Ready State Labs

<rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:media="http://search.yahoo.com/mrss/"
	
	>

<channel>
	<title>Ready State Labs</title>
	<link>https://readystatelabs.org</link>
	<description>Ready State Labs</description>
	<pubDate>Wed, 26 Aug 2026 04:01:26 +0000</pubDate>
	<generator>https://readystatelabs.org</generator>
	<language>en</language>
	
		
	<item>
		<title>Home</title>
				
		<link>https://readystatelabs.org/Home</link>

		<pubDate>Wed, 26 Aug 2026 02:43:52 +0000</pubDate>

		<dc:creator>Ready State Labs</dc:creator>

		<guid isPermaLink="true">https://readystatelabs.org/Home</guid>

		<description>READY STATE LABS
</description>
		
	</item>
		
		
	<item>
		<title>About</title>
				
		<link>https://readystatelabs.org/About</link>

		<pubDate>Wed, 26 Aug 2026 02:44:01 +0000</pubDate>

		<dc:creator>Ready State Labs</dc:creator>

		<guid isPermaLink="true">https://readystatelabs.org/About</guid>

		<description>Summary
Ready State Labs (RSL) is a non-profit do-tank dedicated to helping the U.S. federal government keep pace with rapidly advancing AI.  As artificial intelligence transforms society, RSL functions as an experimental and entrepreneurial lab made up of policy, government modernization, and AI experts working to equip the federal government with the expertise and capacity needed to govern and deploy AI effectively. RSL helps policymakers and implementers understand emerging AI capabilities, transform the institutions responsible for governing and adopting them, and develop practical tools that improve how government serves the American people.

Frontier AI is advancing faster than the public institutions responsible for overseeing it. Today's AI policy field is crowded with debates about safety, national security, competition, and regulation, but few address whether government has the knowledge, infrastructure, and capacity to keep pace with the technology it is being asked to govern.

America’s federal government currently struggles to:
Develop informed policy. Policymakers today lack the information and expertise needed to understand emerging AI capabilities before they become urgent policy challenges.Establish the technical foundations for adoption. Agencies and congressional institutions lack shared standards, modern data practices, evaluation frameworks, and clear technical requirements that would allow AI systems to be adopted securely, responsibly, and across institutional boundaries.Translate emerging capabilities into practical use. Congress and agencies often lack the product capacity, implementation support, and access to real-world testing needed to turn promising AI capabilities into tools that work within government.&#38;nbsp;
Left unaddressed, these gaps will keep government reactive, making consequential decisions about AI without the capacity to shape its use. RSL is a cross-partisan organization built to close them: helping Congress and executive branch agencies make informed policy, establish the technical foundations for effective AI adoption, and build the practical tools government needs to lead in the AI era.

Methods for Impact

RSL’s core insight is that government readiness cannot be built through isolated policy, infrastructure, or product interventions. These layers are interdependent: policy creates the authorities, incentives, standards, and resources needed to modernize government infrastructure; stronger infrastructure makes it possible to develop and deploy useful products; and real-world product development reveals the policy and infrastructure changes still required.


/* RSL layers: all styles are scoped to #rsl-layers. */
#rsl-layers {
  --rsl-blue: #2647cd;
  --rsl-teal: #006f68;
  --rsl-ink: #192626;
  --rsl-muted: #526363;
  --rsl-line: #d7e1e2;
  --rsl-blue-wash: #f3f6ff;
  --rsl-teal-wash: #f0f8f6;
  --rsl-ink-wash: #f4f6f6;
  container: rsl-layers / inline-size;
  isolation: isolate;
  box-sizing: border-box;
  width: 100%;
  min-width: 0;
  max-width: 1392px;
  margin: 0 auto;
  background: #fff;
  color: var(--rsl-ink);
  font-family: "Ubuntu", "Aptos", "Segoe UI", Arial, sans-serif;
  font-size: 16px;
  line-height: 1.55;
  letter-spacing: 0;
  text-align: left;
  color-scheme: light;
  -webkit-font-smoothing: antialiased;
}

#rsl-layers *,
#rsl-layers *::before,
#rsl-layers *::after {
  box-sizing: border-box;
}

