Your Zo Computer team for AI that runs your business

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flex-direction: column; gap: 1rem; } .lca-fit-item { display: flex; align-items: flex-start; gap: 1rem; } .lca-fit-content h4 { font-size: 1rem; font-weight: 600; color: var(--dark); margin: 0 0 4px 0; } .lca-fit-content p { font-size: 0.9rem; color: var(--body); margin: 0; line-height: 1.5; } .lca-callout-red { background: rgba(220,38,38,0.04); border-left: 3px solid #dc2626; border-radius: 0 var(--radius-sm) var(--radius-sm) 0; padding: 24px 28px; margin-top: 1.5rem; } .lca-emph-red { color: #dc2626; font-weight: 500; } .zo-badge { display: inline-flex; align-items: center; gap: 10px; background: var(--bg-white); border: 1px solid var(--border); border-radius: var(--radius-pill); padding: 8px 16px 8px 10px; box-shadow: var(--shadow-sm); transition: box-shadow 0.25s ease, transform 0.25s ease; } .zo-badge:hover { box-shadow: var(--shadow-md); transform: translateY(-2px); } .zo-badge-dot { width: 28px; height: 28px; border-radius: 50%; background: linear-gradient(135deg, var(--primary), #8b6df6); display: inline-flex; align-items: center; justify-content: center; flex-shrink: 0; } .zo-badge-dot svg { width: 16px; height: 16px; color: var(--accent); } .zo-badge-label { font-size: 0.8rem; font-weight: 600; color: var(--dark); letter-spacing: 0.01em; } .zo-badge-label strong { color: var(--primary); font-weight: 700; } .zo-badge-row { display: flex; justify-content: center; } @media (max-width: 991px) { .lca-grid-3 { grid-template-columns: repeat(2, 1fr); } } @media (max-width: 767px) { .lca-grid-2, .lca-grid-3, .lca-bento { grid-template-columns: 1fr; gap: 2rem; } .lca-bento-heading { position: static; } } </style> <div class='section_why-zo'> <div class='padding-global padding-section-large'> <div class='container-large'> <div class='lca-bento'> <div class='lca-bento-heading'> <span class='lca-pill'>Our Approach</span> <h2 class='lca-h2' style='margin-top:0.75rem;'>Why we choose <strong>Zo Computer.</strong></h2> <p class='lca-body' style='margin-top:1rem'>At LOW/CODE Agency, we choose Zo when a business needs AI that acts, remembers, integrates, and lives inside the same tools the team already works in. Zo treats AI as infrastructure: persistent, connected, and built for the way real teams operate.</p> <span class='zo-badge' style='margin-top:1.5rem;'> <span class='zo-badge-dot'> <svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='2.5'><path stroke-linecap='round' stroke-linejoin='round' d='M5 13l4 4L19 7'/></svg> </span> <span class='zo-badge-label'>Official <strong>Zo Computer</strong> Partner</span> </span> </div> <div class='lca-grid-2'> <div class='lca-card'> <div class='lca-icon-wrap'> <svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M13 10V3L4 14h7v7l9-11h-7z'/></svg> </div> <h3 class='lca-h3'>When AI needs to act</h3> <p class='lca-body'>Zo agents run on schedule, push to Slack and Telegram, draft emails in your inbox, and complete tasks autonomously. Persistent operators that move work without prompts.</p> </div> <div class='lca-card'> <div class='lca-icon-wrap'> <svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M9.663 17h4.673M12 3v1m6.364 1.636l-.707.707M21 12h-1M4 12H3m3.343-5.657l-.707-.707m2.828 9.9a5 5 0 117.072 0l-.548.547A3.374 3.374 0 0014 18.469V19a2 2 0 11-4 0v-.531c0-.895-.356-1.754-.988-2.386l-.548-.547z'/></svg> </div> <h3 class='lca-h3'>When AI needs to know your business</h3> <p class='lca-body'>Each deployment carries your processes, SOPs, team structure, and history, so agents make decisions like someone who actually works there.</p> </div> <div class='lca-card'> <div class='lca-icon-wrap'> <svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M13.828 10.172a4 4 0 00-5.656 0l-4 4a4 4 0 105.656 5.656l1.102-1.101m-.758-4.899a4 4 0 005.656 0l4-4a4 4 0 00-5.656-5.656l-1.1 1.1'/></svg> </div> <h3 class='lca-h3'>When AI needs to live inside your stack</h3> <p class='lca-body'>Native connections to Gmail, Slack, Calendar, your CRM, your analytics, your phone system. Agents work where your team already works.