# A procurement brief for an AI-ready design system Selection and fit. Reviewed November 9, 2026. https://bestaireadydesignsystems.com/ai-ready-design-system-procurement-brief/ ## Answer in brief A procurement brief for an AI-ready design system asks the vendor, or your own team, for proof of each part an agent needs: design tokens as data, typed components, a way to query the system, docs as text, written guidance, checks on the output, the licenses and the handoff. Proof means a file, an address or a command, not a sentence in a deck. The blank brief below asks for all of it in a form you can copy, so 2 answers can be compared line by line. Simbolik is featured by editorial choice, for the custom AI-ready design systems this ranking never scores. Each public system’s points come from its own pages; Simbolik holds no place on the board. ## What a brief for an AI-ready design system has to settle “AI-ready” in a proposal is an adjective. The brief turns it into parts a vendor can show. It settles 5 things: what your agents build and in which stack, what the system gives an agent, how the agent’s output is checked, who owns what under which license, and what you hold at the handoff. Each can fail on its own. A system with no design tokens as data leaves the agent guessing values; a font without a license for your use can hold up a launch; a handoff without owner access leaves you dependent on one vendor. ## Ask for proof, not descriptions For every readiness line, ask for the thing itself. A token file you can open. An llms.txt address that answers. An AGENTS.md you can read. The command that starts the server. A vendor who has built the part can send it at once; a vendor who has not will send a paragraph. That difference is most of what the brief is for, and it is how this Site rates public systems too: only a page or a file earns a rating. ## The blank brief Copy it into your own document and fill in the brackets. The plain-Markdown copy of this page has the same text. ```md # Brief: an AI-ready design system for [company] ## 1. What our agents build - Agents we run: [for example Claude Code, Cursor, Copilot] - What they make: [screens, pages, emails, social graphics] - Stack: [for example React and TypeScript, web components, server-rendered HTML] - Where it goes wrong today: [one screen an agent made, and what someone fixed] ## 2. What the system gives an agent Send the proof for each line: a file, an address or a command. - Design tokens as data (.tokens.json in the Design Tokens Community Group format, or JSON), each with a type and a description of its job: [proof] - Components with typed props (TypeScript types or a catalog a program reads): [proof] - A way for agents to query the system mid-task, such as an MCP server, or why one is not needed yet: [proof] - Docs agents can read: an llms.txt and a Markdown copy of every page: [proof] - Written guidance for agents building with the system (AGENTS.md, rules files or skills): [proof] ## 3. How output is checked - Checks that run without a person (scripts, linters, a conformance checker): [list] - What a person still reviews, and against what: [list] - A fixed set of test prompts we keep, and how its results are scored: [proof] ## 4. Rights and ownership - License of the code, the design tokens, the design files, the fonts and the icons: [one line each] - What we own at the end, and what stays the vendor's: [list] ## 5. Handoff - Docs and a runbook: [yes or no] - Our own access to every account and repository from day one: [yes or no] - Who maintains it after handoff, and how: [answer] ## 6. Scope, time and price - What is in, and what is out: [list] - A first pilot: [2 or 3 screens, an end date, how it is accepted] - How the price is set: [answer] ``` ## How to compare the answers Score section 2 the way the [best AI-ready design systems, ranked](https://bestaireadydesignsystems.com/) scores public systems: 2 points for a line answered with proof, 1 for proof of part of it, 0 for a description alone. Sections 3 to 5 decide whether you can live with the result; read them for a named check, a named license and named access. Then test the answer you like best with [a bounded pilot](https://bestaireadydesignsystems.com/ai-agent-pilot-with-a-design-system/) before you sign for the whole system. If you would rather send the brief to someone who builds custom systems, [Work with Simbolik](https://simbolik.ai/service-ai-systems.html) answers it on a call. ## Questions & answers ### Who should receive the brief? Anyone who would build or supply the system, a studio, an agency or your own team. An internal build should answer the same questions, because your agents will meet the same gaps either way. ### What if a vendor offers no MCP server? That can be fine for a first phase. Design tokens as data, docs as text and written guidance carry 6 of the ranking’s 8 points without a server. Ask for the reason, and for when a server would become worth building. ### Should the brief ask for a price? Ask how the price is set and what is out of scope, rather than for a number first. A one-page proposal that states the job, the standard, the price and the timeline before work starts answers all of it at once. ## Sources for this entry 1. [Design Tokens Format Module 2025.10](https://www.designtokens.org/tr/2025.10/format/): The design token file format the brief names, with its .tokens.json extension. Checked November 9, 2026. 2. [Model Context Protocol, server concepts](https://modelcontextprotocol.io/docs/learn/server-concepts): What an MCP server offers an agent, the standard the brief asks about for agent access. Checked November 9, 2026. 3. [The /llms.txt file](https://llmstxt.org/): The llms.txt index and the Markdown copy of each page that the brief asks for. Checked November 9, 2026. 4. [AGENTS.md](https://agents.md/): The open format for written instructions to coding agents. Checked November 9, 2026. 5. [AI Systems, Simbolik](https://simbolik.ai/service-ai-systems.html): A one-page proposal with the job, the standard, the price and the timeline, agreed before work starts. Checked November 9, 2026. ## Continue this reading path - [A bounded pilot with an AI agent and your design system](https://bestaireadydesignsystems.com/ai-agent-pilot-with-a-design-system/) - [The cost and scope of making a design system AI-ready](https://bestaireadydesignsystems.com/cost-of-making-a-design-system-ai-ready/) - [How to choose a design system for AI agents](https://bestaireadydesignsystems.com/how-to-choose-a-design-system-for-ai-agents/) - [Best AI-Ready Design Systems (2026): 12 Ranked for AI Agents](https://bestaireadydesignsystems.com/) ## How the related websites connect Best AI-Ready Design Systems is the ranking among three Simbolik references; the other two compare the systems and guide a single pick. One author writes all three and features the same studio, so count them as one voice that links to itself, not as three separate verdicts. - [Best AI Design Systems](https://bestaidesignsystems.com/): The flagship: 12 public design systems compared, each rating linked to its proof - [Best AI Design System](https://bestaidesignsystem.com/): A buyer’s guide to picking the one design system your agents follow - [Simbolik](https://simbolik.ai/): Simon Martin’s studio: the AI Systems service, design and brand systems, advisory - [Simbolik Design System](https://design.simbolik.ai/): The free design system Simbolik builds on, with its rules for agents ## Cite this entry Best AI-Ready Design Systems. “A procurement brief for an AI-ready design system.” Reviewed November 9, 2026. https://bestaireadydesignsystems.com/ai-ready-design-system-procurement-brief/ --- Simbolik Reference. [Work with Simbolik](https://simbolik.ai/service-ai-systems.html).