{"id":35270,"date":"2026-09-16T11:52:12","date_gmt":"2026-09-16T08:52:12","guid":{"rendered":"https:\/\/mapsly.com\/?page_id=35270"},"modified":"2026-09-16T11:52:12","modified_gmt":"2026-09-16T08:52:12","slug":"thinking-sub-agents","status":"publish","type":"page","link":"https:\/\/mapsly.com\/es\/ai\/thinking-sub-agents\/","title":{"rendered":"Thinking &#038; sub-agents"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"35270\" class=\"elementor elementor-35270\" data-elementor-post-type=\"page\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4a06597 e-con-full e-flex e-con e-parent\" data-id=\"4a06597\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6da5550 elementor-widget elementor-widget-html\" data-id=\"6da5550\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div 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4px;border-radius:6px;background:var(--purple-lt);color:var(--purple);font-size:12.5px;font-weight:600;letter-spacing:.08em;text-transform:uppercase;line-height:1.2;white-space:nowrap;position:relative;top:-4px}\n.mce-aip .hint{position:relative;border-bottom:1px dashed currentColor;cursor:help}\n.mce-aip .hint-b{display:none;position:absolute;left:0;bottom:calc(100% + 10px);width:300px;max-width:min(300px,80vw);padding:10px 12px;border-radius:8px;background:var(--ink);color:#fff;font-size:13px;line-height:1.5;font-style:normal;font-weight:400;letter-spacing:0;text-transform:none;text-align:left;z-index:6;box-shadow:0 8px 24px rgba(30,42,58,.18);pointer-events:none}\n.mce-aip .hint:hover .hint-b,.mce-aip .hint:focus .hint-b,.mce-aip .hint:focus-within .hint-b{display:block}\n.mce-aip .dt:last-child .hint-b{left:auto;right:0}\n.mce-aip .pval small{display:block;font-size:11.5px;font-weight:500;color:var(--soft);margin-top:1px;line-height:1.3}\n.mce-aip .ptbw{overflow:visible}\n@media (max-width:1024px){.mce-aip .ptbw{overflow-x:auto}\n.mce-aip .hint{border-bottom:0;cursor:auto}\n.mce-aip .hint-b{position:static;display:block;background:none;color:var(--soft);padding:2px 0 0;width:auto;max-width:none;box-shadow:none;font-size:12px;line-height:1.45;pointer-events:auto}\n.mce-aip .h1-tag{top:-2px;margin-left:8px}}\n.mce-aip .play{position:relative; display:flex; flex-direction:column; gap:5px; padding:10px 12px; border-radius:10px; background:#fff;}\n.mce-aip [class*=\"z-\"]{animation-duration:12s; animation-timing-function:linear; animation-iteration-count:infinite; animation-fill-mode:both;}\n\n<\/style>\n<div class=\"mce-aip\" id=\"mce-aip-top\"><section class=\"hero has-vis\" aria-labelledby=\"mce-aip-h1\"><div class=\"w wide hero-inner\"><div class=\"hero-copy\"><span class=\"eyebrow\">Enterprise \u00b7 Private beta<\/span><h1 id=\"mce-aip-h1\">Thinking &amp; <span class=\"nb\">sub-agents<\/span> <span class=\"h1-tag\">Coming soon<\/span><\/h1><p class=\"hero-sub\">For a hard task, Mapsly AI thinks longer before answering: it plans, weighs its options and returns one result. When optimal, it spawns sub-agents on appropriate models and reasoning effort, splitting the work into smaller tasks, reducing context load and staying sharp longer.