</p> </div> <div class='lca-card'> <div class='lca-icon-wrap'> <svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M9 12l2 2 4-4m5.618-4.016A11.955 11.955 0 0112 2.944a11.955 11.955 0 01-8.618 3.04A12.02 12.02 0 003 9c0 5.591 3.824 10.29 9 11.622 5.176-1.332 9-6.03 9-11.622 0-1.042-.133-2.052-.382-3.016z'/></svg> </div> <h3 class='lca-h3'>When AI needs to be yours</h3> <p class='lca-body'>Zo runs on infrastructure you control, uses the AI models you choose (Claude, GPT, open-source), and stays portable as the AI landscape evolves.</p> </div> </div> </div> </div> </div> </div> <div class='section_what-zo' style='background: var(--bg-light);'> <div class='padding-global padding-section-large'> <div class='container-large'> <div style='text-align:center; max-width:720px; margin:0 auto 3rem;'> <span class='lca-pill'>What We Build</span> <h2 class='lca-h2' style='margin-top:0.75rem;'>What we build with <strong>Zo.</strong></h2> <p class='lca-body' style='margin-top:1rem'>With Zo, we design and deploy AI workforces: fleets of custom agents that own the parts of your operation costing the most time and attention.</p> </div> <div class='lca-grid-2' style='max-width:880px; margin:0 auto;'> <div class='lca-card'> <div class='lca-icon-wrap'> <svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M15 19.128a9.38 9.38 0 002.625.372 9.337 9.337 0 004.121-.952 4.125 4.125 0 00-7.533-2.493M15 19.128v-.003c0-1.113-.285-2.16-.786-3.07M15 19.128v.106A12.318 12.318 0 018.624 21c-2.331 0-4.512-.645-6.374-1.766l-.001-.109a6.375 6.375 0 0111.964-3.07M12 6.375a3.375 3.375 0 11-6.75 0 3.375 3.375 0 016.75 0zm8.25 2.25a2.625 2.625 0 11-5.25 0 2.625 2.625 0 015.25 0z'/></svg> </div> <h3 class='lca-h3'>AI Employees</h3> <p class='lca-body'>Custom agents configured for specific roles like executive assistant, project manager, sales follow-up, or content curator. Each one trained on your operation and connected to your team's tools.</p> </div> <div class='lca-card'> <div class='lca-icon-wrap'> <svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M15 12a3 3 0 11-6 0 3 3 0 016 0z'/><path stroke-linecap='round' stroke-linejoin='round' d='M2.458 12C3.732 7.943 7.523 5 12 5c4.478 0 8.268 2.943 9.542 7-1.274 4.057-5.064 7-9.542 7-4.477 0-8.268-2.943-9.542-7z'/></svg> </div> <h3 class='lca-h3'>Operational Intelligence Systems</h3> <p class='lca-body'>Always-on agents that monitor your business, flag stalled deals, surface missed commitments, and report overdue invoices before anyone has to ask.</p> </div> <div class='lca-card'> <div class='lca-icon-wrap'> <svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M9 17.25v1.007a3 3 0 01-.879 2.122L7.5 21h9l-.621-.621A3 3 0 0115 18.257V17.25m6-12V15a2.25 2.25 0 01-2.25 2.25H5.25A2.25 2.25 0 013 15V5.25m18 0A2.25 2.25 0 0018.75 3H5.25A2.25 2.25 0 003 5.25m18 0V12a2.25 2.25 0 01-2.25 2.25H5.25A2.25 2.25 0 013 12V5.25'/></svg> </div> <h3 class='lca-h3'>AI-Powered Internal Tools</h3> <p class='lca-body'>Custom interfaces where your team interacts with your AI workforce. Daily briefings, on-demand answers from your knowledge base, dashboards that talk back.</p> </div> <div class='lca-card'> <div class='lca-icon-wrap'> <svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M10.5 6a7.5 7.5 0 107.5 7.5h-7.5V6z'/><path stroke-linecap='round' stroke-linejoin='round' d='M13.5 10.5H21A7.5 7.5 0 0013.5 3v7.5z'/></svg> </div> <h3 class='lca-h3'>Workflow Automation Stacks</h3> <p class='lca-body'>Scheduled agents and event-driven flows that handle reporting, drafting, scheduling, and follow-up so your team focuses on the work they are actually paid to do.</p> </div> </div> </div> </div> </div> <div class='section_who-zo'> <div class='padding-global padding-section-large'> <div class='container-large'> <div class='lca-bento'> <div class='lca-bento-heading'> <span class='lca-pill'>Ideal Fit</span> <h2 class='lca-h2' style='margin-top:0.75rem;'>Who is Zo implementation <strong>for?</strong></h2> <p class='lca-body' style='margin-top:1rem'>Zo is the right choice when your business has moved past AI experiments and needs AI integrated into how the company actually runs. Real workflows, real tools, real outcomes.</p> </div> <div> <div class='lca-fit-list' style='margin-top:0;'> <div class='lca-fit-item'> <span class='lca-step-num'>1</span> <div class='lca-fit-content'> <h4>Founders Drowning in Coordination</h4> <p>CEOs and operators running through dozens of inboxes, calls, and tools every day. Zo gives you an executive layer that keeps you in context without the orientation tax every morning.