feat(site): full P0+P1 upgrades per 10/10 list - hero upgrade, validation section with artifacts, commercial overhaul with tiers+FAQ, branding qectorlab+Source-Available, scope statement, reproducibility, crosslinks, GitHub bridge README

Author: qectorlab

source/README.md

@@ -1,16 +1,19 @@
 # QECTOR — qectorlab.github.io
 
-Marketing and documentation site for **QECTOR Decoder v3** (platform), **Qector Workbench**, and related research — production-grade quantum error correction software under the **qectorlab** brand.
+Lightweight static bridge + marketing site for **QECTOR Decoder v3** (high-performance decoder library) and **Qector Workbench** (free professional GUI) under the **qectorlab** brand.
+
+**Go to [qector.store](https://qector.store) for licensing, full details, commercial evaluation.**
 
 **Created by Guillaume Lessard (ORCID 0009-0000-3465-3753) / iD01t Productions.**
 
-Live at **[qector.store](https://qector.store)**, deployed via GitHub Pages from this repository.
+- Quick-start: pip install qector-decoder-v3
+- Free Workbench: https://github.com/qectorlab/qector-decoder-workbench/releases/tag/v3.4.0
+- Key claims + evidence: Exact PyMatching parity d=15, +35.7% gains, GPU batch — all on GitHub
+- Commercial: Source-Available; licenses for production use — see qector.store/commercial
+- Full docs & artifacts: https://github.com/GuillaumeLessard/qector-decoder
+- PyPI + dynamic version: https://pypi.org/project/qector-decoder-v3/
 
-- Decoder: QECTOR Decoder v3 — Source Available (not free), version dynamically from PyPI RSS https://pypi.org/project/qector-decoder-v3/
-- New Free Workbench GUI: QectorWorkbench v3.4.0 (https://github.com/qectorlab/qector-decoder-workbench/releases/tag/v3.4.0) — the free GUI app (decoder versions on site are live from PyPI RSS)
-- Primary development: [qectorlab org](https://github.com/qectorlab) and [GuillaumeLessard/qector-decoder](https://github.com/GuillaumeLessard/qector-decoder)
-- Full SATI OS suite: Commercial extensions on top of Source Available decoder + free Workbench GUI
-- Reproducible artifacts and validation: [GuillaumeLessard/qector-decoder](https://github.com/GuillaumeLessard/qector-decoder)
+Primary source of truth: the decoder repo README is mirrored here where useful.
 
 ## Stack
 

source/src/pages/About.tsx

@@ -153,12 +153,13 @@ export default function About() {
               </ul>
             </div>
             <div ref={(el) => addRef(el, 4)} className="card-surface">
-              <h3 className="text-cyan-300 font-semibold text-sm uppercase tracking-wider mb-4">QECTOR Product Suite</h3>
+              <h3 className="text-cyan-300 font-semibold text-sm uppercase tracking-wider mb-4">QECTOR Product Scope (qectorlab)</h3>
+              <p className="text-xs text-secondary mb-2">This site and QECTOR Decoder v3 + Workbench are the high-performance decoder library + professional GUI. Broader QECTOR vision (LCL-833, full SATI CODEX theoretical work) is research context — see GitHub for details.</p>
               <ul className="space-y-2 text-secondary text-sm leading-relaxed list-disc pl-5">
-                <li><strong className="text-primary">QECTOR Decoder v3</strong>: Rust/Python multi-algorithm QEC decoder library</li>
-                <li><strong className="text-primary">SATI OS v1.0.0</strong>: Full-stack QEC platform <em>(GA released July 2, 2026; complete LCL-free open core with optional premium LCL-832 plugin)</em></li>
-                <li><strong className="text-primary">SATI CODEX</strong>: Experimental high-rate CSS code framework with IBM hardware validation</li>
-                <li><strong className="text-primary">QEC eBook</strong>: "Mastering QEC, Second Edition", companion textbook</li>
+                <li><strong className="text-primary">QECTOR Decoder v3</strong>: Rust/Python multi-algorithm QEC decoder library (Source-Available)</li>
+                <li><strong className="text-primary">Free Qector Workbench v3.4</strong>: Professional GUI, MCP, benchmarks (fully free)</li>
+                <li><strong className="text-primary">SATI OS</strong>: Full commercial stack on top (GUI + HALs + support)</li>
+                <li><strong className="text-primary">Research</strong>: SATI CODEX, LCL codes, "Mastering QEC" book — cross-linked on GitHub</li>
               </ul>
             </div>
           </div>

source/src/pages/Commercial.tsx

@@ -122,6 +122,15 @@ export default function Commercial() {
             </div>
           </div>
 
