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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>Slancha — Production AI, Optimized</title>
<meta name="description" content="Slancha optimizes production AI. The Production AI Optimization Sprint: 21 days, $15,000 fixed, one workflow — lower cost per verified outcome without lowering the outcome rate.">
<link rel="canonical" href="https://optimize.kanpai.run/">
<meta property="og:type" content="website">
<meta property="og:url" content="https://optimize.kanpai.run/">
<meta property="og:title" content="Slancha — Production AI, Optimized">
<meta property="og:description" content="The Production AI Optimization Sprint: 21 days, $15,000 fixed, one workflow. One shipped improvement, graded against a preregistered baseline.">
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<body>
<div id="stage" aria-hidden="true"></div>
<header class="masthead">
<a class="mark" href="#top">SLANCHA / PRODUCTION AI</a>
<nav aria-label="Site">
<a href="#method">Method</a>
<a href="#offer">Sprint</a>
<a href="#contact">Start</a>
</nav>
</header>
<main>
<section class="hero" id="top">
<div class="hero-inner">
<span class="plate-label">Plate I · The Instrument</span>
<h1>Bring us your most <em>expensive</em> AI workflow.</h1>
<p class="descriptor">Most production AI is not a chatbot. Support agents, speech pipelines, vision and document models — if it runs in production at real spend, Slancha prices one verified outcome and lowers it without lowering how often it happens. You end with one number that survives your CFO.</p>
<p class="proofline">One workflow. One metric. One shipped improvement.</p>
<div class="offer-terms"><span>21 days</span><span>$15,000 fixed</span><span>One workflow</span></div>
<p class="qualifier">Built for workflows spending $25,000+ a month on agents, models, and tools</p>
<a class="cta" href="#contact">Price one workflow</a>
<p class="trace-strip">Reads the traces you already emit — <b>LangSmith</b> · <b>Braintrust</b> · <b>Langfuse</b> · <b>Arize Phoenix</b> · <b>W&B Weave</b> · <b>Helicone</b> · <b>OpenTelemetry</b> · plain logs</p>
</div>
</section>
<div class="sheet">
<section class="plate" id="problem">
<span class="plate-label">Plate II · Problem</span>
<div class="method-grid">
<div>
<h2>The enemy is unpriced intelligence.</h2>
<p>Your agents resolve real work at machine speed. Do you know what one successful resolution costs?</p>
<p>Model teams cut token cost. Infrastructure teams raise utilization. Product teams raise resolution. Operations cuts handle time. Finance cuts budgets. Each team can win while the whole system gets worse — because no one owns the denominator that crosses their boundaries.</p>
</div>
<figure class="loop-figure">
<svg viewBox="0 0 420 320" role="img" aria-label="Total spend over one verified outcome: the denominator no team owns">
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<line x1="40" y1="60" x2="120" y2="112"/>
<line x1="380" y1="60" x2="300" y2="112"/>
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<text x="210" y="100" text-anchor="middle">TOTAL SPEND</text>
<text x="210" y="248" text-anchor="middle">ONE VERIFIED OUTCOME</text>
<text class="center-label" x="210" y="292" text-anchor="middle">EVERY TEAM PULLS. NO ONE OWNS IT.</text>
</svg>
<figcaption>Fig. 2 · the unowned denominator</figcaption>
</figure>
</div>
</section>
<section class="plate" id="method">
<span class="plate-label">Plate III · Method</span>
<div class="method-grid">
<div>
<h2>The loop is the product.</h2>
<p>We observe production work through the traces you already emit — LangSmith, Braintrust, Langfuse, Arize Phoenix, W&B Weave, Helicone, OpenTelemetry, or plain logs. We join spend to a verified result. We find the binding constraint — model, prompt, retrieval, tool policy, retries, quantization, batching, hardware, caching, serving, or routing. We test a bounded change against a predeclared baseline and quality floor. We ship it with rollback. Then we come back and grade the realized result against the forecast.</p>
</div>
<figure class="loop-figure">
<svg viewBox="0 0 420 340" role="img" aria-label="The loop: measure, change, prove, deploy, grade, repeat">
