The Challenge
BAF Training is a personal training practice in the Austin, Texas area. The business had a website, but it wasn't working — built on a template platform with limited customization, no pricing transparency, no client testimonials, and no connection to the owner's values-first approach to business.
The deeper challenge was philosophical. The owner operates from a "giving vs. selling" framework — the belief that genuine helpfulness precedes transactions, that free resources build trust, and that pricing should be accessible rather than hidden behind a "contact us" wall. Translating that philosophy into a functional business website raised questions that couldn't be answered by intuition alone.
This wasn't a single project. It became an ongoing engagement spanning research, design, infrastructure migration, evidence-based program development, and continuous operational improvement — a complete demonstration of what AI-directed business transformation looks like in practice.
The Project Arc
What started as a website redesign evolved into a multi-phase engagement. Each phase was grounded in research before execution, with decisions documented and traceable.
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Phase 1: Research-Grounded StrategyPricing model research (NYOP/PWYW viability, pricing visibility studies), competitive analysis, and values-aligned business design — all from verified sources before writing a single line of code.
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Phase 2: Website Build & LaunchFull site build with pricing transparency, testimonial integration, SEO implementation, legal compliance pages, and revenue infrastructure (contact forms, automated inquiry routing).
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Phase 3: Domain MigrationComplete platform migration from Wix to Cloudflare Pages — domain transfer, DNS configuration, custom domain setup, SSL provisioning, and post-migration verification across 35 operational checkpoints.
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Phase 4: Evidence-Based Program DevelopmentResearch-grounded corrective exercise program: 3,745 verified data points from 22 peer-reviewed sources covering shoulder rehabilitation, kinetic chain mechanics, and scapular dyskinesis. Delivered as an interactive client-facing tool.
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Phase 5: Operational HardeningEmail authentication (SPF, DKIM, DMARC), navigation restructuring, content optimization, and ongoing monitoring. The site is a living system, not a one-time deliverable.
The Research
Pricing Model Research
The owner's values suggested exploring "pay what you can" pricing. Rather than implementing based on intuition, we researched NYOP/PWYW models across industries — from restaurant experiments to therapy practices to SaaS platforms — and discovered that pure PWYW consistently underperforms for high-touch, 1:1 services with real marginal cost per session.
The evidence led to an unexpected finding: mental health practitioners face the same structural challenge as personal trainers — high-touch services where each session has real cost — and many have built sustainable flexible pricing through a "guided sliding scale" approach. Clear published rates with private, relationship-based flexibility. This evidence-backed model replaced the original PWYW instinct.
Pricing Visibility Research
Research inverted a common assumption. Fitness industry practitioners and B2B SaaS data both confirmed: publishing prices after demonstrating value converts at significantly higher rates than hiding them. Transparent pricing doesn't scare prospects away — it filters for committed clients who already know they can afford the service.
| Research Question | Finding | Business Decision |
|---|---|---|
| Should we use PWYW pricing? | Underperforms for 1:1 services with real marginal cost | Guided sliding scale with published base rates |
| Should prices be visible? | Transparent pricing converts higher and attracts better-fit clients | Full pricing on website after value demonstration |
| What about testimonials? | Third-party validation is the strongest trust signal for service businesses | Dedicated testimonial integration throughout site |
Program Development Research
When the business needed a client onboarding program, we didn't build from the trainer's experience alone. We compiled 3,745 structured data points from 22 peer-reviewed sources covering shoulder rehabilitation protocols, kinetic chain assessment frameworks, and scapular dyskinesis rehabilitation — then synthesized that evidence into a 4-week corrective exercise program with 30 exercises across 3 training days, integrated movement quality tracking, and three-layer citations linking every exercise prescription to its research basis.
The Build
Infrastructure Migration
The original site was hosted on Wix — a platform that worked for initial launch but limited customization, performance, and cost control. We executed a full migration to Cloudflare Pages: domain transfer with EPP code extraction, DNS record migration, custom domain configuration, SSL certificate provisioning, and email authentication setup (SPF, DKIM, DMARC records verified against Google Workspace).
The migration wasn't just a technical move — it was an operational discipline exercise. Every step was documented, every DNS record verified, and the post-migration validation covered 35 distinct checkpoints including form submission testing, email delivery verification, SEO redirect confirmation, and cross-browser rendering.
Why this matters: Domain migration is where most small business websites break. DNS misconfigurations, lost email, broken forms, and SEO penalties are common. The 35-checkpoint verification protocol ensured zero downtime and zero functionality loss — the kind of operational rigor that's invisible when it works and devastating when it doesn't.
Revenue Infrastructure
The site isn't just a brochure — it's a revenue system. Contact forms route inquiries through verified channels with spam filtering. Email authentication (SPF, DKIM, DMARC) ensures outbound messages from the business domain land in inboxes, not spam folders. Every component of the inquiry-to-client pipeline was configured, tested, and verified.
The Outcome
The result is not a website — it's a continuously maintained digital business system. Every design decision traces to documented research. The pricing model is evidence-based. The exercise programming is peer-review-grounded. The infrastructure is verified at every layer. And the system continues to evolve as the business grows.
This project demonstrates what "AI-directed" means in practice: not automated code generation, but structured research, evidence-grounded decision-making, disciplined execution, and ongoing verification applied to every aspect of a real business. The AI directs the methodology; the human directs the business.
Technical Details
This engagement spans five distinct project phases executed over multiple months. Each phase follows a research-first methodology: questions are formulated, evidence is gathered from verified sources, findings are synthesized, and only then is implementation planned and executed.
The pricing research drew on sources spanning behavioral economics experiments, fitness industry practitioner reports, mental health practice models, and B2B SaaS conversion studies. The exercise programming research compiled 3,745 data points from 22 peer-reviewed sources through a multi-stage processing pipeline that extracts, normalizes, and indexes text at the sentence level for precise citation.
The infrastructure migration used a systematic verification protocol covering DNS propagation, SSL certificate provisioning, email authentication (SPF record validation, DKIM key verification, DMARC policy configuration), form submission routing, and cross-browser rendering — 35 checkpoints total, all documented and verified.
The ongoing enhancement model means this isn't a project with an end date — it's a maintained system. Navigation restructuring, content optimization, email deliverability monitoring, and new capability development (like the exercise program) are integrated as the business evolves.
Research-Grounded Business Development
Whether you need a website that's built on evidence rather than assumptions, infrastructure that's verified at every layer, or ongoing AI-directed enhancement — we build business systems that document their own reasoning.
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