You will get AI Chatbot UX | AI Conversation Flows, Fallback States in Figma
Project details
Most chatbots only design the happy path. When users go off script, the bot breaks, repeats itself, or dead ends and they leave frustrated. That's a UX problem, not a technology problem.
I design the complete conversation UX for AI chatbots and copilots: every flow, every fallback, every error state, and the onboarding experience that builds user trust from message one. Whether you're building a support bot, a sales assistant, or an AI copilot I map every path and design the interface for all of it.
Everything is delivered in dev ready Figma file your engineers can build from directly.
What's included:
Conversation flow mapping happy path, branches
Fallback states for low confidence, no intent match, timeout and API errors
Onboarding sequence that captures intent
Human handoff flow with clear escalation triggers and wait state design
Typing indicators, loading states and empty state screens
Figma file with named components, and full dev annotations
Mobile and desktop variants in the same file
I've designed where autonomous agents make real decisions, so I understand the trust layer most chatbot designers skip entirely. Your users won't just tolerate the bot. They'll rely on it.
I design the complete conversation UX for AI chatbots and copilots: every flow, every fallback, every error state, and the onboarding experience that builds user trust from message one. Whether you're building a support bot, a sales assistant, or an AI copilot I map every path and design the interface for all of it.
Everything is delivered in dev ready Figma file your engineers can build from directly.
What's included:
Conversation flow mapping happy path, branches
Fallback states for low confidence, no intent match, timeout and API errors
Onboarding sequence that captures intent
Human handoff flow with clear escalation triggers and wait state design
Typing indicators, loading states and empty state screens
Figma file with named components, and full dev annotations
Mobile and desktop variants in the same file
I've designed where autonomous agents make real decisions, so I understand the trust layer most chatbot designers skip entirely. Your users won't just tolerate the bot. They'll rely on it.
Main Type
Landing Pages, Mobile Apps, Web Apps, WebsiteFile Format
Figma, PNGWhat's included
| Service Tiers |
Starter
$300
|
Standard
$500
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 9 days |
Number of Revisions | 3 | 5 | 0 |
Number of Pages | 8 | 15 | 1 |
Source Files | |||
Commercial Use | - | - | - |
Responsive Design | - | - | - |
Interactive Mockup | - | - | - |
Frequently asked questions
About Samson
Agentic UX Designer | AI Orchestration & Human-in-the-Loop Interface
Osogbo, Nigeria - 2:15 pm local time
The bottleneck for AI startups isn’t the LLM it’s the User Experience. If your users feel like they are staring into a "black box," they won't adopt your product. If they can’t intervene when an agent drifts, they’ll churn.
I am an Agentic UX Architect. I specialize in designing the high stakes interfaces where human intelligence meets machine autonomy. I help SaaS founders and Enterprise teams build AI products that prioritize Observability, Intervention, and Scalability.
THE CORE PROBLEMS I SOLVE:
The "Black Box" Problem (Observability)
Users don't trust what they can't see. I design Reasoning Logs and Thought Streams that visually represent the agent’s logic in real time, turning a mystery into a transparent process.
The Friction of Intervention (Human in the Loop)
When an AI agent needs help, the handover must be instant. I design seamless HITL (Human in the Loop) workflows that allow users to approve, edit, or veto agent actions with zero cognitive load.
Impact: Reduces human oversight time by up to 50%.
Hallucination Management (Error Recovery)
I design Guardrail UIs that flag low confidence AI outputs visually. By creating intuitive correction flows, I ensure that one AI mistake doesn't result in a lost customer.
Multi Agent Orchestration (Control Centers)
As your product scales from one agent to a fleet, the UI must adapt. I build "Command Centers" that allow administrators to monitor dozens of autonomous agents simultaneously without sensory overload.
DESIGN STACK & METHODOLOGY:
Agent Mapping: I start by mapping the "Agency vs. Control" balance of your product.
Dynamic UI Components: Designing components that change state based on AI confidence scores (e.g., Adaptive Data Tables, Confidence Pills).
Figma to Dev Precision: High fidelity prototypes that account for API latency and thinking states.
Neuro inclusive Design: Reducing the cognitive load of AI generated data to improve user retention.
THE IMPACT ON YOUR BUSINESS:
Increased Retention: Users stay when they feel in control of the AI, not dominated by it.
Faster Time to Market: My systematic approach to Agentic UX prevents "feature creep" and focuses on the core human AI interaction.
Brand Trust: Position your company as an ethical leader in the AI space through transparent and accessible design.
I don't just make it look pretty, I make it work at scale.
Most designers are still stuck in the 2024 "Chatbot" era. If you are building the future of autonomous software, you need a designer who understands Orchestration.
Skills Setup
Agentic UX Design, AI Orchestration, Human in the Loop (HITL), SaaS Product Design, Human Computer Interaction (HCI), UX Strategy, Data Visualization, Artificial Intelligence (AI) Design, Workflow Automation and Information Architecture
Ready to de-risk your AI product?
Click the 'Message' or 'Invite' button, and let’s discuss how we can optimize your Agentic workflow for maximum user trust.
Steps for completing your project
After purchasing the project, send requirements so Samson can start the project.
Delivery time starts when Samson receives requirements from you.
Samson works on your project following the steps below.
Revisions may occur after the delivery date.
Full Flows