{"generated_at":"2026-05-23T22:02:11.301Z","count":8,"data":[{"slug":"workflow","name":"Workflow Automation","status":"live","url":"https://automationswitch.com/audits/workflow","wizard_url":"/tools/audit","time":"7–10 min","benefit":"Know exactly what to automate first — and what not to touch","description":"Audit a workflow before you automate it. Score time cost, failure risk, dependency load, data quality, and judgment required so you know where automation will actually pay off.","dimensions":[{"name":"Time cost","description":"Hours lost to manual execution per cycle"},{"name":"Error rate","description":"How often mistakes occur in the current process"},{"name":"Dependency risk","description":"How many systems or people the workflow depends on"},{"name":"Data quality","description":"Consistency and cleanliness of inputs and outputs"},{"name":"Judgment required","description":"How much human decision-making the workflow needs"}],"outputs":["Ranked build order","\"Do not automate\" shortlist","Time-savings estimate per workflow","PDF summary report"],"personas":["Operations leads","Founders","Automation builders"],"interest_count":0},{"slug":"skills","name":"Agent Skills","status":"live","url":"https://automationswitch.com/audits/skills","wizard_url":"/audits/skills","time":"5–8 min","benefit":"Verify your agent skills are secure, efficient, and production-grade","description":"Audit your SKILL.md files, CLAUDE.md, and AGENTS.md for security vulnerabilities, token efficiency, and quality. 36% of community skills contain security flaws. Find out if yours are safe, well-structured, and worth the token cost.","dimensions":[{"name":"Security posture","description":"Whether skills contain prompt injection, exfiltration vectors, or command execution patterns"},{"name":"Token efficiency","description":"Whether skills stay within budget limits or consume excessive context window"},{"name":"Instruction quality","description":"Whether skills are specific, testable, and produce consistent agent output"},{"name":"Source verification","description":"Whether skill origins are traceable, maintained, and from credible publishers"},{"name":"File architecture","description":"Whether CLAUDE.md, AGENTS.md, and SKILL.md responsibilities are separated correctly"},{"name":"Coverage and gaps","description":"Whether key team workflows have dedicated skills or rely on generic agent behaviour"}],"outputs":["Security risk score","Token budget analysis","Skill quality grades","File architecture recommendations","Priority fix list"],"personas":["Platform teams","Developers","Founders"],"interest_count":0},{"slug":"agent-readable-publisher","name":"Agent-Readability","status":"live","url":"https://automationswitch.com/audits/agent-readable-publisher","wizard_url":"/audits/agent-readable-publisher","time":"5–7 min (scorecard)","benefit":"Get cited by AI assistants instead of summarised away","description":"Score your site against the methodology that earned Automation Switch 1,400+ AI assistant citations in 28 days from a content-zero relaunch. Free scorecard launching soon. Manual audit (32 checks across 9 dimensions) bookable today.","dimensions":[{"name":"Schema & structured data","description":"JSON-LD on every article (Article, BreadcrumbList, FAQPage), plus og:type and modified_time meta"},{"name":"Site-level signals","description":"llms.txt at root, /api/mcp endpoint, robots.txt configured for AI crawlers"},{"name":"URL, routing & freshness","description":"Pillar-prefixed URLs, canonicals, duplicate-slug 301s, sitemap with lastmod under 24 hours"},{"name":"Content density","description":"Definitional H1, dense H2 anchor index, key takeaways surfaced in JSON-LD"},{"name":"Author attribution","description":"schema.org Person with sameAs, stable profile URLs, visible byline on every page"},{"name":"Internal linking","description":"Breadcrumbs, related articles, pillar cross-links, indexable category pages, visible tags"}],"outputs":["9-dimension score 0–100","Top 3 issues identified","Schema + llms.txt templates (paid tiers)","30-day implementation plan (paid tiers)"],"personas":["Publishers","Authority sites","Operators"],"interest_count":0},{"slug":"tool-stack","name":"n8n Automation","status":"coming-soon","url":"https://automationswitch.com/audits/tool-stack","wizard_url":null,"time":"5–8 min","benefit":"Spot brittle nodes, hidden failures, and scaling problems early","description":"Review your n8n setup for reliability, observability, and maintainability. Find brittle nodes, weak error handling, hidden dependencies, and scaling risks before they break production.","dimensions":[{"name":"Flow reliability","description":"Whether your workflows fail gracefully instead of silently"},{"name":"Error handling","description":"How clearly failures are surfaced, retried, and recovered"},{"name":"Node sprawl","description":"Whether flows are maintainable or have become brittle chains"},{"name":"Integration depth","description":"How well your core systems are wired into the workflow graph"},{"name":"Observability","description":"How visible runs, bottlenecks, and failures are in practice"},{"name":"Scaling