# CloudMast > CloudMast is an enterprise AI enablement firm. We help enterprises choose the right AI work, build it into real workflows, and leave teams with systems they can run. This file concatenates the public page markdown for agents that want one fetch. --- # CloudMast CloudMast is an enterprise AI enablement firm. We help enterprises choose the right work, build AI into real workflows, and leave teams with systems they can run and improve. Canonical URL: https://cloudmast.dev/ ## How we work Senior engineers work with the people who know the job, build in the customer's environment, and transfer ownership as the system proves itself. We call this a forward-deployed engineering model. 1. Focus. Choose one workflow and define the result. 2. Build. Connect AI to the work, data, and systems. 3. Prove. Measure quality, adoption, cost, and impact. 4. Transfer. Leave ownership and a repeatable pattern. ## Services - [AI Strategy](https://cloudmast.dev/ai-strategy.html): Choose the work. Prioritize use cases, define success, and align owners. - [Agentic Engineering](https://cloudmast.dev/agentic-engineering.html): Build the workflow. Create agents around real jobs, context, tools, and human decisions. - [Cloud Architecture](https://cloudmast.dev/cloud-architecture.html): Connect the foundation. Provide secure, reusable access to models, data, and systems. - [DevOps and Automation](https://cloudmast.dev/devops-automation.html): Operate with confidence. Evaluate, release, observe, and improve AI changes safely. ## AI engineering tools We help teams place Claude Code, Codex, and Cursor, then add context, controls, evaluation, and ownership. ## Next step Start with one workflow worth improving. [Contact CloudMast](https://cloudmast.dev/contact.html). --- # CloudMast AI strategy Choose the AI work worth doing. CloudMast turns scattered ideas into a focused portfolio with owners, evidence, and a path to delivery. Canonical URL: https://cloudmast.dev/ai-strategy.html ## The problem Most AI roadmaps are lists, not decisions. Teams collect use cases faster than they define value, feasibility, and ownership. - Unclear outcome. The idea sounds useful, but the business result is undefined. - Demo-first thinking. A model response is treated as proof before the workflow is tested. - No accountable owner. No team owns adoption, risk, cost, and improvement after launch. ## What we deliver A strategy teams can execute. - Portfolio choices. Rank opportunities by value, feasibility, data readiness, and risk. - Working proof. Test priority ideas with real users, real data, and a clear measure. - Scale plan. Sequence delivery, platform, governance, adoption, and ownership. ## What changes Leaders know what to fund now, what to test, and what to stop. Quality, adoption, cost, and business impact shape each decision. Every initiative has an operator, a risk owner, and a next step. [Discuss your priorities](https://cloudmast.dev/contact.html) --- # CloudMast agentic engineering Build agents for work that matters. CloudMast designs the job, context, controls, and ownership around the agent, not just the prompt. Canonical URL: https://cloudmast.dev/agentic-engineering.html ## The problem Agents fail when the job is vague. A capable model cannot rescue a poorly defined workflow. - Vague job. The agent has activity, but no clear result or boundary. - Missing context. It cannot reach the right code, data, tools, or decisions. - No quality bar. Teams cannot tell when the result is useful, safe, or worth the cost. ## What we build Reliability comes from how the agent works, what it can reach, and when people stay involved. - Workflow design. Define the job, handoffs, limits, and expected result. - Context and tools. Give the agent only the systems and information it needs. - Evaluation and guardrails. Test quality, enforce boundaries, and route exceptions to people. - Cost and ownership. Make spend, support, and improvement responsibilities visible. ## What changes Your team gets a working service and the evidence to decide where it belongs: a working agent, performance evidence, and an operating model. [Discuss an agent workflow](https://cloudmast.dev/contact.html) --- # CloudMast cloud architecture Build the platform AI teams can share. CloudMast gives teams secure, reusable access