</p> </div> </div> <div class='lca-fit-item'> <span class='lca-step-num'>2</span> <div class='lca-fit-content'> <h4>Operations Teams Tired of Generic AI</h4> <p>Teams that tried ChatGPT or copilots and watched adoption stall because the tools missed business context and the integrations that matter.</p> </div> </div> <div class='lca-fit-item'> <span class='lca-step-num'>3</span> <div class='lca-fit-content'> <h4>Service Businesses with Process Debt</h4> <p>Companies that depend on consistent client delivery and lose hours to status updates, follow-ups, and reporting nobody actually reads.</p> </div> </div> <div class='lca-fit-item'> <span class='lca-step-num'>4</span> <div class='lca-fit-content'> <h4>Mid-Market Companies Ready to Operationalize AI</h4> <p>Businesses past the experimentation phase that want AI embedded into how the company runs, with measurable ROI behind every agent deployed.</p> </div> </div> </div> <div class='lca-callout-red'> <span class='lca-pill-red'>Not the Right Fit If</span> <p class='lca-body' style='margin-top:0.75rem;'>You want a <span class='lca-emph-red'>pure consumer chatbot</span>, you need <span class='lca-emph-red'>single-user workflows</span>, your team has <span class='lca-emph-red'>no documented processes</span>, or your data is <span class='lca-emph-red'>fully air-gapped</span>. Zo thrives where there are real processes to capture and real tools to connect.</p> </div> </div> </div> </div> </div> </div>

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} .zo-spotlight-metrics { gap: 1.5rem; } } </style> <div class='section_case-zo'> <div class='padding-global padding-section-large'> <div class='container-large'> <div class='zo-spotlight'> <div> <span class='zo-spotlight-tag'>Case Study · AI Employees at LOW/CODE Agency</span> <p class='zo-spotlight-quote'>We deployed 17 AI Employees inside our own agency first. We know exactly what works.</p> <p class='zo-spotlight-body'>We ran the same Zo implementation we sell. 17 custom agents across executive intelligence, accountability, finance, marketing, and HR. The result rewrote how a 40-person global agency operates.</p> <p class='zo-spotlight-attr'><strong>Jesus Vargas</strong>, Founder &amp; CEO</p> </div> <div class='zo-spotlight-side'> <div class='zo-spotlight-metrics'> <div class='zo-spotlight-metric'> <span class='zo-spotlight-metric-value'>90%</span> <span class='zo-spotlight-metric-label'>of follow-up automated</span> </div> <div class='zo-spotlight-metric'> <span class='zo-spotlight-metric-value'>20</span> <span class='zo-spotlight-metric-label'>CEO hours recovered monthly</span> </div> </div> <a class='zo-spotlight-cta' href='/case-studies/ai-employees'> Read Case Study <svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='2'><path stroke-linecap='round' stroke-linejoin='round' d='M17 8l4 4m0 0l-4 4m4-4H3'/></svg> </a> </div> </div> </div> </div> </div> <div class='section_process-zo' style='background: var(--bg-light);'> <div class='padding-global padding-section-large'> <div class='container-medium'> <div style='text-align: center; margin-bottom: 3rem;'> <h2 class='lca-h2'>Our implementation <strong>process.</strong></h2> <p class='lca-body' style='margin-top: 1rem; max-width: 640px; margin-left: auto; margin-right: auto;'>A structured approach designed to turn scattered operations into an AI workforce your team relies on every day.</p> </div> <div class='lca-steps-list'> <div class='lca-step'> <span class='lca-step-num'>1</span> <div class='lca-step-content'> <h4>Operations Audit &amp; AI Readiness Assessment</h4> <p>We map every workflow that consumes time, identify which ones agents can own, and document the knowledge required to run them. You leave discovery with a clear picture of which agents to build first and the ROI behind each one.</p> <div class='lca-step-tags'><span class='lca-step-tag'>1-2 weeks</span><span class='lca-step-tag'>Audit report</span><span class='lca-step-tag'>Agent roadmap</span></div> </div> </div> <div class='lca-step'> <span class='lca-step-num'>2</span> <div class='lca-step-content'> <h4>Knowledge Base &amp; Agent Architecture</h4> <p>We translate your SOPs, team roles, and processes into structured documents agents can query. Each agent's role, triggers, integrations, and escalation rules are designed before a single line of code is written.