readiness","description":"Whether the current setup can support higher volume reliably"}],"outputs":["Reliability score","Failure-point map","n8n refactor shortlist","Observability recommendations"],"personas":["Automation builders","Operations leads","Founders"],"interest_count":0},{"slug":"notion","name":"Notion Systems","status":"coming-soon","url":"https://automationswitch.com/audits/notion","wizard_url":null,"time":"5–8 min","benefit":"Turn your workspace from a manual database into an operating system","description":"Review your Notion workspace as an operating system, not just a notes tool. Diagnose schema drift, weak handoffs, manual data entry, and database sprawl before they slow the team down.","dimensions":[{"name":"Database design","description":"Whether your schemas support clean operations instead of ad hoc workarounds"},{"name":"Workflow handoffs","description":"How clearly work moves between people, databases, and states"},{"name":"Manual burden","description":"How much repetitive data entry or upkeep the workspace still requires"},{"name":"Duplication risk","description":"Where information is maintained in multiple places and drifts"},{"name":"Permissions hygiene","description":"Whether access and editing rights match the operating model"},{"name":"Integration readiness","description":"How well the workspace can connect to automation and external tools"}],"outputs":["Systems audit score","Schema cleanup shortlist","Manual-work reduction map","Integration recommendations"],"personas":["Operations leads","Founders","Content teams"],"interest_count":0},{"slug":"content","name":"Content Pipeline","status":"coming-soon","url":"https://automationswitch.com/audits/content","wizard_url":null,"time":"5–8 min","benefit":"Automate research, distribution, and repurposing — keep the judgment","description":"Score your content operations for automation potential — research, production workflow, distribution, repurposing, analytics, and publishing pipeline.","dimensions":[{"name":"Research automation","description":"How much content research is still done manually"},{"name":"Production workflow","description":"Bottlenecks between brief and published content"},{"name":"Distribution coverage","description":"Channels being automated vs manually published to"},{"name":"Repurposing rate","description":"How much content is reused across formats and channels"},{"name":"Analytics feedback","description":"Whether performance data feeds back into planning"},{"name":"Publishing pipeline","description":"SEO metadata, scheduling, and approval automation"}],"outputs":["Automation opportunity map","Distribution gap report","Publishing pipeline score","Estimated time reclaimed per month"],"personas":["Content teams","Founders","Agencies"],"interest_count":0},{"slug":"mcp","name":"MCP Readiness","status":"coming-soon","url":"https://automationswitch.com/audits/mcp","wizard_url":null,"time":"5–8 min","benefit":"Know if your infrastructure is ready for AI agent integration","description":"Score your infrastructure for MCP integration readiness — API surface, tool-calling support, authentication posture, and agent compatibility.","dimensions":[{"name":"API surface","description":"Breadth and quality of endpoints available for tool-calling"},{"name":"Tool-calling support","description":"Whether your APIs can be called by AI agents reliably"},{"name":"Auth posture","description":"API key management, scoping, and rotation hygiene"},{"name":"Agent compatibility","description":"Schema quality, error handling, and rate limit design"},{"name":"Schema quality","description":"Whether API responses are structured and predictable"},{"name":"Rate limit handling","description":"How gracefully your API degrades under agent load"}],"outputs":["MCP readiness score","Integration gap list","Auth recommendations","Agent compatibility report"],"personas":["Platform teams","Founders","Developers"],"interest_count":0},{"slug":"agentic-ai","name":"Agentic AI","status":"coming-soon","url":"https://automationswitch.com/audits/agentic-ai","wizard_url":null,"time":"8–12 min","benefit":"Find out if your agent system is actually production-ready","description":"Score your AI agent system across framework fit, tool coverage, observability, reliability, cost control, and eval coverage. Know if your agents are production-ready.","dimensions":[{"name":"Framework fit","description":"Whether your framework matches your runtime requirements"},{"name":"Tool coverage","description":"Breadth and reliability of tools available to your agent"},{"name":"Observability","description":"Logging, tracing, and visibility into agent decisions"},{"name":"Reliability","description":"Guardrails, error handling, and graceful failure modes"},{"name":"Cost control","description":"Token budgeting, caching, and spend governance"},{"name":"Eval and testing","description":"Whether you can measure agent quality systematically"}],"outputs":["Production readiness score","Framework fit verdict","Observability gap report","Cost governance recommendations"],"personas":["Platform teams","Founders","Developers"],"interest_count":0}]}