Use the right AI model for each job
Work goes to the AI model with the right strengths and cost for the assignment, so the most capable models focus where they add the most value without making delivery depend on one provider.
Flagship product case study
A live genetic-insights platform, built through governed AI delivery.
DNA Health Insights turns consumer DNA test files into educational reports linked to published sources, a customer Command Center, and subscription plans. MGV built it with a coordinated team of AI agents: each agent handles work suited to its strengths, other agents challenge the result, and a release must be supported by test evidence.
- Product
- https://www.dna-health-insights.com/
- Product state
- Live subscription application
- Customer journey
- DNA file to findings, reports, and ongoing access
- MGV scope
- Designed, built, tested, and verified in production
How the framework works
Governed delivery
Specialist AI agents do the work. Testing evidence determines whether it is ready to release.
AI agents drive the work at every stage across product, engineering, security, live-system, and customer-experience tasks. Separate review agents look for mistakes and missed effects, and a lead agent combines the verified results into one accountable plan. The human project manager monitors progress, sets authority, and can intervene without performing each operational step.
Advanced AI models focus on strategy, difficult decisions, and final review. Lower-cost specialist models handle clearly defined building and testing tasks. Agents continue within agreed limits while the human project manager monitors the work and retains final release authority.
Product evidence and guardrails
AI agents audited the entire customer experience, not just one screen.
Governed AI agents autonomously worked through the live site click by click and screen by screen, following customer journeys across every accessible surface. They captured, indexed, and cataloged the evidence in documented repositories built for traceability and before-and-after regression comparison. The resulting archive contains 3,144 screenshots, giving teams repeatable coverage, reducing manual audit work, and supporting safer release decisions.
Agent-built audit repository
3,144
Screens captured, indexed, and cataloged by AI agents during site-wide customer-journey audits.
Separate release checkpoints
6
A change is not called finished merely because it was coded or deployed; it must also be tested and confirmed for customers
Lower-cost model test
~67%
In one controlled comparison, an efficient specialist model completed the same narration task at about 67% lower estimated model cost. Results vary by task
End-to-end testing
FULL PATH
Agents test high-risk changes across upload, checkout, billing, reports, and account access
DNA HEALTH INSIGHTS · CONNECTED CUSTOMER SYSTEM
FIG. 5.2.a
Raw DNA file
Parsed in the customer's browser
LOCAL
Structured findings
Educational explanations linked to published research
GOVERNED
Reports
Lifestyle, wellness, supplement, and medication experiences
TIERED
Account and billing
Plan access changes only after the payment provider confirms billing status
VERIFIED
Release evidence
Testing, deployment, and recovery records are preserved
RECORDED
Raw DNA files and account information are protected. Common genetics terms such as genes, rsIDs, variants, and genotypes remain visible because they are educational content, not customer identity. If a payment, access, or release result is uncertain, the system blocks the change instead of reporting success.
What this proves for a delivery partner
Test the complete customer experience
Critical updates are tested from the customer's first action through the visible result, so a passing component cannot hide a broken outcome.
Keep project knowledge after each assignment
Specifications, handoffs, review records, and test evidence preserve decisions, completed work, and unresolved issues for the next team.
The same governed delivery framework is being applied to two active-development products: CardCapture, a privacy-first iOS gift-card organizer, and the Social Intelligence Tool, an AI-assisted communication-coaching system with domain-specific safety and privacy controls. DNA Health Insights remains the primary live-product proof.