</p> <div class='lca-step-tags'><span class='lca-step-tag'>1-2 weeks</span><span class='lca-step-tag'>Knowledge base</span><span class='lca-step-tag'>Agent specs</span></div> </div> </div> <div class='lca-step'> <span class='lca-step-num'>3</span> <div class='lca-step-content'> <h4>Build &amp; Iterate</h4> <p>We build agents in priority order, deploying them to your Zo environment as they are ready. Each one runs against real data, gets validated in context, and is iterated on based on actual output before the next is built.</p> <div class='lca-step-tags'><span class='lca-step-tag'>3-6 weeks</span><span class='lca-step-tag'>Working agents in phases</span></div> </div> </div> <div class='lca-step'> <span class='lca-step-num'>4</span> <div class='lca-step-content'> <h4>Testing &amp; Calibration</h4> <p>We run each agent under real conditions: live calendars, real Slack channels, actual inboxes. Escalation thresholds get tuned, edge cases get fixed, and outputs feel natural before your team relies on them.</p> <div class='lca-step-tags'><span class='lca-step-tag'>1 week</span><span class='lca-step-tag'>QA &amp; handoff doc</span></div> </div> </div> <div class='lca-step'> <span class='lca-step-num'>5</span> <div class='lca-step-content'> <h4>Launch &amp; Team Training</h4> <p>We onboard your team to working alongside the agents. Each one gets a playbook documenting what it does, how to override it, and when to escalate. Champions are identified, and we monitor outputs daily during the first week.</p> <div class='lca-step-tags'><span class='lca-step-tag'>Included</span><span class='lca-step-tag'>Training</span><span class='lca-step-tag'>Agent playbooks</span></div> </div> </div> <div class='lca-step'> <span class='lca-step-num'>6</span> <div class='lca-step-content'> <h4>Support &amp; Evolution</h4> <p>Agents evolve as your business evolves. We provide ongoing tuning, new agent development, and infrastructure support. Most clients add 2-4 new agents in the first six months as the team identifies more opportunities.</p> <div class='lca-step-tags'><span class='lca-step-tag'>Ongoing</span><span class='lca-step-tag'>Retainer support</span></div> </div> </div> </div> </div> </div> </div> <div class='section_qa-zo'> <div class='padding-global padding-section-large'> <div class='container-large'> <div class='lca-bento'> <div class='lca-bento-heading'> <h2 class='lca-h2'>How LOW/CODE Agency works with <strong>Zo.</strong></h2> <p class='lca-body' style='margin-top:1rem'>Straight answers to the questions every operations leader asks before committing to an AI workforce deployment.</p> </div> <div class='lca-grid-2'> <div class='lca-card'> <span class='lca-pill'>Engagement</span> <h3 class='lca-h3' style='margin-top:0.75rem;'>What does a typical Zo implementation look like?</h3> <p class='lca-body'>We start by understanding where your operation actually loses time: coordination, follow-up, reporting, drafting. From there, we design a fleet of AI Employees configured for those specific gaps, connected to your real tools, and trained on how your business actually runs.</p> </div> <div class='lca-card'> <span class='lca-pill'>Timeline</span> <h3 class='lca-h3' style='margin-top:0.75rem;'>How long does a typical implementation take?</h3> <p class='lca-body'>Most deployments take 4-10 weeks depending on the number of agents and the complexity of your knowledge base. A focused 2-4 agent pilot lands closer to 8 weeks. Full operational suites with 10+ agents take longer. We deploy iteratively, so the first agents are running while we build the next ones.</p> </div> <div class='lca-card'> <span class='lca-pill'>Security</span> <h3 class='lca-h3' style='margin-top:0.75rem;'>Where does my data live? Is it secure?</h3> <p class='lca-body'>Zo runs on a dedicated environment provisioned for your organization. You own the data, your agents only see what you grant them, and we connect to AI models via your own API keys when needed. Your prompts and business data stay inside infrastructure you chose.</p> </div> <div class='lca-card'> <span class='lca-pill'>Support</span> <h3 class='lca-h3' style='margin-top:0.75rem;'>What kind of ongoing support do you provide?