Professional Services

BAF Training Website

Governed AI Craftsmanship in Action

Client: BAF Training | Austin, Texas | Live at baftraining.com

The Challenge

Taylor Gashette is a certified personal trainer building BAF Training, a fitness practice in the Austin, Texas area. The existing website needed significant development: comprehensive service documentation, pricing transparency, client testimonials, legal compliance pages, and SEO optimization - all while remaining true to Taylor's values-first approach to business.

The core tension was philosophical as much as technical. Taylor 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. But translating these values into a functional business website raised hard questions.

The Central Question: Should pricing be visible on the website? Taylor's initial instinct was concern - would publishing prices scare potential clients away? Would competitors undercut? Would it feel transactional rather than relational?

This question became the central research challenge of the project.

The Approach

Echo Angel Studio employs a governance-first methodology. Before writing code, we document decisions. Before claiming results, we verify sources. Before implementing, we research.

For this project, that meant:

Phase Activity
Research Systematic investigation of pricing transparency psychology, pay-what-you-want models, and personal training industry standards
Documentation Every significant choice logged with rationale, traceable to source
Verification Implementation through formal checkpoints, each phase confirmed before advancing
Reconciliation Existing client documents treated as authoritative sources for alignment

The Research

The NYOP Question

Taylor's values suggested exploring "pay what you can" or "name your own price" models. We conducted systematic research on NYOP/PWYW implementations.

Model Outcome Key Finding
Radiohead "In Rainbows" (2007) USD 3M before physical release One-time experiment; band acknowledged "not repeatable"
Humble Bundle USD 200M+ to charity, 47M bundles Works with digital goods, strong guardrails required
Panera Cares (2010-2019) All 5 locations closed High marginal cost services fail under PWYW
Critical Insight: NYOP succeeds for low-marginal-cost digital products with optional guardrails. Personal training has high marginal cost per session. Pure NYOP would not be sustainable. We recommended a "Guided Sliding Scale" instead.

The Pricing Visibility Question

Research inverted Taylor's assumption.

Source Finding
HockeyStack (31M visitors analyzed) Hidden pricing causes more abandonment than visible pricing
Harvard Business Review Transparent pricing correlates with up to 50% higher trust scores
Forrester Research Price transparency reduces sales cycle by approximately 30%
Kajabi (e-commerce platform) Three-tier pricing produces 28% higher conversion rates
MyPersonalTrainerWebsite Industry-specific recommendation: publish rates for client clarity

Resolution: The data indicated that hidden pricing creates more customer anxiety than visible pricing. Taylor's concern was understandable but empirically inverted. Publishing prices with context would build trust, not erode it.

The Build

Scope

8
Service Tiers Documented
21
Testimonials Collected
6
Verification Checkpoints

Pricing Structure Documented

Category Tiers
In-Person Training Bronze (4 sessions), Silver (8 sessions, "Best Value"), Gold (12 sessions)
Remote Training Basic, Standard, Premium tiers + Hybrid add-on
AI Services Transparent rate derivation from base hourly rate

Technical Implementation

File Before After Change
index.html ~18 KB 41.2 KB +23 KB
style.css ~8 KB 18.5 KB +10.5 KB
privacy-policy.html - 20.7 KB New
disclaimer.html - 11.6 KB New
terms.html - 15.1 KB New

The Philosophy Made Operational

The "giving vs. selling" framework became concrete through specific design decisions:

Value Implementation
Free Resources Meal Finder tool, educational content - accessible without payment
Free Consultation Explicit invitation to discuss fit before any commitment
Sliding Scale Direct statement that pricing adjusts for circumstances
Honest Exchange Higher-investment clients receive priority scheduling - transparent about the value exchange

The result is a website that operationalizes values rather than merely stating them. The business model is visible because transparency is the value.

The Outcome

Live
baftraining.com
14
Testimonials Integrated
3
Legal Pages Added

Deliverables

Item Status
Live website Verified at baftraining.com
Contact form Working, verified
Social media integration 4 platforms linked
SEO implementation Schema.org + Open Graph
Legal compliance Privacy, Disclaimer, Terms
Pricing transparency 8 tiers fully documented

Technical Appendix

Governance Framework

Echo Angel Framework with systematic verification protocols for decision documentation, source verification, and implementation checkpoints.

SEO Implementation

<!-- Schema.org LocalBusiness --> <script type="application/ld+json"> { "@context": "https://schema.org", "@type": "LocalBusiness", "name": "BAF Training", ... } </script> <!-- Open Graph --> <meta property="og:title" content="BAF Training"> <meta property="og:type" content="website">

Verification Methods

Method Application
File hash comparison Backup integrity verification
Regex pattern matching Content verification
Section ID verification Structure validation
Tag balance checking HTML integrity

Conclusion

This project demonstrates that AI-assisted development can be governed, verified, and grounded. Every claim in this case study traces to documented sources - session logs, file system verification, or web research with citations.

The philosophical question of pricing visibility was resolved through evidence rather than assumption. The technical implementation followed systematic checkpoints. The final product operationalizes the client's values rather than compromising them.

This is governed AI craftsmanship: AI that shows its work.
Back to Portfolio Start Your Project