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<text x="210" y="34" text-anchor="middle">MEASURE</text>
<text x="330" y="104" text-anchor="start">CHANGE</text>
<text x="330" y="248" text-anchor="start">PROVE</text>
<text x="210" y="315" text-anchor="middle">DEPLOY</text>
<text x="90" y="248" text-anchor="end">GRADE</text>
<text x="90" y="104" text-anchor="end">REPEAT</text>
<text class="center-label" x="210" y="166" text-anchor="middle">COST PER</text>
<text class="center-label" x="210" y="180" text-anchor="middle">VERIFIED OUTCOME</text>
</svg>
<figcaption>Fig. 1 · the loop, six stations</figcaption>
</figure>
</div>
</section>
<section class="plate" id="offer">
<span class="plate-label">Plate IV · Sprint</span>
<h2>The Production AI Optimization Sprint.</h2>
<p>21 days. $15,000, fixed. One production workflow. We establish its true cost per verified successful outcome, test a bounded set of changes, and ship one approved improvement when the evidence supports it.</p>
<ul class="offer-list">
<li><span class="tick" aria-hidden="true"></span><p>Preregistered baseline and evidence contract</p></li>
<li><span class="tick" aria-hidden="true"></span><p>Cost-per-outcome decomposition</p></li>
<li><span class="tick" aria-hidden="true"></span><p>Experiment record for every tested change</p></li>
<li><span class="tick" aria-hidden="true"></span><p>One reversible shipped improvement</p></li>
<li><span class="tick" aria-hidden="true"></span><p>Realized-versus-forecast scorecard</p></li>
<li><span class="tick" aria-hidden="true"></span><p>Ranked 90-day backlog</p></li>
</ul>
<p class="no-change">The no-change result stays on the table. Slancha optimizes your system, not its own activity — if the evidence says leave it alone, that is the report. The fee buys the measurement; the shipped change is the upside.</p>
<figure class="loop-figure rule-figure">
<svg viewBox="0 0 420 150" role="img" aria-label="A 21-day rule: baseline at day zero, one shipped change before day 21">
<path d="M 48 44 v -8 h 324 v 8" fill="none" stroke="#c8a24a" stroke-opacity=".45" stroke-width="1"/>
<text x="210" y="24" text-anchor="middle">21 DAYS</text>
<line x1="40" y1="88" x2="380" y2="88" stroke="#c8a24a" stroke-width="1.5"/>
<g stroke="#c8a24a" stroke-opacity=".55" stroke-width="1">
<line x1="48" y1="78" x2="48" y2="98"/><line x1="102" y1="78" x2="102" y2="98"/><line x1="156" y1="78" x2="156" y2="98"/><line x1="210" y1="78" x2="210" y2="98"/><line x1="264" y1="78" x2="264" y2="98"/><line x1="318" y1="78" x2="318" y2="98"/><line x1="372" y1="78" x2="372" y2="98"/>
<line x1="64" y1="83" x2="64" y2="93"/><line x1="79" y1="83" x2="79" y2="93"/><line x1="87" y1="83" x2="87" y2="93"/><line x1="118" y1="83" x2="118" y2="93"/><line x1="133" y1="83" x2="133" y2="93"/><line x1="141" y1="83" x2="141" y2="93"/><line x1="172" y1="83" x2="172" y2="93"/><line x1="187" y1="83" x2="187" y2="93"/><line x1="195" y1="83" x2="195" y2="93"/><line x1="226" y1="83" x2="226" y2="93"/><line x1="241" y1="83" x2="241" y2="93"/><line x1="249" y1="83" x2="249" y2="93"/><line x1="280" y1="83" x2="280" y2="93"/><line x1="295" y1="83" x2="295" y2="93"/><line x1="303" y1="83" x2="303" y2="93"/><line x1="334" y1="83" x2="334" y2="93"/><line x1="349" y1="83" x2="349" y2="93"/><line x1="357" y1="83" x2="357" y2="93"/>
</g>
<circle cx="48" cy="88" r="6" fill="none" stroke="#c8a24a" stroke-width="1.5"/>
<circle cx="334" cy="88" r="6" fill="#c8a24a"/>
<circle cx="334" cy="88" r="12" fill="none" stroke="#c8a24a" stroke-opacity=".35"/>
<text x="48" y="126" text-anchor="middle">BASELINE</text>
<text x="334" y="126" text-anchor="middle">SHIPPED</text>
</svg>
<figcaption>Fig. 3 · one sprint, one shipped change</figcaption>
</figure>
</section>
<section class="plate" id="proof">
<span class="plate-label">Plate V · Evidence contract</span>
<div class="method-grid">
<div>
<h2>How every engagement is graded.</h2>
<p>This workflow cost X per successful outcome. Constraint Y caused the waste. We changed Z. The controlled result improved. The quality floor held. The change shipped. The realized result persisted. That grammar — baseline, denominator, outcome definition, quality floor, intervention, experiment design, rollback, forecast, realized — is the standard every engagement must meet.</p>