</h3> <p class='lca-body'>After the pilot, most clients move into an ongoing partnership starting at ~$10K/month. That covers a dedicated team handling continuous agent development, new integrations, knowledge base updates, and priority support. Agents evolve with your operation, and that ongoing iteration is the model.</p> </div> <div class='lca-card'> <span class='lca-pill'>Team</span> <h3 class='lca-h3' style='margin-top:0.75rem;'>Who will be on my project team?</h3> <p class='lca-body'>A focused team: an AI implementation lead who owns architecture, a product engineer who handles the build and integrations, and a strategist who maps your operation. For larger deployments, we add a data engineer and a dedicated QA lead. 2-4 people maximum, with direct access to the lead.</p> </div> </div> </div> </div> </div> </div> <script> (function(){ var steps = document.querySelectorAll('.lca-step'); if (!steps.length) return; var observer = new IntersectionObserver(function(entries) { entries.forEach(function(entry) { if (entry.isIntersecting) { entry.target.classList.add('lca-visible'); } }); }, { threshold: 0.15 }); steps.forEach(function(step) { observer.observe(step); }); })(); </script>

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} .lca-tech-grid { grid-template-columns: repeat(3, 1fr); } } @media (max-width: 767px) { .lca-faqs-grid { grid-template-columns: 1fr; gap: 2rem; } .lca-tech-grid { grid-template-columns: repeat(2, 1fr); } } </style> <div class='section_compare-zo'> <div class='padding-global padding-section-large'> <div class='container-large'> <div style='text-align:center; max-width:720px; margin:0 auto 3rem;'> <h2 class='lca-h2'>Zo <strong>vs alternatives.</strong></h2> <p class='lca-body' style='margin-top:1rem'>How Zo compares to the most common ways teams try to put AI to work, and where each one breaks down.</p> </div> <div class='zo-comp-wrap'> <table class='zo-comp-table'> <thead> <tr> <th>Dimension</th> <th class='zo-comp-zo-head'>Zo Computer</th> <th>ChatGPT / Claude</th> <th>Make / Zapier / n8n</th> <th>Custom AI Build</th> </tr> </thead> <tbody> <tr> <td class='zo-comp-dim'>Persistent business memory</td> <td class='zo-comp-zo'>Yes, embedded</td> <td class='zo-comp-other'>No, session-based</td> <td class='zo-comp-other'>Limited</td> <td class='zo-comp-other'>Yes, engineering required</td> </tr> <tr> <td class='zo-comp-dim'>Acts on schedule</td> <td class='zo-comp-zo'>Yes, native</td> <td class='zo-comp-other'>No, manual prompts</td> <td class='zo-comp-other'>Yes, trigger-based</td> <td class='zo-comp-other'>Yes, engineering required</td> </tr> <tr> <td class='zo-comp-dim'>Knows your business</td> <td class='zo-comp-zo'>Trained on your SOPs</td> <td class='zo-comp-other'>None</td> <td class='zo-comp-other'>None</td> <td class='zo-comp-other'>Engineering-dependent</td> </tr> <tr> <td class='zo-comp-dim'>Tool integrations</td> <td class='zo-comp-zo'>Deep, configurable</td> <td class='zo-comp-other'>Limited connectors</td> <td class='zo-comp-other'>Wide, shallow</td> <td class='zo-comp-other'>Fully custom</td> </tr> <tr> <td class='zo-comp-dim'>Model flexibility</td> <td class='zo-comp-zo'>Any model (BYOK)</td> <td class='zo-comp-other'>Vendor-locked</td> <td class='zo-comp-other'>Vendor-tied</td> <td class='zo-comp-other'>Fully open</td> </tr> <tr> <td class='zo-comp-dim'>Speed to deploy</td> <td class='zo-comp-zo'>8-14 weeks</td> <td class='zo-comp-other'>Days, shallow</td> <td class='zo-comp-other'>Weeks, rigid</td> <td class='zo-comp-other'>4+ months</td> </tr> <tr> <td class='zo-comp-dim'>Ongoing maintenance</td> <td class='zo-comp-zo'>Low, agent tuning</td> <td class='zo-comp-other'>None</td> <td class='zo-comp-other'>Low</td> <td class='zo-comp-other'>High, dedicated team</td> </tr> <tr> <td class='zo-comp-dim'>Best for</td> <td class='zo-comp-zo'>AI workforce inside an org</td> <td class='zo-comp-other'>Individual productivity</td> <td class='zo-comp-other'>Workflow plumbing</td> <td class='zo-comp-other'>Production AI products</td> </tr> <tr> <td class='zo-comp-dim'>Cost range</td> <td class='zo-comp-zo'>$10K pilot + $10K-$20K+/mo</td> <td class='zo-comp-other'>$20-$200/user/mo</td> <td class='zo-comp-other'>$20-$10K/mo</td> <td class='zo-comp-other'>$80K-$500K+</td> </tr> </tbody> </table> </div> </div> </div> </div> <div class='section_tech-zo' style='background: var(--bg-light);'> <div class='padding-global padding-section-large'> <div class='container-large'> <div style='text-align:center; margin-bottom:3rem; max-width:720px; margin-left:auto; margin-right:auto;'> <h2 class='lca-h2'>The stack that extends <strong>Zo.