#rsl-layers .rsl-layers-inner { padding: 32px 30px 48px; }
#rsl-layers .rsl-flow { position: relative; }

#rsl-layers .rsl-layer-list {
  display: grid;
  grid-template-columns: repeat(3, minmax(0, 1fr));
  gap: 64px;
  margin: 0;
  padding: 0;
  list-style: none;
}

#rsl-layers .rsl-layer {
  --layer-color: var(--rsl-blue);
  --layer-wash: var(--rsl-blue-wash);
  position: relative;
  min-width: 0;
  margin: 0;
  padding: 0;
  color: var(--rsl-ink);
  list-style: none;
}

#rsl-layers .rsl-layer::before { content: none; }
#rsl-layers .rsl-layer--infrastructure { --layer-color: var(--rsl-teal); --layer-wash: var(--rsl-teal-wash); }
#rsl-layers .rsl-layer--product { --layer-color: var(--rsl-ink); --layer-wash: var(--rsl-ink-wash); }

#rsl-layers .rsl-layer-card {
  display: flex;
  flex-direction: column;
  height: 100%;
  overflow-wrap: anywhere;
  background: #fff;
  border: 1px solid var(--rsl-line);
  border-top: 2px solid var(--layer-color);
  border-radius: 0;
  transition: transform 240ms ease, box-shadow 240ms ease, border-color 240ms ease;
}

#rsl-layers .rsl-layer-header {
  flex: 1;
  margin: 0;
  padding: 24px 26px 26px;
  background: var(--layer-wash);
  border-bottom: 1px solid var(--rsl-line);
  transition: background-color 240ms ease, border-color 240ms ease;
}

#rsl-layers .rsl-layer-number {
  display: block;
  margin: 0 0 22px;
  color: var(--layer-color);
  font: 500 12px/1.5 "SFMono-Regular", Consolas, monospace;
  letter-spacing: 0;
}

#rsl-layers .rsl-layer-title {
  margin: 0 0 8px;
  padding: 0;
  color: var(--layer-color);
  font-family: inherit;
  font-size: 26px;
  font-weight: 650;
  line-height: 1.25;
  letter-spacing: 0;
  text-transform: none;
  transition: color 240ms ease, transform 240ms ease;
}

#rsl-layers .rsl-layer-description {
  margin: 0;
  padding: 0;
  color: var(--rsl-muted);
  font-family: inherit;
  font-size: 16px;
  font-weight: 400;
  line-height: 1.55;
  letter-spacing: 0;
  text-transform: none;
  transition: color 240ms ease;
}

#rsl-layers .rsl-layer-details {
  display: grid;
  gap: 16px;
  margin: 0;
  padding: 28px 26px 32px;
  list-style: none;
}

#rsl-layers .rsl-layer-details li {
  position: relative;
  margin: 0;
  padding: 0 0 0 18px;
  color: var(--rsl-ink);
  font-family: inherit;
  font-size: 16px;
  font-weight: 400;
  line-height: 1.55;
  letter-spacing: 0;
  list-style: none;
  text-transform: none;
  transition: transform 240ms ease;
}

#rsl-layers .rsl-layer-details li:nth-child(2) { transition-delay: 35ms; }
#rsl-layers .rsl-layer-details li:nth-child(3) { transition-delay: 70ms; }

#rsl-layers .rsl-layer-details li::before {
  content: "";
  position: absolute;
  left: 0;
  top: .6em;
  width: 5px;
  height: 5px;
  background: var(--layer-color);
  border: 0;
  border-radius: 0;
}

/* Forward arrows sit in the gutters, outside the text panels. */
#rsl-layers .rsl-forward {
  position: absolute;
  top: 50%;
  right: -58px;
  display: flex;
  flex-direction: column;
  align-items: center;
  gap: 10px;
  width: 50px;
  color: var(--layer-color);
  transform: translateY(-50%);
}

#rsl-layers .rsl-arrow {
  position: relative;
  display: block;
  width: 34px;
  height: 1.5px;
  background: currentColor;
}

#rsl-layers .rsl-arrow::after {
  content: "";
  position: absolute;
  right: 0;
  top: -3px;
  width: 7px;
  height: 7px;
  border-top: 1.5px solid currentColor;
  border-right: 1.5px solid currentColor;
  transform: rotate(45deg);
}