<\/p><div class=\"hero-actions\"><a class=\"btn btn-purple\" href=\"https:\/\/calendly.com\/mapsly-meeting\/quick-demo\" target=\"_blank\" rel=\"noopener\">Contact our team<\/a><a class=\"btn btn-outline\" href=\"#mce-aip-how\">See how it works<\/a><\/div><\/div><div class=\"hero-vis\"><div class=\"ag notranslate\" translate=\"no\" data-no-translation data-no-dynamic-translation data-nosnippet><div class=\"wf-node p-b\"><i><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.9\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><circle cx=\"12\" cy=\"8\" r=\"4\"\/><path d=\"M4 21a8 8 0 0 1 16 0\"\/><\/svg><\/i><span class=\"wf-t\"><small>Your task<\/small><b>Plan next week for six reps<\/b><\/span><\/div><div class=\"wf-link\"><svg viewBox=\"0 0 100 28\" preserveAspectRatio=\"none\"><path vector-effect=\"non-scaling-stroke\" d=\"M50 0 V28\"\/><\/svg><\/div><div class=\"wf-node ai p-t p-b\"><i><svg viewBox=\"0 0 24 24\" fill=\"currentColor\"><path d=\"M18.5606 8.11368L19.3281 6.41341L21.0284 5.64586C21.4073 5.47097 21.4073 4.9366 21.0284 4.76172L19.3281 3.99417L18.5606 2.28419C18.3857 1.90527 17.8513 1.90527 17.6765 2.28419L16.9089 3.98445L15.1989 4.752C14.82 4.92689 14.82 5.46126 15.1989 5.63614L16.8992 6.40369L17.6667 8.11368C17.8416 8.49259 18.3857 8.49259 18.5606 8.11368Z\"\/><path d=\"M10.8268 9.57105L9.282 6.17051C8.94195 5.41268 7.85378 5.41268 7.51372 6.17051L5.96891 9.57105L2.56837 11.1159C1.81054 11.4656 1.81054 12.5441 2.56837 12.8841L5.96891 14.429L7.51372 17.8295C7.86349 18.5873 8.94195 18.5873 9.282 17.8295L10.8268 14.429L14.2273 12.8841C14.9852 12.5344 14.9852 11.4559 14.2273 11.1159L10.8268 9.57105Z\"\/><path d=\"M17.6667 15.8863L16.8992 17.5866L15.1989 18.3541C14.82 18.529 14.82 19.0634 15.1989 19.2383L16.8992 20.0058L17.6667 21.7158C17.8416 22.0947 18.376 22.0947 18.5509 21.7158L19.3184 20.0155L21.0284 19.248C21.4073 19.0731 21.4073 18.5387 21.0284 18.3639L19.3281 17.5963L18.5606 15.8863C18.3857 15.5074 17.8416 15.5074 17.6667 15.8863Z\"\/><\/svg><\/i><span class=\"wf-t\"><small>Mapsly AI<\/small><b>Thinks it through; spawns sub-agents when optimal<\/b><\/span><\/div><div class=\"wf-link wf-fan\"><svg viewBox=\"0 0 100 32\" preserveAspectRatio=\"none\"><path vector-effect=\"non-scaling-stroke\" d=\"M50 0 C50 18 16.6667 14 16.6667 32\"\/><path vector-effect=\"non-scaling-stroke\" d=\"M50 0 C50 18 50 14 50 32\"\/><path vector-effect=\"non-scaling-stroke\" d=\"M50 0 C50 18 83.3333 14 83.3333 32\"\/><\/svg><\/div><div class=\"ag-row\" style=\"--n:3\"><div class=\"ag-node p-t p-b\"><i><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.9\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><circle cx=\"6\" cy=\"19\" r=\"2\"\/><circle cx=\"18\" cy=\"5\" r=\"2\"\/><path d=\"M12 19h4.5a3.5 3.5 0 0 0 0-7h-9a3.5 3.5 0 0 1 0-7H12\"\/><\/svg><\/i><span class=\"wf-t\"><b>Routes<\/b><small>Six days, live traffic<\/small><\/span><\/div><div class=\"ag-node p-t p-b\"><i><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.9\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"5\" width=\"18\" height=\"16\" rx=\"2\"\/><path d=\"M3 10h18M8 3v4M16 3v4\"\/><\/svg><\/i><span class=\"wf-t\"><b>Renewals<\/b><small>Due this month<\/small><\/span><\/div><div class=\"ag-node p-t