to models, data, tools, and the systems AI needs to reach. Canonical URL: https://cloudmast.dev/cloud-architecture.html ## The problem Every use case should not rebuild the foundation. One-off integrations slow delivery and make risk, reliability, and cost harder to manage. - One-off access. Each team rebuilds model, data, identity, and system connections. - Unclear ownership. No team owns reliability, support, and platform boundaries. - Hidden cost. Model, infrastructure, and support spend cannot be tied to workflows. ## What we build A shared platform for AI delivery. - Reusable services. Common access to models, data, identity, tools, and evaluation. - Resilient runtime. Clear failure handling, observability, recovery, and support paths. - Cost and ownership. Spend and operating responsibility are visible by team and workflow. [Discuss your platform](https://cloudmast.dev/contact.html) --- # CloudMast DevOps and automation Ship AI changes with confidence. CloudMast helps teams test behavior, release gradually, see what changed, and recover when results fall short. Canonical URL: https://cloudmast.dev/devops-automation.html ## The problem AI changes fail differently. Passing a software test does not prove the output is useful, safe, or worth the cost. - Tests pass, quality drops. The service runs, but output quality changes without warning. - Changes are hard to reverse. Model, prompt, and tool updates lack safe rollout and rollback paths. - Operations stay manual. Teams review quality, drift, and incidents by hand. ## What we build A repeatable delivery system for AI. - Evaluation gates. Check software behavior, output quality, cost, and risk before release. - Controlled rollout. Use flags, canaries, traceability, and rollback for every AI change. - Operational automation. Automate monitoring, routine checks, and common response paths. [Discuss your delivery flow](https://cloudmast.dev/contact.html) --- # Contact CloudMast Start with one workflow. Tell CloudMast what should improve, who does the work, and what is blocking progress. Canonical URL: https://cloudmast.dev/contact.html Best fit: enterprises moving an AI idea into real work. Response is usually within one business day. ## Public contact API `POST https://cloudmast.dev/api/contact` Send `multipart/form-data` or form fields: - `name` required - `email` required work email - `company` optional - `message` required, at least 10 characters - `cf-turnstile-response` required when Turnstile is enabled on the site form No API key is required for this endpoint. The browser form uses Cloudflare Turnstile. Scripted clients should expect 400 when validation fails. Staff can read submissions with `GET /api/admin/submissions` and a Bearer token. That key is internal. CloudMast does not issue public product API keys. [Open the contact form](https://cloudmast.dev/contact.html) --- # CloudMast developer portal Machine-readable docs, the public contact API, a sandbox, and the CloudMast CLI. Canonical URL: https://cloudmast.dev/developers CloudMast is a consulting firm, not a hosted model platform. This portal describes the public HTTP surface of cloudmast.dev. ## Quickstart 1. Read [llms.txt](https://cloudmast.dev/llms.txt) for the site map and when to use CloudMast. 2. Fetch any page with `Accept: text/markdown` to get the same URL as Markdown. 3. Use `npx cloudmast docs` or `npx cloudmast fetch /` from the CLI. ```bash curl -sI -H "Accept: text/markdown" https://cloudmast.dev/ npx cloudmast fetch / ``` ## API keys The public contact API does not use API keys. The site form is protected by Cloudflare Turnstile. `GET /api/admin/submissions` uses a staff Bearer token stored as `ADMIN_API_KEY`. That key is not available through a signup flow. ## Documentation - [OpenAPI](https://cloudmast.dev/openapi.json) - [RFC 9727 API catalog](https://cloudmast.dev/.well-known/api-catalog) - [Sitemap](https://cloudmast.dev/sitemap.xml) - [Full markdown corpus](https://cloudmast.dev/llms-full.txt) ## Sandbox The HTML portal at `/developers` can request this site with `Accept: text/markdown` and show the response. That is the sandbox. There is no hosted model playground. ## CLI ```bash npx cloudmast --help npx cloudmast pages npx cloudmast docs npx cloudmast fetch /developers ``` Publish target: the `cloudmast` package on npm.