Agent workflow map
User goals, triggers, tool actions, handoff states, limits, fallback paths and where a human should stay in control.
Service · AI Agents & Bots
AI agents and bots for workflows that need more than a chat box.
99 Francs designs AI assistants, agent workflows, support bots, internal copilots and LLM product surfaces that are understandable, controlled and ready to build.
Web product
Secondself
Mobile app
Digsdy
Search tool
Open Company Search
150+
shipped projects
$32M+
raised by clients
9,000+
tasks delivered
Direct answer
99 Francs designs AI agents and bots around real product and workflow needs.
This service is for teams that need a custom AI assistant, workflow automation concept, chatbot UX, internal copilot, RAG flow or AI product surface before development or launch.
Deliverables
What the AI agent scope can include.
The work focuses on the visible experience and product logic: what the agent knows, what it can do, how users control it and how the workflow should behave.
Chat and task UX
Conversation structure, prompt inputs, output states, review steps, confidence cues, error states and reusable UI patterns.
Assistant product surface
High-fidelity screens for copilots, support bots, internal assistants, AI search, dashboards and launch demos.
Build-ready handoff
Interaction specs, state logic, edge cases, content rules and frontend notes for React, Next.js, API or automation teams.
Best fit
Use this when the agent has to work inside a real business flow.
The idea is promising, but the workflow is vague
We turn the agent concept into screens, states, boundaries and practical actions before engineering starts.
A chatbot alone is not enough
We design the surrounding product experience: onboarding, inputs, citations, escalation, approvals, history and reporting.
The demo needs to sell the product
We package the AI workflow into a polished MVP surface or launch demo that makes the value visible quickly.
Trust and control are unclear
We make limits, confidence, human review and next actions visible so users know when to rely on the agent.
Process
Design the agent before asking users to trust it.
The process keeps AI capability, user control and product clarity connected from first flow to build handoff.
Define the job
We identify the workflow, user roles, data sources, allowed actions, risk points and what the agent should not do.
Map states and control
We design input, response, review, escalation, memory, error and handoff states before polishing the interface.
Create the product surface
We produce the screens and interaction system for the assistant, bot, copilot, workflow or product demo.
Prepare for build
We package UI, content rules, state logic and handoff notes so the engineering team can build the workflow cleanly.
Related work
Relevant work includes AI products, search tools and workflow-heavy interfaces.
AI agents need interface clarity as much as model capability. These projects show product surfaces where complex systems had to become usable.
Web product
Secondself AI
Product at the intersection of fan culture and generative AI. Fully responsive design with a vibrant, playful visual style and a streamlined onboarding flow for creators.
Platform
Neolink AI supply chain
Full UX/UI designed from concept for an AI-powered supply chain platform. Visual identity, logo, branding guidelines, and a scalable design system — all delivered end-to-end.
Search tool
Open Company Search data
B2B analytics platform for evaluating financial health and company credibility. Advanced filtering, credit scoring, and financial performance graphs for professional users.
Mobile app
Digsdy real estate
AI-powered real estate platform that understands user queries in chat, analyzes preferences, and delivers relevant property listings in real time. Built as an MVP in Webflow.
AI Agents FAQ
Make the workflow clear before turning it into automation.
AI agent and bot design can include workflow mapping, chat UX, assistant screens, prompt inputs, output states, review steps, fallback paths, escalation logic and build-ready interaction notes.
99 Francs can design the product surface and frontend-ready experience, and can support development scopes around Next.js, product demos and web surfaces. Model infrastructure, tool integrations and backend automation are scoped separately.
No. The service can cover internal copilots, AI search, sales assistants, operations agents, workflow automation, onboarding bots and product demos.
Start with design when the workflow, user control, trust model, screen states or business value are unclear. Development is easier once those decisions are visible.