/* The signal travels along the arrow; the whole arrow rotates on mobile. */
#rsl-layers .rsl-arrow::before {
  content: "";
  position: absolute;
  top: -2px;
  left: 0;
  width: 5px;
  height: 5px;
  border-radius: 50%;
  background: currentColor;
  opacity: 0;
  animation: rsl-layers-forward-signal 2s ease-in-out 2;
}
#rsl-layers .rsl-layer--infrastructure .rsl-arrow::before { animation-delay: 400ms; }

#rsl-layers .rsl-forward-label {
  color: var(--layer-color);
  font-family: inherit;
  font-size: 12px;
  font-weight: 500;
  line-height: 1.4;
  letter-spacing: 0;
  text-transform: none;
}

/* The return path connects the centers of Product and Policy. */
#rsl-layers .rsl-feedback {
  position: relative;
  height: 62px;
  margin: 0 calc((100% - 128px) / 6);
  border-right: 1.5px dashed var(--rsl-muted);
  border-bottom: 1.5px dashed var(--rsl-muted);
  border-left: 1.5px dashed var(--rsl-muted);
  border-radius: 0 0 14px 14px;
  color: var(--rsl-muted);
  transition: border-color 240ms ease, color 240ms ease;
}

#rsl-layers .rsl-feedback::before {
  content: "";
  position: absolute;
  left: -4.5px;
  top: 2px;
  width: 8px;
  height: 8px;
  border-top: 1.5px solid currentColor;
  border-left: 1.5px solid currentColor;
  transform: rotate(45deg);
}

#rsl-layers .rsl-feedback-label {
  position: absolute;
  left: 50%;
  bottom: 0;
  display: block;
  width: max-content;
  padding: 0 16px;
  background: #fff;
  color: var(--rsl-muted);
  font-family: inherit;
  font-size: 14px;
  font-weight: 500;
  line-height: 1.5;
  letter-spacing: 0;
  transform: translate(-50%, 50%);
  z-index: 1;
}

#rsl-layers .rsl-feedback::after {
  content: "";
  position: absolute;
  left: 100%;
  bottom: -3px;
  width: 5px;
  height: 5px;
  border-radius: 50%;
  background: var(--rsl-ink);
  opacity: 0;
  animation: rsl-layers-return-signal 4.8s ease-in-out 1;
}

/* Initial motion finishes within five seconds; hovering or focusing replays it. */
@keyframes rsl-layers-forward-signal {
  0%, 8% { left: 0; opacity: 0; }
  20% { opacity: 1; }
  65% { left: calc(100% - 5px); opacity: 1; }
  80%, 100% { left: calc(100% - 5px); opacity: 0; }
}
@keyframes rsl-layers-return-signal {
  0%, 42% { left: 100%; opacity: 0; }
  48% { opacity: 1; }
  86% { left: 0; opacity: 1; }
  94%, 100% { left: 0; opacity: 0; }
}

#rsl-layers .rsl-layer-card:focus-visible {
  outline: 2px solid var(--layer-color);
  outline-offset: 4px;
}
#rsl-layers .rsl-layer:focus-within .rsl-layer-card {
  border-color: var(--layer-color);
  box-shadow: 0 12px 28px -16px rgb(25 38 38 / 25%);
}
#rsl-layers .rsl-layer:focus-within .rsl-layer-header {
  background: var(--layer-color);
  border-color: var(--layer-color);
}
#rsl-layers .rsl-layer:focus-within :is(.rsl-layer-title, .rsl-layer-description, .rsl-layer-number) { color: #fff; }
#rsl-layers .rsl-flow:focus-within .rsl-arrow::before,
#rsl-layers .rsl-flow:focus-within .rsl-feedback::after { animation-iteration-count: infinite; }

