring, adaptive relationships between users and systems. Software that becomes more useful, more personal, and more trusted with every interaction.
Classic UX designed for discrete tasks. AUX designs for relationships. Trust isn't a feature. It's the product. auxfirst designs trust in four stages: functional, contextual, judgment, and advocacy.
The product can hold a real conversation. Natural language replaces rigid forms.
It can do things for you — watches interactions, adapts in real time, becomes useful in the moment.
It remembers preferences, tone, and goals across sessions. It nudges and adapts like a thoughtful colleague.
It understands your team, role, and shared vocabulary. Part of how you and your people work.
We bring the rigor of UX/UI/CX agencies into the world of AI agents — helping you design, architect, and ship agentic systems that earn trust and compound value.
Design and build agent-first developer experiences — from tool-calling architecture to MCP integration and composable agent pipelines.
Transform your SaaS from a static tool into an adaptive partner. We design the interaction paradigms, generative UI, and trust scaffolding that makes AI products defensible.
Design the best agents for your business processes — from GTM automation to revenue intelligence, workflow orchestration, and decision support.
Each engagement is designed to deliver clear decisions, tangible artifacts, and implementation-ready outputs.
Align leadership on what agentic systems actually mean for your product and business.
A focused session for founders, executives, and product leaders to build a shared understanding of:
Turn abstract AI concepts into concrete product and design decisions.
A hands-on working session with product, design, and engineering teams to translate agentic principles into your actual product context. We move from theory → application → decisions.
Coming SoonIdentify where your AI product breaks trust — and how to fix it.
A structured diagnostic of your current product, assistant, or workflow using the AUX framework. We analyze how your system behaves across:
Map your business processes and design the agent experience before you build.
A focused design engagement to review how your business workflows actually operate today — then map where and how agents should act within them. We translate process reality into a coherent, implementation-ready agent experience design.
Validate your agent system works as designed — before it goes live.
A structured testing and validation engagement for teams who have designed or built an agent system. We stress-test behavior across real use cases, edge cases, and failure modes — so you ship with confidence, not fingers crossed.
Evolve your agentic system as it learns, scales, and breaks.
Ongoing strategic and design support as your product moves from first implementation to real-world complexity. We help you continuously:
Across all formats, our work is designed to be practical, structured, and reusable. You don't just get ideas — you get artifacts your team can build from:
You're a strong fit if you are:
Repeatable interaction patterns that help teams deliver agentic behavior with precision and consistency. These are architectural choices you can layer, remix, and extend.
A short exchange that clarifies the user's goal before the system acts. It avoids one-shot prompting, where agents jump to conclusions and erode trust. Establishes mutual alignment.
Make reasoning visible. Expose sources, uncertainty, and logic in ways that are digestible but not distracting. Help users calibrate trust. Make agents feel self-aware, not mysterious.
Reshape the interface in response to evolving tasks, surfacing the right tools and previews. Maintains spatial memory while adapting — feels like the product thinks alongside you.
Every agentic system needs obvious ways to undo, revise, or override. These provide psychological safety — when users know they can recover, they engage and explore more deeply.
Recall not just facts, but contextual relevance across time. Past decisions, preferred formats, recurring tasks — transparent and editable. Shifts from convenience to continuity.
Agents initiate tasks — drafts, outlines, queries — then invite the user to shape them. Creates co-authorship momentum without locking into fixed outputs. Assistant becomes collaborator.
Over-communicate early. Show reasoning and sources. Taper verbosity as trust builds — just like a human teammate.
Great agents don't just wait. They ask clarifying questions, surface uncertainties, and propose smart next steps.
Before high-stakes actions, agents pause and confirm intent. Intelligent friction that protects time, reputation, and trust.
Mature agents interpret intent and push back when it matters — showing thoughtfulness, not just obedience.
Fluidly shift between text, voice, visuals, and demos depending on what the moment calls for.
Know your limits. Hand off to humans, specialized sub-agents, or external APIs when needed.
Accumulate memory across interactions — ethically, transparently, with boundaries. Compounding value over time.
The product of time, trust, and accumulated context. That relationship can't be cloned — it's your competitive edge.
From category-defining strategy to deep technical architecture
Building AI that earns trust requires different skills at different layers. We meet each team where they are.
You're building the infrastructure. We help you design agentic APIs, agent frameworks, and developer experiences that other teams want to build on.
You're building the product. We help you design AI interactions that feel like partnerships — not parlor tricks — through proven AUX patterns and generative UI.
You're shaping the strategy. We help GTM, design, finance, and ops leaders architect agents that transform business processes with the right control-autonomy balance.
AUX isn't a weekend workshop. It's a staged transformation — and we guide you through every phase.
We map where your product sits on the AUX Evolution Curve today — conversational, task-aware, personally intelligent, or socially embedded — and identify the trust gaps.
We design the system architecture, interaction paradigms, memory models, and trust scaffolding your agents need — from intent pipelines to escape hatches.
We prototype and ship agentic flows — testing with real users to measure functional trust, contextual trust, and judgment trust at each interaction layer.
Cross-workflow memory, adaptive personalization, behavioral intelligence, and cultural fluency. This is where your product becomes irreplaceable.
When software starts to act, learn, and initiate on your behalf, it enters a new contract. It stops being a tool and starts being an agent. And agents must be trusted.
In a world of commoditized AI, trust becomes the moat. Features are replaceable. Relationships are not. We design trust into every layer.
Can it complete basic tasks reliably and predictably?
Does it understand nuance, preferences, and history?
Can it make good calls in ambiguous, novel situations?
Will it act in my best interest, even when incentives misalign?
Agentic User Experience (AUX) is the discipline of designing the trust, control, and accountability between people and AI agents — software that remembers context, takes initiative, and acts on a person's behalf. It is distinct from classic UX, which designs discrete tasks on a screen: AUX designs an enduring, adaptive relationship over time. auxfirst defined and develops the discipline.
auxfirst is an agentic experience design agency. We help product, developer, and business teams design AI agents people will actually trust — shaping the agent's intent, memory, permissions, escalation paths, and audit trail. Engagements range from a Blueprint Sprint and an Agent Experience Audit to full-stack agent-first design and Agent Process Design.
Regular UX and AI product design optimise what a person does on a screen. AUX optimises what a person lets an agent do for them — how much autonomy it has, when it asks first, what it remembers, and how a user takes back control. The shift is from designing clicks to designing delegation.
Product teams, developers, and business leaders building AI-native products and agents — especially in brand- and risk-sensitive settings like advertising, retail, finance, and FMCG, where a wrong agent action carries real cost.
We treat trust as something you design and measure, not hope for. Trust is earned in four stages — Functional, Contextual, Judgment, and Advocacy — and every consequential action is scored on the Action Heat Ladder, then matched to the right control: run silently, confirm, or require a human. Visible intent, evidence, clear autonomy boundaries, escalation paths, and an audit trail are the baseline.
Start with a conversation or a Blueprint Sprint, where we map a real workflow as it runs today and design where and how agents act within it — with a clear map of what the agent owns versus what stays human. Reach us through the contact form below.
Whether you're building agentic APIs, redesigning your SaaS for the AI era, or architecting AI-driven business processes — we'll help you do it right.
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