+          {/* Pricing Philosophy */}
+          <div className="p-6 bg-gold-400/5 border border-gold-400/20 rounded-2xl">
+            <h3 className="text-gold-400 font-semibold mb-2">Pricing Philosophy</h3>
+            <p className="text-secondary text-sm">
+              Designed for serious QEC research and production teams. Licenses support continued independent development.
+              No auto-renewing without confirmation. Written agreements. Priority support included.
+            </p>
+          </div>
+
           {/* Pricing Cards */}
           <div ref={(el) => addRef(el, 2)} className="grid grid-cols-1 md:grid-cols-3 gap-4">
             <PricingTierCard

source/src/pages/Decoder.tsx

@@ -163,9 +163,9 @@ export default function Decoder() {
           <div ref={(el) => addRef(el, 3)}>
             <EvidenceBlock
               title="Validation Status"
-              statement="All benchmark claims are simulation-validated using Stim + PyMatching cross-validation. Reproducible artifacts are on GitHub."
+              statement="All benchmark claims are simulation-validated using Stim + PyMatching cross-validation. Reproducible artifacts are on GitHub. Exact parity through d=15, full Stim integration."
               href="https://github.com/GuillaumeLessard/qector-decoder"
-              linkLabel="GitHub Artifacts →"
+              linkLabel="GitHub Artifacts &amp; Harness →"
             />
             <div className="flex flex-wrap gap-4 mt-3 px-1">
               <Link to="/benchmarks" className="text-cyan-300 text-sm hover:underline">Full Benchmarks →</Link>

source/src/pages/Evidence.tsx

@@ -150,6 +150,9 @@ export default function Evidence() {
               <div className="text-cyan-300 mb-2"># Quick validation</div>
               <div>pip install qector-decoder-v3</div>
               <div>python -m qector.validate -all</div>
+              <div className="mt-2"># Full harness + artifacts</div>
+              <div>git clone https://github.com/GuillaumeLessard/qector-decoder</div>
+              <div>cd qector-decoder ; python -m qector.bench --repro</div>
             </div>
           </div>
 

source/src/pages/Home.tsx

@@ -121,9 +121,9 @@ export default function Home() {
             className="text-4xl sm:text-5xl md:text-6xl lg:text-7xl font-extrabold tracking-tight leading-[1.1] mb-6"
             style={{ textShadow: '0 4px 24px rgba(0,0,0,0.8)' }}
           >
-            QEC Decoder for Python
+            QECTOR Decoder v3 — Production-Grade Quantum Error Correction Decoding with Exact PyMatching Parity
             <br />
-            <span className="text-cyan-300">with Measurable Accuracy Gains</span>
+            <span className="text-cyan-300">Validated MWPM Parity to d=15 + 35.7% LER Reduction via Belief-Matching | GPU Batch Decoding</span>
           </h1>
 
           {/* Subheadline */}
@@ -139,7 +139,7 @@ export default function Home() {
               Explore the Decoder
             </Link>
             <a href="https://github.com/qectorlab/qector-decoder-workbench/releases/tag/v3.4.0" className="btn-outline text-base px-8 py-4" target="_blank" rel="noopener noreferrer">
-              Free Workbench v3.4.0 (New)
+              Free Professional GUI – QECTOR Decoder Workbench v3.4
             </a>
             <Link to="/commercial" className="btn-gold text-base px-8 py-4">
               Start Commercial Evaluation
@@ -184,11 +184,26 @@ export default function Home() {
             All performance and correctness claims are simulation-validated with public, reproducible artifacts on GitHub.
             No hidden data. Run it yourself.
           </p>
+          <div className="grid grid-cols-1 md:grid-cols-3 gap-4 mb-6 text-left max-w-4xl mx-auto">
+            <div className="card-surface">
+              <strong>Exact MWPM Parity</strong><br />
+              Matches PyMatching LER d=3 to d=15. <a href="https://github.com/GuillaumeLessard/qector-decoder" className="text-cyan-300">View stim_ler_d13_d15.json</a>
+            </div>
+            <div className="card-surface">
+              <strong>+35.7% LER Reduction</strong><br />
+              Belief-Matching at d=5, circuit-level noise. <a href="https://github.com/GuillaumeLessard/qector-decoder" className="text-cyan-300">Full artifact + seeds</a>
+            </div>
+            <div className="card-surface">
+              <strong>GPU Batch &amp; BP-OSD</strong><br />
+              Bit-identical CUDA/OpenCL, qLDPC support. <a href="https://github.com/GuillaumeLessard/qector-decoder" className="text-cyan-300">Repro harness</a>
+            </div>
+          </div>
           <div className="flex flex-wrap justify-center gap-3">
             <a href="https://github.com/GuillaumeLessard/qector-decoder" target="_blank" rel="noopener noreferrer" className="btn-cyan">View Artifacts on GitHub</a>
             <Link to="/benchmarks" className="btn-outline">See Full Benchmarks</Link>
             <Link to="/evidence" className="btn-outline">Evidence &amp; Reports</Link>
           </div>
+          <p className="text-xs text-muted-foreground mt-4">One-click reproduction: git clone ... ; python -m qector.validate</p>
         </div>
       </section>
 
@@ -201,8 +216,8 @@ export default function Home() {
           <div className="max-w-6xl mx-auto">
             <div ref={(el) => addRef(el, 1)}>
               <SectionHeader
-                heading={<NeuralReveal text="Platform" className="text-3xl md:text-4xl font-bold" />}
-                description="QEC decoding is not one-size-fits-all. Surface codes, qLDPC codes, and real-time vs. batch workloads need different decoders. QECTOR Decoder v3 under qectorlab gives you all of them in one Python library with a consistent API."
+                heading={<NeuralReveal text="Key Differentiators" className="text-3xl md:text-4xl font-bold" />}
+                description="QEC decoding is not one-size-fits-all. Surface codes, qLDPC codes, and real-time vs. batch workloads need different decoders. QECTOR Decoder v3 under qectorlab gives you all of them in one Python library with a consistent API. Every claim backed by GitHub artifacts."
               />
             </div>