@media (hover: hover) and (pointer: fine) {
  #rsl-layers .rsl-layer:hover .rsl-layer-card {
    transform: translateY(-6px);
    border-color: var(--layer-color);
    box-shadow: 0 16px 32px -20px rgb(25 38 38 / 30%);
  }
  #rsl-layers .rsl-layer:hover .rsl-layer-header { background: var(--layer-color); border-color: var(--layer-color); }
  #rsl-layers .rsl-layer:hover :is(.rsl-layer-title, .rsl-layer-description, .rsl-layer-number) { color: #fff; }
  #rsl-layers .rsl-layer:hover .rsl-layer-title { transform: translateX(2px); }
  #rsl-layers .rsl-layer:hover .rsl-layer-details li { transform: translateX(4px); }
  #rsl-layers .rsl-flow:hover .rsl-arrow::before,
  #rsl-layers .rsl-flow:hover .rsl-feedback::after { animation-iteration-count: infinite; }
  #rsl-layers .rsl-flow:has(.rsl-layer--product:hover) .rsl-feedback { border-color: var(--rsl-ink); color: var(--rsl-ink); }
}

#rsl-layers .rsl-sr-only {
  position: absolute;
  width: 1px;
  height: 1px;
  padding: 0;
  margin: -1px;
  overflow: hidden;
  clip-path: inset(50%);
  white-space: nowrap;
  border: 0;
}

/* Stack only at mobile viewport widths, not inside narrower desktop columns. */
@media (max-width: 650px) {
  #rsl-layers .rsl-layers-inner { padding: 24px 22px 28px; }
  #rsl-layers .rsl-layer-list { grid-template-columns: minmax(0, 1fr); gap: 58px; margin-left: 36px; }
  #rsl-layers .rsl-layer-header { padding: 22px 24px; }
  #rsl-layers .rsl-layer-number { margin-bottom: 12px; }
  #rsl-layers .rsl-layer-title { font-size: 24px; }
  #rsl-layers .rsl-layer-details { padding: 24px; gap: 13px; }
  #rsl-layers .rsl-forward { top: auto; right: auto; bottom: -46px; left: 50%; width: 110px; height: 32px; flex-direction: row; gap: 16px; transform: translateX(-17px); }
  #rsl-layers .rsl-arrow { flex: 0 0 30px; width: 30px; transform: rotate(90deg); }
  #rsl-layers .rsl-forward-label { font-size: 13px; }
  #rsl-layers .rsl-feedback { position: absolute; left: 0; top: 40px; bottom: 40px; width: 36px; height: auto; margin: 0; border-top: 1.5px dashed var(--rsl-muted); border-right: 0; border-radius: 12px 0 0 12px; }
  #rsl-layers .rsl-feedback::before { left: auto; right: 2px; top: -4.5px; transform: rotate(135deg); }
  #rsl-layers .rsl-feedback-label { left: 0; top: 50%; bottom: auto; padding: 0 14px; transform: translate(-50%, -50%) rotate(-90deg); }
  #rsl-layers .rsl-feedback::after { left: -3px; bottom: 0; animation-name: rsl-layers-return-signal-vertical; }
}

@keyframes rsl-layers-return-signal-vertical {
  0%, 42% { bottom: 0; opacity: 0; }
  48% { opacity: 1; }
  86% { bottom: 100%; opacity: 1; }
  94%, 100% { bottom: 100%; opacity: 0; }
}

@media (prefers-reduced-motion: reduce) {
  #rsl-layers *, #rsl-layers *::before, #rsl-layers *::after { animation: none !important; transition: none !important; }
  #rsl-layers .rsl-layer-card, #rsl-layers .rsl-layer-title, #rsl-layers .rsl-layer-details li { transform: none !important; }
  #rsl-layers .rsl-arrow::before, #rsl-layers .rsl-feedback::after { display: none; }
}

@media print {
  #rsl-layers { print-color-adjust: exact; -webkit-print-color-adjust: exact; }
  #rsl-layers .rsl-layer-card { break-inside: avoid; }
}

#rsl-layers .rsl-arrow::before,
#rsl-layers .rsl-feedback::after {
  animation-iteration-count: infinite;
}


    Policy enables infrastructure, and infrastructure enables product development. Lessons from product development and use feed back into policy.