p-b\"><i><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.9\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M10 5a2 2 0 1 1 4 0a7 7 0 0 1 4 6v3a4 4 0 0 0 2 3h-16a4 4 0 0 0 2 -3v-3a7 7 0 0 1 4 -6\"\/><path d=\"M9 17v1a3 3 0 0 0 6 0v-1\"\/><\/svg><\/i><span class=\"wf-t\"><b>Overdue<\/b><small>Accounts past cadence<\/small><\/span><\/div><em class=\"ag-tag\">Coming soon<\/em><\/div><div class=\"wf-link wf-fan\"><svg viewBox=\"0 0 100 32\" preserveAspectRatio=\"none\"><path vector-effect=\"non-scaling-stroke\" d=\"M16.6667 0 C16.6667 18 50 14 50 32\"\/><path vector-effect=\"non-scaling-stroke\" d=\"M50 0 C50 18 50 14 50 32\"\/><path vector-effect=\"non-scaling-stroke\" d=\"M83.3333 0 C83.3333 18 50 14 50 32\"\/><\/svg><\/div><div class=\"wf-node p-t\"><i><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.9\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><circle cx=\"12\" cy=\"12\" r=\"9\"\/><path d=\"M8.5 12l2.5 2.5 5-5\"\/><\/svg><\/i><span class=\"wf-t\"><small>One answer<\/small><b>A plan, yours to publish<\/b><\/span><\/div><\/div><\/div><\/div><\/section><section class=\"core\" id=\"mce-aip-how\" aria-labelledby=\"mce-aip-how-h\"><div class=\"w wide\"><div class=\"core-grid core-vis\"><div class=\"core-copy rv\"><h2 class=\"sec-title\" id=\"mce-aip-how-h\">How it works<\/h2><ol class=\"steps\"><li><i class=\"stn\">1<\/i><b>Set the effort<\/b><span>On Enterprise, an admin sets the reasoning effort per conversation: quick for everyday questions, deep for planning a week.<\/span><\/li><li><i class=\"stn\">2<\/i><b>Think<\/b><span>It works the task in passes. When optimal, it spawns sub-agents on the right models and effort, in parallel.<\/span><\/li><li><i class=\"stn\">3<\/i><b>Publish<\/b><span>The result arrives as one plan with its numbers. You publish it; nothing changes without you.<\/span><\/li><\/ol><\/div><div class=\"core-visual rv\" style=\"--d:80ms\"><div class=\"vis\"><div class=\"flow down\"><div class=\"fn\"><span class=\"fk\">Task<\/span><span class=\"ft\">\u201cPlan next week for the North team, keep the fixed appointments.\u201d<\/span><span class=\"fs\">A hard task: 6 calendars, working hours, cadence<\/span><\/div><span class=\"fa\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M5 12h14M13 6l6 6-6 6\"\/><\/svg><\/span><div class=\"fn\"><span class=\"fk\">Pass 1 \u00b7 plan<\/span><span class=\"ft\">Read the calendars, keep the anchors<\/span><span class=\"fs\">What is fixed, what can move<\/span><\/div><span class=\"fa\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M5 12h14M13 6l6 6-6 6\"\/><\/svg><\/span><div class=\"fn accent\"><span class=\"fk\">Passes 2\u20133 \u00b7 options, compare<\/span><span class=\"ft\">Build the route variants; weigh drive time, cadence, priority<\/span><span class=\"fs\">Today, in one conversation<\/span><\/div><span class=\"fa\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M5 12h14M13 6l6 6-6 6\"\/><\/svg><\/span><div class=\"fn dashed\"><span class=\"fk\">Sub-agents <em class=\"ptag\">Coming soon<\/em><\/span><span class=\"ft\">Routes, renewals and overdue accounts worked at once<\/span><span class=\"fs\">Smaller tasks on the right models and