fix: review fixes — accuracy, claims, and add builders section

- Use 46.7% consistently (not 33-47% range)
- Change "core goal" to "planned" in 2x2 matrix
- Drop "superhuman" for Agent S3 (barely above human baseline)
- Fix possessive "our" to "OpenAdapt's" in competitor table
- Add "Built for Builders" section for non-technical users
- Renumber subsequent sections

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

Author: abrichr

README.md

@@ -170,8 +170,8 @@ Zero-shot VLMs fail on GUI tasks not due to lack of capability, but due to **amb
 
 | | No Retrieval | With Retrieval |
 |---|---|---|
-| **No Fine-tuning** | 33–47% (zero-shot baseline) | **100%** (validated, n=45) |
-| **Fine-tuning** | Standard SFT baseline | **Demo-conditioned FT** (core goal) |
+| **No Fine-tuning** | 46.7% (zero-shot baseline) | **100%** (validated, n=45) |
+| **Fine-tuning** | Standard SFT (baseline) | **Demo-conditioned FT** (planned) |
 
 The bottom-right cell is OpenAdapt's unique value: training models to **use** demonstrations they haven't seen before, combining retrieval with fine-tuning for maximum accuracy. Phase 2 (retrieval-only prompting) is validated; Phase 3 (demo-conditioned fine-tuning) is in progress.
 

docs/design/landing-page-strategy.md

@@ -269,8 +269,8 @@ Why: Clear 3-step process, action-oriented
 | Competitor | Strengths | Weaknesses | Our Advantage |
 |------------|-----------|------------|---------------|
 | **Anthropic Computer Use** | 72.5% OSWorld (near-human), simple API | Proprietary, cloud-only, no customization, per-action cost | Open source, model-agnostic, trainable, runs locally |
-| **Agent S3 (Simular)** | 72.6% OSWorld (superhuman), open source | Zero-shot only, no demo conditioning, no fine-tuning pipeline | Demo-conditioned agents, capture-to-train pipeline |
-| **OpenCUA (XLANG Lab)** | NeurIPS Spotlight, 45% OSWorld, open models (7B-72B) | Zero-shot at inference — demos used only for training, not runtime | Runtime demo conditioning (unique); OpenCUA reused our macOS a11y code |
+| **Agent S3 (Simular)** | 72.6% OSWorld, open source | Zero-shot only, no demo conditioning, no fine-tuning pipeline | Demo-conditioned agents, capture-to-train pipeline |
+| **OpenCUA (XLANG Lab)** | NeurIPS Spotlight, 45% OSWorld, open models (7B-72B) | Zero-shot at inference — demos used only for training, not runtime | Runtime demo conditioning (unique); OpenCUA reused OpenAdapt's macOS a11y code |
 | **Browser Use** | 50k+ GitHub stars, 89% WebVoyager | Browser-only, no desktop, no training pipeline | Full desktop support, fine-tuning, demo library |
 | **UI-TARS (ByteDance)** | Local models (2B-72B), Apache 2.0 | No demo conditioning, no capture pipeline | End-to-end record→train→deploy, demo retrieval |
 | **CUA / Bytebot** | Container infra, YC-backed | Infrastructure-only, no ML training pipeline | Full pipeline: capture + train + eval + deploy |
@@ -378,7 +378,31 @@ Your choice of AI: Claude, GPT-4V, Gemini, Qwen-VL, or fine-tune your own.
 MIT licensed. Run locally, in the cloud, or hybrid.
 ```
 
-### 5.5 For Developers Section
+### 5.5 For Builders Section
+
+````
+## Built for Builders
+
+### Show it once. Done.
+Record yourself doing a task. OpenAdapt handles the rest.
+No code, no prompts, no configuration.
+
+### Three commands
+```bash
+pip install openadapt
+openadapt capture start --name my-task    # Record
+openadapt run --capture my-task           # Replay with AI
+```
+
+### Works with the AI you already use
+Claude, GPT-4V, Gemini, Qwen — pick your model.
+Or let OpenAdapt train a small one that runs on your laptop.
+
+### Your data stays yours
+Everything runs locally. Nothing leaves your machine unless you want it to.
+````
+
+### 5.6 For Developers Section
 
 ````
 ## Built for Developers
@@ -415,7 +439,7 @@ Compare your models against published baselines.
 [View Documentation] [GitHub Repository]
 ````
 
-### 5.6 For Enterprise Section
+### 5.7 For Enterprise Section
 
 ```
 ## Enterprise-Ready Automation
@@ -438,7 +462,7 @@ Custom development, training, and support packages available.
 [Contact Sales: sales@openadapt.ai]
 ```
 
-### 5.7 Use Cases Section (Refined)
+### 5.8 Use Cases Section (Refined)
 
 **Current**: Generic industry grid