    
              01
              Policy
              Set the rules and direction
            
            
              Strategy &#38;amp; education
              Standards &#38;amp; incentives
              Implementation guidance
            
          
          enables
        

              02
              Infrastructure
              Build the enabling systems
            
            
              Data standards
              Interoperable systems
              Technical capacity
            
          
          enables
        

              03
              Product
              Turn capacity into practical tools
            
            
              Use cases &#38;amp; pilots
              Workflow tools
              Adoption &#38;amp; learning
            
          
      Feedback loop
    
  
Policy: Equip policymakers with technical expertise through research, briefings, training, and direct support on emerging AI capabilities and their implications. This work will include:Supporting policymakers as they evaluate the laws, rules, standards, funding mechanisms, and governance structures needed to enable infrastructure modernization and responsible AI adoption; andConvening policymakers, technical experts, civil society, government practitioners, and AI lab advisors around urgent governance and implementation questions.Infrastructure: Identify and address the shared technical and institutional prerequisites that an AI-ready government requires. This work will include:Improving priority government data systems so they are usable for appropriate AI-enabled tools;Developing standards for metadata, MCPs, interoperability, and machine-understandability;Supporting procurement and evaluation frameworks for AI systems;Building internal technical governance practices for testing, monitoring, and auditing AI tools; andHelping public institutions move from one-off pilots to reusable infrastructure that can support many AI use cases over time.Product: Research, develop, and test practical products designed around real legislative and executive branch workflows. The key advantage of the product layer will be its ability to establish trusted partnerships on both sides of the development process, with congressional offices and agencies willing to serve as early users, and with AI labs able to contribute technical talent, compute, tools, and expertise. RSL serves as the trusted intermediary responsible for translating government needs, coordinating partnerships, and ensuring that resulting products serve public-sector priorities. Initial focus areas will include:Developing open-source AI tools for legislative and executive branch use cases and cataloging existing use cases;Testing AI applications against real government workflows, data constraints, and operational needs;Creating external evaluation methods for AI products used in public-sector contexts;Maintaining a core research and engineering team that can rapidly prototype tools in partnership with public institutions; andFunding full-time FDEs to support the last-mile execution of public-sector policy priorities.

Strategic Priorities
RSL’s initial work, chosen to meet AI’s rapidly advancing capabilities, will focus on three strategic priorities:
Applied AI Research 
RSL will conduct applied research on emerging AI capabilities, their implications for government, and the practical conditions under which they should be adopted (e.g. AI auditing or security tools). This work will translate technical developments into practical evidence, briefings, pilots, and recommendations that help policymakers and implementers understand where AI can improve government workflows, where adoption is premature or risky, and what governance questions require action.

AI Security and Cyber Resilience
As recent&#38;nbsp;agent-orchestrated attacks have revealed, agents can reason across codebases, operate tools autonomously, and surface exploitable vulnerabilities faster than most government institutions can detect or respond to them, an asymmetry that will only widen with each model generation. RSL will support the government in building what it needs to anticipate emerging AI-enabled threats and build practical security capacity.

AI-Ready and Agent-Ready Government
RSL will help government identify and address the shared technical and institutional prerequisites that enable a flexible and resilient AI-ready government. This will include developing the standards, frameworks, and technical architecture required to build internal AI tools and make public information usable by external models and agents.


RSL will work across these three strategic priorities, using its three layered methods for impact.&#38;nbsp;
The matrix below illustrates how these areas of work intersect.