</strong></h2> <p class='lca-body' style='margin-top:1rem'>Zo sits at the center. Around it, the tools your team already uses, connected, contextualized, and accessible to every agent we deploy.</p> </div> <div class='lca-tech-grid'> <div class='lca-tech-card'> <img src='https://cdn.prod.website-files.com/61cbac3939c94d3d3a94b3d2/69975a82bfc1b0417f7c5b71_anthropic-logo.avif' alt='Anthropic' class='lca-tech-logo' loading='lazy'/> <p class='lca-tech-name'>Anthropic (Claude)</p> <p class='lca-tech-desc'>Primary reasoning engine for most agents. Deep context, reliable instruction-following, strong on complex business workflows.</p> </div> <div class='lca-tech-card'> <img src='https://cdn.prod.website-files.com/61cbac3939c94d3d3a94b3d2/69975a7f955ff75bb230c542_openai-logo.avif' alt='OpenAI' class='lca-tech-logo' loading='lazy'/> <p class='lca-tech-name'>OpenAI</p> <p class='lca-tech-desc'>Alternative model for tasks where GPT performs better, available via BYOK alongside Claude in the same deployment.</p> </div> <div class='lca-tech-card'> <img src='https://cdn.prod.website-files.com/61cbac3939c94d3d3a94b3d2/69975a7f2587e338ae6f019a_slack-logo.avif' alt='Slack' class='lca-tech-logo' loading='lazy'/> <p class='lca-tech-name'>Slack</p> <p class='lca-tech-desc'>Primary push channel for team-facing agents: status updates, alerts, daily reports, on-demand answers in the channels teams already live in.</p> </div> <div class='lca-tech-card'> <img src='https://cdn.prod.website-files.com/61cbac3939c94d3d3a94b3d2/6a15e135aeee9f2a8af3f7fb_telegram-logo.svg' alt='Telegram' class='lca-tech-logo' loading='lazy'/> <p class='lca-tech-name'>Telegram</p> <p class='lca-tech-desc'>Direct line to founders and executives for personal briefings, approvals, and high-signal notifications outside the Slack noise.</p> </div> <div class='lca-tech-card'> <img src='https://cdn.prod.website-files.com/61cbac3939c94d3d3a94b3d2/6a1624dbc7c6718ddcc19e56_gmail-logo.svg' alt='Gmail' class='lca-tech-logo' loading='lazy'/> <p class='lca-tech-name'>Gmail</p> <p class='lca-tech-desc'>Agents that read, triage, draft, and send email. The highest-impact integration for most leaders, and the one that earns back the most hours.</p> </div> <div class='lca-tech-card'> <img src='https://cdn.prod.website-files.com/61cbac3939c94d3d3a94b3d2/6a1624dc27ef0eb855187cd0_google-calendar-logo.svg' alt='Google Calendar' class='lca-tech-logo' loading='lazy'/> <p class='lca-tech-name'>Google Calendar</p> <p class='lca-tech-desc'>Context-aware scheduling, pre-meeting briefings, and daily agendas tied to your actual calendar events.</p> </div> <div class='lca-tech-card'> <img src='https://cdn.prod.website-files.com/61cbac3939c94d3d3a94b3d2/6a15e137193aaee0269a40dc_notion-logo.avif' alt='Notion' class='lca-tech-logo' loading='lazy'/> <p class='lca-tech-name'>Notion</p> <p class='lca-tech-desc'>Knowledge base storage and structured document access. Where your SOPs and team processes live, agents can read them.</p> </div> <div class='lca-tech-card'> <div class='lca-tech-combo'> <img src='https://cdn.prod.website-files.com/61cbac3939c94d3d3a94b3d2/69975a7d1a8f75ecd9133108_31cc651fd8ad82c1931de81e65c53897_glide-logo.avif' alt='Glide' loading='lazy'/> <img src='https://cdn.prod.website-files.com/61cbac3939c94d3d3a94b3d2/69975a829b8f39d31b50afd3_airtable-logo.avif' alt='Airtable' loading='lazy'/> <img src='https://cdn.prod.website-files.com/61cbac3939c94d3d3a94b3d2/69975a8113b64d44d4c2be30_664877a4431d0fff81e639b1b3155c55_supabase-logo.avif' alt='Supabase' loading='lazy'/> </div> <p class='lca-tech-name'>Glide, Airtable &amp; Supabase</p> <p class='lca-tech-desc'>CRM and operational data flowing into agents for sales follow-up, account management, and pipeline reporting.</p> </div> </div> </div> </div> </div> <div class='section_pricing-zo'> <div class='padding-global padding-section-large'> <div class='container-large'> <div style='text-align:center; max-width:720px; margin:0 auto 3rem;'> <h2 class='lca-h2'>Engagement <strong>models.</strong></h2> <p class='lca-body' style='margin-top:1rem'>Tier 1 is a fixed-scope pilot that gets your first AI Employees running. Tiers 2 and 3 are ongoing partnerships where your AI workforce keeps evolving with continuous integrations, new agents, and dedicated support.