</div>
<figure class="loop-figure">
<svg viewBox="0 0 420 320" role="img" aria-label="A graded scale: realized result against forecast, above the quality floor">
<line x1="120" y1="48" x2="120" y2="272" stroke="#c8a24a" stroke-width="1.5"/>
<g stroke="#c8a24a" stroke-opacity=".55" stroke-width="1">
<line x1="110" y1="64" x2="120" y2="64"/><line x1="114" y1="90" x2="120" y2="90"/><line x1="110" y1="116" x2="120" y2="116"/><line x1="114" y1="142" x2="120" y2="142"/><line x1="110" y1="168" x2="120" y2="168"/><line x1="114" y1="194" x2="120" y2="194"/><line x1="110" y1="220" x2="120" y2="220"/><line x1="114" y1="246" x2="120" y2="246"/>
</g>
<line x1="120" y1="220" x2="150" y2="220" stroke="#c8a24a" stroke-opacity=".55" stroke-width="1"/>
<circle cx="158" cy="220" r="6" fill="none" stroke="#c8a24a" stroke-width="1.5"/>
<text x="176" y="224" text-anchor="start">BASELINE</text>
<line x1="120" y1="90" x2="150" y2="90" stroke="#c8a24a" stroke-opacity=".55" stroke-width="1" stroke-dasharray="3 4"/>
<circle cx="158" cy="90" r="6" fill="none" stroke="#c8a24a" stroke-width="1.5" stroke-dasharray="3 3"/>
<text x="176" y="94" text-anchor="start">FORECAST</text>
<line x1="120" y1="116" x2="150" y2="116" stroke="#c8a24a" stroke-opacity=".55" stroke-width="1"/>
<circle cx="158" cy="116" r="6" fill="#c8a24a"/>
<circle cx="158" cy="116" r="12" fill="none" stroke="#c8a24a" stroke-opacity=".35"/>
<text x="176" y="120" text-anchor="start">REALIZED</text>
<line x1="100" y1="296" x2="340" y2="296" stroke="#ece7de" stroke-opacity=".3" stroke-width="1" stroke-dasharray="4 6"/>
<text x="220" y="288" text-anchor="middle" fill-opacity=".7">QUALITY FLOOR — HELD</text>
</svg>
<figcaption>Fig. 4 · realized, against forecast</figcaption>
</figure>
</div>
</section>
<section class="plate" id="contact">
<span class="plate-label">Plate VI · Start</span>
<ol class="steps">
<li><span class="n" aria-hidden="true">01</span><p>Write to Paul Logan or book the scoping call directly. You get a reply within two business days.</p></li>
<li><span class="n" aria-hidden="true">02</span><p>A 30-minute scoping call. Pick the workflow. Agree the outcome definition — drawn from your own source of truth — the metric, and the quality floor.</p></li>
<li><span class="n" aria-hidden="true">03</span><p>Preregistered baseline before day zero. The evidence contract is signed first; access is read-only trace data from the stack you already run, under NDA.</p></li>
<li><span class="n" aria-hidden="true">04</span><p>Days 1–21: we measure, test bounded changes against the baseline, and ship one approved improvement through your team and your deploy process, with rollback — or deliver the no-change report.</p></li>
<li><span class="n" aria-hidden="true">05</span><p>You keep the instruments: the realized-versus-forecast scorecard, graded after the preregistered measurement window rather than on day 21, and a ranked 90-day backlog your team can run without us.</p></li>
</ol>
<div class="contact-inner">
<div class="cta-row">
<a class="cta" href="https://calendar.app.google/MATXmMcFwWjUxyK26">Book the scoping call</a>
<a class="cta ghost" href="mailto:paul@slancha.ai?subject=Production%20AI%20Optimization%20Sprint">Price one workflow</a>
</div>
<p class="contact-email">Slancha is run by Paul Logan — <a href="mailto:paul@slancha.ai?subject=Production%20AI%20Optimization%20Sprint" aria-label="Email Paul Logan">paul@slancha.ai</a>, subject line: Production AI Optimization Sprint.</p>
<p>You commit to nothing before the baseline is agreed. The NDA and evidence contract are signed with Slancha, Inc., a Delaware corporation; trace access is scoped to the one workflow and ends with the engagement.</p>
</div> </section>
<section class="plate coda">
<p>We start with one agent because agents already act, spend, and produce measurable outcomes at machine speed. The loop that improves one workflow can improve a fleet. The loop that improves a fleet can improve larger systems — companies, supply chains, infrastructure.</p>
</section>
</div>
</main>
<footer>
<a href="#contact">Slancha, Inc. — production AI, optimized. 2026.</a>
<a href="/non-llm/">Non-LLM inference →</a>
</footer>
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