  #rsl-strategy {
    --rsl-ink: #192626;
    --rsl-muted: #526363;
    --rsl-line: #d7e1e2;
    --rsl-blue: #2647cd;
    --rsl-teal: #006f68;
    --rsl-blue-wash: #f3f6ff;
    --rsl-teal-wash: #f0f8f6;
    --rsl-ink-wash: #f4f6f6;
    container: rsl-strategy / inline-size;
    isolation: isolate;
    width: 100%;
    min-width: 0;
    max-width: 1392px;
    margin: 0 auto;
    color: var(--rsl-ink);
    background: #fff;
    font-family: "Ubuntu", "Aptos", "Segoe UI", Arial, sans-serif;
    font-size: 16px;
    line-height: 1.55;
    letter-spacing: 0;
    text-align: left;
    color-scheme: light;
    -webkit-font-smoothing: antialiased;
  }
  #rsl-strategy, #rsl-strategy *, #rsl-strategy *::before, #rsl-strategy *::after { box-sizing: border-box; }
  #rsl-strategy :where(h2, h3, p, th, td, span, strong) { font-family: inherit; letter-spacing: 0; text-transform: none; }
  #rsl-strategy .rsl-work { padding: 38px 48px 40px; }
  #rsl-strategy .rsl-intro { display: grid; grid-template-columns: minmax(0,1fr) minmax(0,1.6fr); gap: 48px; align-items: end; padding-bottom: 35px; }
  #rsl-strategy .rsl-eyebrow { margin: 0 0 8px; color: var(--rsl-blue); font: 500 12px/1.5 "SFMono-Regular", Consolas, monospace; }
  #rsl-strategy .rsl-title { margin: 0; color: var(--rsl-ink); font-size: 44px; line-height: 1.15; font-weight: 650; }
  #rsl-strategy .rsl-intro-copy { margin: 0; max-width: 660px; font-size: 18px; line-height: 1.6; color: #3f5353; }
  #rsl-strategy .rsl-intro-copy strong { color: var(--rsl-ink); font-weight: 600; }
  #rsl-strategy .rsl-matrix { display: table; width: 100%; margin: 0; border: 0; border-collapse: separate; border-spacing: 0; table-layout: fixed; background: transparent; }
  #rsl-strategy .rsl-matrix col { width: 25%; }
  #rsl-strategy .rsl-matrix thead { display: table-header-group; }
  #rsl-strategy .rsl-matrix tbody { display: table-row-group; }
  #rsl-strategy .rsl-matrix tr { display: table-row; background: transparent; }
  #rsl-strategy .rsl-matrix th, #rsl-strategy .rsl-matrix td { display: table-cell; margin: 0; border: 0; color: var(--rsl-ink); text-align: left; vertical-align: top; overflow-wrap: anywhere; background: transparent; }
  #rsl-strategy .rsl-matrix thead th { padding: 19px 24px 21px; border-bottom: 1px solid var(--rsl-line); border-top: 3px solid var(--rsl-ink); }
  #rsl-strategy .rsl-matrix thead th:first-child { padding-left: 0; border-top-color: transparent; color: var(--rsl-muted); vertical-align: bottom; font: 500 12px/1.5 "SFMono-Regular", Consolas, monospace; }
  #rsl-strategy .rsl-matrix thead th:nth-child(2) { border-top-color: var(--rsl-blue); background: var(--rsl-blue-wash); color: var(--rsl-blue); }
  #rsl-strategy .rsl-matrix thead th:nth-child(3) { border-top-color: var(--rsl-teal); background: var(--rsl-teal-wash); color: var(--rsl-teal); }
  #rsl-strategy .rsl-matrix thead th:nth-child(4) { background: var(--rsl-ink-wash); }
  #rsl-strategy .rsl-col-title { display: block; font-size: 20px; font-weight: 650; line-height: 1.3; }
  #rsl-strategy .rsl-col-purpose { display: block; margin-top: 5px; font-size: 14px; font-weight: 400; color: var(--rsl-muted); }
  #rsl-strategy .rsl-matrix tbody th { padding: 27px 26px 28px 0; border-bottom: 1px solid var(--rsl-line); font-weight: 400; }
  #rsl-strategy .rsl-index { display: block; font: 500 12px/1.5 "SFMono-Regular", Consolas, monospace; color: var(--rsl-muted); margin-bottom: 9px; }
  #rsl-strategy .rsl-priority { display: block; font-size: 22px; line-height: 1.3; font-weight: 600; max-width: 250px; }
  #rsl-strategy .rsl-matrix td { padding: 28px 24px 27px; border-left: 1px solid var(--rsl-line); border-bottom: 1px solid var(--rsl-line); transition: background-color .18s ease; }
  #rsl-strategy .rsl-matrix td:last-child { border-right: 1px solid var(--rsl-line); }