effort, in parallel<\/span><\/div><span class=\"fa\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M5 12h14M13 6l6 6-6 6\"\/><\/svg><\/span><div class=\"fn\"><span class=\"fk\">Answer<\/span><span class=\"ft\">5 days \u00b7 6 reps \u00b7 31 stops \u00b7 4 h less driving<\/span><span class=\"fs\">One plan; you publish it, nothing changes without you<\/span><\/div><\/div><div class=\"code notranslate\" translate=\"no\" data-no-translation data-no-dynamic-translation data-nosnippet><div class=\"code-h\"><i><\/i><span>How it ran<\/span><\/div><pre>reasoning effort: high\n<span class=\"ck\">passes<\/span>: plan <span class=\"ca\">\u2192<\/span> options <span class=\"ca\">\u2192<\/span> compare\n<span class=\"ck\">sub-agents<\/span>: coming soon\ntool calls: 24\n<span class=\"ck\">model<\/span>: frontier tier\n<span class=\"ck\">result<\/span>: 5 days \u00b7 6 reps \u00b7 31 stops\n        driving 22 h (\u22124 h)<\/pre><\/div><\/div><\/div><\/div><div class=\"core-details rv\"><dl class=\"dts\"><div class=\"dt\"><dt class=\"dt-l\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.9\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M10 12a2 2 0 1 0 4 0a2 2 0 0 0 -4 0\"\/><path d=\"M21 12c-2.4 4 -5.4 6 -9 6c-3.6 0 -6.6 -2 -9 -6c2.4 -4 5.4 -6 9 -6c3.6 0 6.6 2 9 6\"\/><\/svg>Reads<\/dt><dd>Whatever the task needs: calendars, routes, accounts. Deep thinking reads more.<\/dd><\/div><div class=\"dt\"><dt class=\"dt-l\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.9\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M14 3H7a2 2 0 0 0-2 2v14a2 2 0 0 0 2 2h10a2 2 0 0 0 2-2V8z\"\/><path d=\"M14 3v5h5M9 13h6M9 17h4\"\/><\/svg>Writes<\/dt><dd>Only what you approve at the end. Thinking itself writes nothing.<\/dd><\/div><div class=\"dt\"><dt class=\"dt-l\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.9\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><circle cx=\"14\" cy=\"6\" r=\"2\"\/><path d=\"M4 6h8M16 6h4\"\/><circle cx=\"8\" cy=\"12\" r=\"2\"\/><path d=\"M4 12h2M10 12h10\"\/><circle cx=\"17\" cy=\"18\" r=\"2\"\/><path d=\"M4 18h11M19 18h1\"\/><\/svg>Needs from you<\/dt><dd>A reasoning effort per conversation, set by an admin on Enterprise.<\/dd><\/div><div class=\"dt\"><dt class=\"dt-l\"><svg viewBox=\"0 0 24 24\" fill=\"currentColor\"><path d=\"M18.5606 8.11368L19.3281 6.41341L21.0284 5.64586C21.4073 5.47097 21.4073 4.9366 21.0284 4.76172L19.3281 3.99417L18.5606 2.28419C18.3857 1.90527 17.8513 1.90527 17.6765 2.28419L16.9089 3.98445L15.1989 4.752C14.82 4.92689 14.82 5.46126 15.1989 5.63614L16.8992 6.40369L17.6667 8.11368C17.8416 8.49259 18.3857 8.49259 18.5606 8.11368Z\"\/><path d=\"M10.8268 9.57105L9.282 6.17051C8.94195 5.41268 7.85378 5.41268 7.51372 6.17051L5.96891 9.57105L2.56837 11.1159C1.81054 11.4656 1.81054 12.5441 2.56837 12.8841L5.96891 14.429L7.51372 17.8295C7.86349 18.5873 8.94195 18.5873 9.282 17.8295L10.8268 14.429L14.2273 12.8841C14.9852 12.5344 14.9852 11.4559 14.2273 11.1159L10.8268 9.57105Z\"\/><path d=\"M17.6667 15.8863L16.8992 17.5866L15.1989 18.3541C14.82 18.529 14.82 19.0634 15.1989 19.2383L16.8992 20.0058L17.6667 21.7158C17.8416 22.0947 18.376 22.0947 18.5509 21.7158L19.3184 20.0155L21.0284 19.248C21.4073 19.0731 21.4073 18.5387 21.0284 18.3639L19.3281 17.5963L18.5606 15.8863C18.3857 15.5074 17.8416 15.5074 17.6667 15.8863Z\"\/><\/svg>Runs on<\/dt><dd>Enterprise, on any model or your key. Essential and Pro: fixed effort.