</p> </div> <div class='lca-pricing-grid'> <div class='lca-price-card'> <p class='lca-price-tier'>AI Workforce Pilot</p> <p class='lca-price-range'>$5K – $15K</p> <p class='lca-price-timeline'>4–8 weeks</p> <p class='lca-price-desc'>1-2 AI Employees solving your highest-impact coordination problems. Built to prove ROI fast and create the blueprint for expansion.</p> <ul class='lca-price-features'> <li>2-4 custom agents</li> <li>Core integrations (Slack, Gmail, Calendar)</li> <li>Knowledge base setup</li> <li>Team onboarding</li> </ul> </div> <div class='lca-price-card popular'> <span class='lca-price-badge'>Most Common</span> <p class='lca-price-tier'>Operational AI Partnership</p> <p class='lca-price-range'>~$10K / month</p> <p class='lca-price-timeline'>Ongoing</p> <p class='lca-price-desc'>Continuous AI workforce development. New agents added as your team identifies opportunities, integrations expanded as your stack evolves, and the knowledge base kept current as your business grows.</p> <ul class='lca-price-features'> <li>Dedicated implementation team</li> <li>New agent development every month</li> <li>Continuous integration &amp; tuning</li> <li>Knowledge base maintenance</li> <li>Priority support</li> <li>Quarterly strategy reviews</li> </ul> </div> <div class='lca-price-card'> <p class='lca-price-tier'>Enterprise AI Operations</p> <p class='lca-price-range'>$20K+ / month</p> <p class='lca-price-timeline'>Ongoing</p> <p class='lca-price-desc'>Full-scale AI operations partnership for organizations running their business on AI. Multiple workstreams in parallel, a dedicated solutions architect, and org-wide coverage.</p> <ul class='lca-price-features'> <li>Dedicated solutions architect</li> <li>Multi-team agent development in parallel</li> <li>Org-wide deployment &amp; SSO</li> <li>Custom infrastructure &amp; advanced security</li> <li>Strategic AI roadmap reviewed quarterly</li> <li>Unlimited integration &amp; development work</li> </ul> </div> </div> </div> </div> </div> <div class='section_faq-zo' style='background: var(--bg-light);'> <div class='padding-global padding-section-large'> <div class='container-large'> <div class='lca-faqs-grid'> <div> <h2 class='lca-h2'>We get asked this <strong>all the time.</strong></h2> <p class='lca-body' style='margin-top:1rem'>Straightforward answers to the questions we hear most from leaders exploring Zo for the first time.</p> </div> <div class='lca-faq-list'> <div class='lca-faq-item' data-open='false'> <button class='lca-faq-trigger'> <h3>What exactly is Zo Computer?</h3> <svg class='lca-faq-arrow' fill='none' viewBox='0 0 24 24' stroke='currentColor' stroke-width='2'><path stroke-linecap='round' stroke-linejoin='round' d='M19 9l-7 7-7-7'/></svg> </button> <div class='lca-faq-collapse'><div class='lca-faq-answer'><p>Zo is a personal AI server platform that hosts custom AI agents we call AI Employees. Zo agents run continuously, remember your business context, connect to your real tools, and act on schedules. Think of it as the operating system for an AI workforce inside your company.</p></div></div> </div> <div class='lca-faq-item' data-open='false'> <button class='lca-faq-trigger'> <h3>How is this different from using ChatGPT or Claude directly?</h3> <svg class='lca-faq-arrow' fill='none' viewBox='0 0 24 24' stroke='currentColor' stroke-width='2'><path stroke-linecap='round' stroke-linejoin='round' d='M19 9l-7 7-7-7'/></svg> </button> <div class='lca-faq-collapse'><div class='lca-faq-answer'><p>ChatGPT and Claude are excellent reasoning engines that live in browser tabs. They reset every session, wait for a prompt before doing anything, and stay disconnected from your Slack, calendar, or CRM. Zo turns those same models into persistent agents embedded in your operation: they act, integrate, and stay current with your business.</p></div></div> </div> <div class='lca-faq-item' data-open='false'> <button class='lca-faq-trigger'> <h3>Where does Zo run? Who owns the infrastructure?