  #rsl-strategy .rsl-cell-title { margin: 0 0 8px; color: var(--rsl-ink); font-size: 16px; font-weight: 650; line-height: 1.4; }
  #rsl-strategy .rsl-matrix td p { margin: 0; color: var(--rsl-muted); font-size: 16px; line-height: 1.65; }
  #rsl-strategy .rsl-mobile-label { display: none; }
  #rsl-strategy .rsl-note { display: flex; align-items: baseline; gap: 12px; padding-top: 20px; }
  #rsl-strategy .rsl-note-label { flex: 0 0 auto; color: var(--rsl-teal); font: 500 12px/1.5 "SFMono-Regular", Consolas, monospace; }
  #rsl-strategy .rsl-note p { margin: 0; color: var(--rsl-muted); font-size: 14px; line-height: 1.6; }
  #rsl-strategy .rsl-sr-only { position: absolute; width: 1px; height: 1px; padding: 0; margin: -1px; overflow: hidden; clip: rect(0,0,0,0); white-space: nowrap; border: 0; }
  @media (hover: hover) {
    #rsl-strategy .rsl-matrix tbody tr:hover td:nth-child(2) { background: var(--rsl-blue-wash); }
    #rsl-strategy .rsl-matrix tbody tr:hover td:nth-child(3) { background: var(--rsl-teal-wash); }
    #rsl-strategy .rsl-matrix tbody tr:hover td:nth-child(4) { background: var(--rsl-ink-wash); }
  }
  /* Respond to the embed's width, including narrow columns on a desktop page. */
@media (max-width: 650px) {
    #rsl-strategy .rsl-work { padding: 28px 30px 36px; }
    #rsl-strategy .rsl-intro { gap: 25px; }
    #rsl-strategy .rsl-matrix { display: block; }
    #rsl-strategy .rsl-matrix colgroup { display: none; }
    #rsl-strategy .rsl-matrix thead { position: absolute; width: 1px; height: 1px; overflow: hidden; clip-path: inset(50%); }
    #rsl-strategy .rsl-matrix tbody { display: block; }
    #rsl-strategy .rsl-matrix tbody tr { display: grid; grid-template-columns: repeat(3,minmax(0,1fr)); }
    #rsl-strategy .rsl-matrix tbody th { grid-column: 1 / -1; display: flex; align-items: baseline; gap: 16px; border: 0; padding: 28px 0 17px; }
    #rsl-strategy .rsl-matrix tbody tr:first-child th { padding-top: 0; }
    #rsl-strategy .rsl-index { margin: 0; }
    #rsl-strategy .rsl-priority { max-width: none; }
    #rsl-strategy .rsl-matrix td { display: block; padding: 20px; border-top: 2px solid var(--rsl-ink); }
    #rsl-strategy .rsl-matrix td:nth-child(2) { border-top-color: var(--rsl-blue); background: var(--rsl-blue-wash); }
    #rsl-strategy .rsl-matrix td:nth-child(3) { border-top-color: var(--rsl-teal); background: var(--rsl-teal-wash); }
    #rsl-strategy .rsl-matrix td:nth-child(4) { background: var(--rsl-ink-wash); }
    #rsl-strategy .rsl-mobile-label { display: block; font-size: 14px; font-weight: 600; margin-bottom: 17px; }
    #rsl-strategy .rsl-matrix td:nth-child(2) .rsl-mobile-label { color: var(--rsl-blue); }
    #rsl-strategy .rsl-matrix td:nth-child(3) .rsl-mobile-label { color: var(--rsl-teal); }
    #rsl-strategy .rsl-note { margin-top: 10px; }
  }
@media (max-width: 650px) {
    #rsl-strategy .rsl-work { padding: 25px 22px 30px; }
    #rsl-strategy .rsl-intro { grid-template-columns: minmax(0,1fr); gap: 19px; padding-bottom: 32px; }
    #rsl-strategy .rsl-title { font-size: 36px; }
    #rsl-strategy .rsl-intro-copy { font-size: 17px; }
    #rsl-strategy .rsl-matrix tbody tr { grid-template-columns: minmax(0,1fr); }
    #rsl-strategy .rsl-matrix tbody th { gap: 13px; padding-top: 35px; padding-bottom: 18px; }
    #rsl-strategy .rsl-priority { font-size: 23px; }
    #rsl-strategy .rsl-matrix td { border: 0; border-bottom: 1px solid var(--rsl-line); padding: 22px 20px; }
    #rsl-strategy .rsl-matrix td:last-child { border-right: 0; }
    #rsl-strategy .rsl-matrix td:nth-child(2) { border-top: 2px solid var(--rsl-blue); }
    #rsl-strategy .rsl-mobile-label { margin-bottom: 10px; }
    #rsl-strategy .rsl-note { display: block; margin-top: 8px; }
    #rsl-strategy .rsl-note-label { display: block; margin-bottom: 6px; }
  }
  @media (prefers-reduced-motion: reduce) { #rsl-strategy .rsl-matrix td { transition: none; } }


