For mid-market to enterprise B2B SaaS product & engineering teams
Code-only approaches are great for a few agents. Not a fleet.
Code-only approaches for building agents can't keep up as an agent fleet grows: slow to ship more, unsure what's working, unable to improve without a ticket. Mindset is the harness for agents your customers use - build from composable blocks, improving from real usage, fixes you approve in conversation, not tickets.
The Problem
Code-only makes building and managing a fleet of agents really hard.
One queue, endless demand
Sales, CS, product and a big customer all want one, but every build funnels through the same engineers. The business always wants more, faster.
Is it even working?
It's live, but thumbs up/down and evals tell you nothing. You can't see whether it's actually delivering value, or what to change to make it better.
A ticket for every fix
A new MCP or prompt tweak is a code change, so every fix waits in the backlog and takes valuable engineering time.
The solution
The agent harness that takes you from a few agents to a whole fleet anyone can manage - built, run and improved from one simpler place.
And it improves itself, while you sleep - a closed loop that turns real usage into safe, approved improvements.
Improves itself, while you sleep
- Spots failures: Reads every chat, flags what's failing.
- Writes a test: Turns a failure into a test you approve.
- Suggests a fix: Drafts prompts & tools, tested per model.
- Checks it's safe: Won't ship anything that breaks what works.
- You approve: One click to ship, instant rollback.
Repeats continuously, learning across every customer.
How Mindset takes your code-only infra from a few agents to a fleet your entire team can manage
Instead of a ticket, engineer & prioritisation for everything, Mindset lets your entire team build & improve agents visually.
Assemble and adjust agents in a visual builder, with engineering's guardrails enforced, so product, support and ops build and maintain the fleet too - not just your core engineers.
A code-only approach makes you build every agent from scratch. Mindset assembles them from building blocks.
Memory, RAG, tool-calling, orchestration, generative UI - every agent is composed from the same building blocks, so each one you ship makes the next faster.
A code-only approach can't tell you if the agent's working without stitching together multiple systems. Mindset shows you exactly what to fix.
Mindset monitors real usage across every agent and customer and shows you what's working and what isn't - so you improve from the data, not guesswork, and change it in conversation, not a ticket.
Code-only frameworks leave generative UI to you, built agent by agent. Mindset gives you the tools to scale it across the fleet.
A framework gives you low-level primitives. Mindset lets you build generative UI widgets straight into your agents and tools - via Widget Studio or MCP - and render them anywhere (chat, your UI, Microsoft Teams), with shared state so each agent sees and controls the page.
A code-only agent framework locks you into an ecosystem. Mindset keeps you independent and gives you a perpetual licence to the code.
Built on open protocols and exported under a perpetual source licence, so the IP stays yours and adds to your valuation.
A code-only agent framework gives you docs, Discord and complexity. Mindset gives you experts who guarantee delivery.
Our engineers help you build the first agents alongside your team to an agreed deadline and hand over the patterns - so your people become the AI experts.
Build, deploy and improve - from one place.
Build: Build agents and gen-UI experiences from building blocks, in a visual studio.
- Set the agent's purpose, personality and guardrails, choose or add your own LLM, and give it Plans for multi-step orchestration and Skills for reusable expertise. Ingest content via our APIs, connect your own RAG, or sync from a source like SharePoint.
- Connect your systems: expose your own APIs as MCP servers in your infrastructure, or bring any third-party MCP server. Data never leaves your infra.
- Build generative UI widgets in the Widget Studio that render inside the chat - cards, forms, comparisons and charts - styled to your own design system.
Deploy: Have complete control over how you deploy inside your product, with APIs and SDKs.
- Serve thousands of customers from one agent: each user's session is assembled at runtime via an API call to Mindset, binding that customer's own knowledge, tools, skills and permissions, so one agent runs as thousands of isolated versions.
- Integrate the Agent Chat SDK for a ChatGPT- or Claude-grade experience out of the box - voice, multimedia, canvas - or go headless and render agents in your own front-end components.
- Let agents see and act on the page, not just talk: pass your page state so agents see what the user's looking at, register front-end actions so agents control the existing UI, and have them start conversations off your own backend events.
Improve: Know whether agents are actually working, and fix them without a ticket.
- See exactly how agents are interacting with users - dashboards capture every conversation: what's asked, sentiment, themes, content gaps and where they fall short.
- Anyone - product, support, ops, engineering - can improve an agent without a ticket: change a prompt, guardrail or content in the studio and test the change before it goes live.
- Surface the data anywhere you work - pipe reports and events to your own data lake so your customers can view it, or use Mindset's built-in dashboards and reports.
Frequently asked questions
Does Mindset replace my existing stack or framework?
No - it plugs into what you already have (bring your own framework, RAG, MCP servers) and adds the assemble/deploy/improve layer on top.
Do we keep ownership of what we build?
Yes - open protocols, widgets export as standard React, fork the framework under a perpetual source licence. The IP stays yours.
Where does our data live?
In your infrastructure. Your MCP servers run in your environment; agents only work on scoped data; raw records never leave. ISO 27001, GDPR-ready, EU AI Act-aligned.
Can non-engineers really build and change agents?
Yes - engineering wires systems in once and sets guardrails; product, support and ops then build and improve in the visual studio, no code, no deploy.
How do we serve lots of customers from one agent?
Each user's session is assembled at runtime via a single API call, binding that customer's own knowledge, tools, skills and permissions - one agent runs as thousands of isolated versions.
What surfaces can agents run on?
Agent Chat SDK (ChatGPT/Claude-grade, voice, multimedia, canvas) or headless; in-app, web, mobile, Slack, Microsoft Teams; and proactively off your events.
How is this different from a frontend framework like CopilotKit?
A frontend framework gives you components to assemble the UI yourself, in code, one per tool. Mindset gives the whole harness (assemble, deploy multi-tenant, scale generative UI, improve from usage) and works with any framework.
Do we have to use your models?
No - model-agnostic; choose from available LLMs or bring your own.
How do we know an agent is working, and how do we improve it?
Observability dashboards capture every conversation; test with Preview and Test Cases; fix in config with no redeploy; export to your data lake or use built-in reports.
What support do we get setting it up?
Forward-deployed engineers build the first agents alongside your team to an agreed deadline and hand over the patterns.