# quirq > Secure environments for agentic workforces. Any model, any harness, any > cloud. quirq deploys, manages and meters the agents a team already runs, and > measures what they delivered rather than what they consumed. quirq is built on one idea: the token is a good meter for what a machine consumes and a bad one for what it produces. A quirq is the output unit. A human owner budgets an outcome, the environment verifies it against captured state, and the ledger records what the work cost all-in. This file lists the pages in the site navigation. It is a map, not the corpus: each page below is the canonical source for its own subject, and the whitepaper at /whitepaper carries the full construction in prose. ## Pages - [Products](https://quirq.ai/products): Deploy an agentic workforce environment two ways. XO Cloud (Managed) is self-serve and priced per environment; bring your own cloud is licensed onto infrastructure you already own and stood up by forward-deployed engineers. Covers the harnesses you can deploy, the observability layer, the comparison between the two, and pricing. - [Research](https://quirq.ai/research): The research program behind quirq. Experiments, frameworks and field notes across three shelves (Speed Trials, From the desk, Proving grounds). Every claim ships with the result that would falsify it. Includes the agent-context studies and the replication that did not reproduce the pilot's headline. - [Writing](https://quirq.ai/writing): News, thoughts and guides. Launches and integrations, the research findings argued rather than reported, and the unit of work explained in reading order. - [Enterprise](https://quirq.ai/machinespeed): MachineSpeed, the forward-deployed engineering service built on quirq. A 45-minute call ends with a live agent in production within 24 hours, working in the apps a team already uses (Gmail, Slack, HubSpot, Salesforce, Jira and others) on any model, under scoped access, approval gates and a record of every run. Agents start on quirq's Secure Cloud and port to the customer's own cloud or on-prem in one click when they are ready. ## Notes for agents - The whitepaper is readable in full at https://quirq.ai/whitepaper, and the typeset PDF at https://quirq.ai/whitepaper/pdf is the version of record. - The documentation index is https://quirq.ai/docs. - MachineSpeed's 45-minute fit-check call is booked at https://calendly.com/machinespeed-quirq/fit-check - Correspondence: hello@quirq.ai