</h3> <svg class='lca-faq-arrow' fill='none' viewBox='0 0 24 24' stroke='currentColor' stroke-width='2'><path stroke-linecap='round' stroke-linejoin='round' d='M19 9l-7 7-7-7'/></svg> </button> <div class='lca-faq-collapse'><div class='lca-faq-answer'><p>Zo runs on a personal server provisioned for your organization. You own the data, you choose the AI models (and bring your own API keys), and your processes stay inside infrastructure you control. Your data does not pass through a shared multi-tenant SaaS layer.</p></div></div> </div> <div class='lca-faq-item' data-open='false'> <button class='lca-faq-trigger'> <h3>What if we already use Make, Zapier, or n8n?</h3> <svg class='lca-faq-arrow' fill='none' viewBox='0 0 24 24' stroke='currentColor' stroke-width='2'><path stroke-linecap='round' stroke-linejoin='round' d='M19 9l-7 7-7-7'/></svg> </button> <div class='lca-faq-collapse'><div class='lca-faq-answer'><p>Those tools handle workflow automation, moving data between apps based on triggers. Zo handles AI reasoning: deciding what to do, drafting content, analyzing context, and acting. They work together. Most deployments use Zo for the intelligence layer and automation tools for specific connectors. We help you decide where each one fits.</p></div></div> </div> <div class='lca-faq-item' data-open='false'> <button class='lca-faq-trigger'> <h3>What happens if Zo Computer the company shuts down?</h3> <svg class='lca-faq-arrow' fill='none' viewBox='0 0 24 24' stroke='currentColor' stroke-width='2'><path stroke-linecap='round' stroke-linejoin='round' d='M19 9l-7 7-7-7'/></svg> </button> <div class='lca-faq-collapse'><div class='lca-faq-answer'><p>The agents we build run on standard tooling: open-source models, common integrations, and code that can be exported. Worst case, we migrate your deployment to a self-hosted equivalent. We architect every deployment for portability from day one, so vendor risk is mitigated by design.</p></div></div> </div> <div class='lca-faq-item' data-open='false'> <button class='lca-faq-trigger'> <h3>Why work with LOW/CODE Agency instead of building this internally?</h3> <svg class='lca-faq-arrow' fill='none' viewBox='0 0 24 24' stroke='currentColor' stroke-width='2'><path stroke-linecap='round' stroke-linejoin='round' d='M19 9l-7 7-7-7'/></svg> </button> <div class='lca-faq-collapse'><div class='lca-faq-answer'><p>You can build this internally with a senior AI engineer, six months of runway, and the patience to discover every edge case yourself. We have been through it. We know which agents create real ROI and which look impressive on a demo. You get our compressed experience in 8-14 weeks instead of a year of internal R&amp;D.</p></div></div> </div> <div class='lca-faq-item' data-open='false'> <button class='lca-faq-trigger'> <h3>How do agents stay current as our business changes?</h3> <svg class='lca-faq-arrow' fill='none' viewBox='0 0 24 24' stroke='currentColor' stroke-width='2'><path stroke-linecap='round' stroke-linejoin='round' d='M19 9l-7 7-7-7'/></svg> </button> <div class='lca-faq-collapse'><div class='lca-faq-answer'><p>Knowledge bases are versioned and updated as part of ongoing retainer work. New processes, new team members, new SOPs: all of it gets reflected in agent behavior. We build feedback loops so the team can flag when an agent is wrong, and those corrections improve future runs.</p></div></div> </div> </div> </div> </div> </div> </div> <script> (function(){var d=300;function o(i){var c=i.querySelector('.lca-faq-collapse');if(!c)return;i.dataset.open='true';c.style.overflow='hidden';c.style.height='0px';requestAnimationFrame(function(){c.style.height=c.scrollHeight+'px';setTimeout(function(){if(i.dataset.open==='true'){c.style.height='auto';}},d);});}function f(i){var c=i.querySelector('.lca-faq-collapse');if(!c)return;i.dataset.open='false';c.style.overflow='hidden';c.style.height=c.getBoundingClientRect().height+'px';requestAnimationFrame(function(){c.style.height='0px';});}var w=document.querySelectorAll('.lca-faq-list');w.forEach(function(l){var items=Array.prototype.slice.call(l.querySelectorAll('.lca-faq-item'));items.forEach(function(i){var t=i.querySelector('.lca-faq-trigger');var c=i.querySelector('.lca-faq-collapse');if(!t||!c)return;i.dataset.open='false';c.style.overflow='hidden';c.style.height='0px';c.style.transition='height '+d+'ms cubic-bezier(0.4, 0, 0.2, 1)';t.addEventListener('click',function(e){e.preventDefault();var s=i.dataset.open==='true';items.forEach(function(x){if(x!==i&&x.dataset.open==='true')f(x);});s?f(i):o(i);});});});})(); </script>