<\/dd><\/div><\/dl><\/div><\/div><\/section><section class=\"plans\" id=\"mce-aip-plans\" aria-labelledby=\"mce-aip-plans-h\"><div class=\"w wide\"><div class=\"ptbw\"><div class=\"ptb\" role=\"table\" aria-label=\"Thinking &amp; sub-agents: plans and limits\"><div class=\"pthead\" role=\"row\"><div class=\"pth-lead\" role=\"columnheader\"><h2 class=\"sec-title\" id=\"mce-aip-plans-h\">Plans and limits<\/h2><a href=\"https:\/\/mapsly.com\/pricing\/\">See pricing<svg viewBox=\"0 0 24 24\"><path d=\"M9 6l6 6-6 6\"\/><\/svg><\/a><\/div><div class=\"pth\" role=\"columnheader\"><span class=\"ptn\">Essential<\/span><span class=\"ptp\">Advisory AI<\/span><\/div><div class=\"pth\" role=\"columnheader\"><span class=\"ptn\">Pro<\/span><span class=\"ptp\">Agentic AI<\/span><\/div><div class=\"pth\" role=\"columnheader\"><span class=\"ptn\">Enterprise<\/span><span class=\"ptp\">Depth & compliance<\/span><\/div><\/div><div class=\"psec\" role=\"rowgroup\"><div class=\"psec-h\" role=\"row\"><span class=\"psec-t\" role=\"rowheader\" aria-colspan=\"4\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.9\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M15.5 13a3.5 3.5 0 0 0 -3.5 3.5v1a3.5 3.5 0 0 0 7 0v-1.8\"\/><path d=\"M8.5 13a3.5 3.5 0 0 1 3.5 3.5v1a3.5 3.5 0 0 1 -7 0v-1.8\"\/><path d=\"M17.5 16a3.5 3.5 0 0 0 0 -7h-.5\"\/><path d=\"M19 9.3v-2.8a3.5 3.5 0 0 0 -7 0\"\/><path d=\"M6.5 16a3.5 3.5 0 0 1 0 -7h.5\"\/><path d=\"M5 9.3v-2.8a3.5 3.5 0 0 1 7 0v10\"\/><\/svg><span>Thinking &amp; sub-agents<\/span><\/span><\/div><div class=\"prows\" role=\"rowgroup\"><div class=\"prow\" role=\"row\"><div class=\"prw\" role=\"presentation\"><span class=\"plbl\" role=\"rowheader\">Reasoning effort<\/span><span class=\"pc\" role=\"cell\"><span class=\"pval\">Fixed<\/span><\/span><span class=\"pc\" role=\"cell\"><span class=\"pval\">Fixed<\/span><\/span><span class=\"pc\" role=\"cell\"><span class=\"pval\">Adjustable<\/span><\/span><\/div><\/div><div class=\"prow\" role=\"row\"><div class=\"prw\" role=\"presentation\"><span class=\"plbl\" role=\"rowheader\">Sub-agents <span class=\"ptag\">Coming soon<\/span><\/span><span class=\"pc\" role=\"cell\"><svg class=\"pdh\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.2\" stroke-linecap=\"round\"><path d=\"M6 12h12\"\/><\/svg><\/span><span class=\"pc\" role=\"cell\"><svg class=\"pdh\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.2\" stroke-linecap=\"round\"><path d=\"M6 12h12\"\/><\/svg><\/span><span class=\"pc\" role=\"cell\"><svg class=\"pck\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M5 12l5 5L20 7\"\/><\/svg><\/span><\/div><\/div><div class=\"prow\" role=\"row\"><div class=\"prw\" role=\"presentation\"><span class=\"plbl\" role=\"rowheader\">AI models<\/span><span class=\"pc\" role=\"cell\"><span class=\"pval\">Efficient models only<\/span><\/span><span class=\"pc\" role=\"cell\"><span class=\"pval\">Any model<\/span><\/span><span