      Illustrative activities across RSL's three strategic priorities and three areas of work.
      
      
          OUR PRIORITIES
          PolicySet the rules and direction
          InfrastructureBuild the enabling systems
          ProductTurn capacity into practical tools
        
      
          01Applied AIResearch
          PolicyTranslate the frontierCapability assessments, technical briefings, and recommendations for AI adoption and oversight.
          InfrastructureResearch in practiceAgency partnerships, embedded technical teams, and shared environments for applied research and policy pilots.
          ProductTest what worksEvaluations, benchmarks, and prototypes that show what emerging AI can reliably do in government.
        
        
          02AI Security &#38;amp;Cyber Resilience
          PolicyStronger safeguardsRecommended AI security requirements, procurement criteria, and cross-agency coordination frameworks.
          InfrastructureDefensive capacitySecurity testbeds, red-team programs, and incident-reporting processes to evaluate and respond to emerging threats.
          ProductTools for defendersOpen-source tools for vulnerability detection, security monitoring, auditing, and AI-enabled defense.
        
        
          03AI-ReadyGovernment
          PolicyStandards for readinessAI- and agent-ready data standards, access rules, and proposals to strengthen technical delivery capacity.
          InfrastructureShared foundationsStructured, permissioned data environments, shared architecture, and internal teams to build and maintain systems.
          ProductBetter everyday workflowsReusable APIs and agent connectors, internal knowledge tools, and open-source congressional and agency applications.
        
      
    ILLUSTRATIVE ACTIVITIESPriorities may evolve as AI capabilities and government needs change.
  

Why Now?
Frontier AI capabilities are advancing on a timeline measured in months, not years, forcing the federal government to make decisions with global consequences at a speed its institutions were not designed to match. The next six to eighteen months will bring a series of unusually consequential policy, funding, and implementation decisions that will determine whether government builds the capacity it needs to keep pace or locks in another generation of technical debt.&#38;nbsp;

The most immediate opportunities, all of which require work to begin within the next six months, include:
Supporting the incoming 120th Congress with recommendations for congressional rules modernization, emerging AI policy packages, and AI-related provisions in the NDAA and appropriations process.Preparing policymakers for increasingly capable models, from policy recommendations and legislative language, to oversight frameworks, evaluation standards, and implementation guidance.Turning federal AI-ready data priorities into reality, including developing concrete standards, agency plans, and 2027 appropriations requests in response to the National Policy Framework for AI’s recent call for accessible AI-ready federal datasets for use in training AI systems.Integrating emerging technologies into government workflows as they mature, including rapidly developing AI security, evaluation, and auditing tools.

	
</description>
		
	</item>
		
		
	<item>
		<title>Careers</title>
				
		<link>https://readystatelabs.org/Careers</link>

		<pubDate>Wed, 26 Aug 2026 04:01:26 +0000</pubDate>

		<dc:creator>Ready State Labs</dc:creator>

		<guid isPermaLink="true">https://readystatelabs.org/Careers</guid>

		<description>Join the team


	We’re hiring our founding team. Help us change the way that government responds to and builds emerging tech in the AI era.
VP of Product (Washington, DC or San Francisco, CA)
VP of Policy (Washington, DC)
&#38;nbsp;

Director of AI Security and Cyber Resilience&#38;nbsp;(Washington, DC or San Francisco, CA)

Director of Applied AI Research&#38;nbsp;(Washington, DC or San Francisco, CA)
Chief of Staff (Washington, DC)
General Application (Washington, DC or San Francisco, CA)</description>
		
	</item>
		
	</channel>
</rss>