class=\"pc\" role=\"cell\"><span class=\"pval\">Any model<\/span><\/span><\/div><\/div><div class=\"prow\" role=\"row\"><div class=\"prw\" role=\"presentation\"><span class=\"plbl\" role=\"rowheader\">Bring your own key<\/span><span class=\"pc\" role=\"cell\"><svg class=\"pdh\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.2\" stroke-linecap=\"round\"><path d=\"M6 12h12\"\/><\/svg><\/span><span class=\"pc\" role=\"cell\"><svg class=\"pdh\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.2\" stroke-linecap=\"round\"><path d=\"M6 12h12\"\/><\/svg><\/span><span class=\"pc\" role=\"cell\"><span class=\"pval\">Included<\/span><\/span><\/div><\/div><div class=\"prow\" role=\"row\"><div class=\"prw\" role=\"presentation\"><span class=\"plbl\" role=\"rowheader\"><span class=\"hint\" tabindex=\"0\">AI allowance<i class=\"hint-b\" role=\"tooltip\">The AI usage included in your plan every month, measured in AI credits and pooled across your account; the amount in brackets is what those credits currently cost. Beyond it, usage draws on your prepaid AI credits at the current rate card.<\/i><\/span><\/span><span class=\"pc\" role=\"cell\"><span class=\"pval\">2,000 AI credits ($2)<small>per user \/ mo<\/small><\/span><\/span><span class=\"pc\" role=\"cell\"><span class=\"pval\">5,000 AI credits ($5)<small>per user \/ mo<\/small><\/span><\/span><span class=\"pc\" role=\"cell\"><span class=\"pval\">8,000 AI credits ($8)<small>per user \/ mo<\/small><\/span><\/span><\/div><\/div><\/div><\/div><\/div><\/div><p class=\"pnote\">Mapsly AI is included in every plan and is in private beta: <a class=\"chat\" href=\"https:\/\/mapsly.com\/#openChat\">contact us<\/a> to join the waitlist and get early access. Each plan carries a monthly AI allowance measured in AI credits (the amount in brackets is what those credits currently cost), pooled across your account and reset every month. Beyond it, usage draws on your prepaid AI credit balance at the current rate card.<\/p><\/div><\/section><section class=\"cta-band\" id=\"mce-aip-cta\" aria-labelledby=\"mce-aip-cta-h\"><div class=\"w\"><h2 class=\"rv\" id=\"mce-aip-cta-h\">See <span class=\"ai-brand notranslate\" translate=\"no\"><svg viewBox=\"0 0 24 24\" fill=\"currentColor\"><path d=\"M18.5606 8.11368L19.3281 6.41341L21.0284 5.64586C21.4073 5.47097 21.4073 4.9366 21.0284 4.76172L19.3281 3.99417L18.5606 2.28419C18.3857 1.90527 17.8513 1.90527 17.6765 2.28419L16.9089 3.98445L15.1989 4.752C14.82 4.92689 14.82 5.46126 15.1989 5.63614L16.8992 6.40369L17.6667 8.11368C17.8416 8.49259 18.3857 8.49259 18.5606 8.11368Z\"\/><path d=\"M10.8268 9.57105L9.282 6.17051C8.94195 5.41268 7.85378 5.41268 7.51372 6.17051L5.96891 9.57105L2.56837 11.1159C1.81054 11.4656 1.81054 12.5441 2.56837 12.8841L5.96891 14.429L7.51372 17.8295C7.86349 18.5873 8.94195 18.5873 9.282 17.8295L10.8268 14.429L14.2273 12.8841C14.9852 12.5344 14.9852 11.4559 14.2273 11.1159L10.8268 9.57105Z\"\/><path d=\"M17.6667 15.8863L16.8992 17.5866L15.1989 18.3541C14.82 18.529 14.82 19.0634 15.1989 19.2383L16.8992 20.0058L17.6667 21.7158C17.8416 22.0947 18.376 22.0947 18.5509 21.7158L19.3184 20.0155L21.0284 19.248C21.4073 19.0731 21.4073 18.5387 21.0284 18.3639L19.3281 17.5963L18.5606 15.8863C18.3857 15.5074 17.8416 15.5074 17.6667 15.8863Z\"\/><\/svg><span>Mapsly AI<\/span><\/span> on your own pipeline<\/h2><p class=\"rv\" style=\"--d:60ms\">A personalized demo with a Mapsly solution engineer, on your data. Configuration is included in every plan.<\/p><div class=\"hero-actions rv\" style=\"--d:120ms\"><a class=\"btn btn-light btn-big\" href=\"https:\/\/calendly.com\/mapsly-meeting\/quick-demo\" target=\"_blank\" rel=\"noopener\">Contact our team<\/a><a class=\"btn btn-ghost btn-big\" href=\"https:\/\/mapsly.com\/pricing\/\">See pricing<\/a><\/div><\/div><\/section><section class=\"next\" id=\"mce-aip-next\" aria-labelledby=\"mce-aip-next-h\"><div class=\"w wide\"><h2 class=\"sec-title rv\" id=\"mce-aip-next-h\">Keep exploring<\/h2><nav class=\"next-grid\" aria-label=\"Keep exploring\"><a class=\"deep rv\" href=\"https:\/\/mapsly.com\/ai\/voice-to-crm\/\"><span class=\"eyebrow\">Back to Everyday AI<\/span><h3>Voice-to-CRM<\/h3><p>Talk through the visit; your CRM is updated in one approval.<\/p><span class=\"cmore\">Read more<svg viewBox=\"0 0 24 24\"><path d=\"M9 6l6 6-6 6\"\/><\/svg><\/span><\/a><a class=\"deep rv\" href=\"https:\/\/mapsly.com\/ai\/ai-platform-overview\/\"><span class=\"eyebrow\">Overview<\/span><h3>AI platform<\/h3><p>Build custom AI-driven solutions for your field teams on a powerful automation platform with an integrated feature-rich AI harness.<\/p><span class=\"cmore\">See the overview<svg viewBox=\"0 0 24 24\"><path d=\"M9 6l6 6-6 6\"\/><\/svg><\/span><\/a><a class=\"deep rv\" href=\"https:\/\/mapsly.com\/ai\/agentic-ai-routing\/\"><span class=\"eyebrow\">Related \u00b7 Agentic AI<\/span><h3>Agentic AI routing<\/h3><p>A meeting cancels; the replacement is found, routed and ready before you ask.<\/p><span class=\"cmore\">Read more<svg viewBox=\"0 0 24 24\"><path d=\"M9 6l6 6-6 6\"\/><\/svg><\/span><\/a><\/nav><\/div><\/section><\/div>\n<script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"SoftwareApplication\",\"@id\":\"https:\/\/mapsly.com\/#software\",\"name\":\"Mapsly\",\"url\":\"https:\/\/mapsly.com\/\",\"applicationCategory\":\"BusinessApplication\",\"operatingSystem\":\"iOS, Android, Web\",\"description\":\"Field team productivity platform with Mapsly AI, an agentic AI assistant for field sales: voice-to-CRM, pre-meeting briefs, agentic routing, sales coaching, company knowledge, custom agents, AI workflows and an AI API with an MCP server.\",\"featureList\":[\"Mapsly AI: Thinking & sub-agents. 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When optimal, it spawns sub-agents on appropriate models and reasoning effort, splitting the work into smaller tasks, reducing context load and staying sharp longer. Contact our teamSee [&hellip;]<\/p>\n","protected":false},"author":44,"featured_media":0,"parent":330,"menu_order":20,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-35270","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI Thinking &amp; Sub-Agents | Mapsly AI<\/title>\n<meta name=\"description\" content=\"Hard tasks worked through in several passes at the reasoning effort you set. 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