Here's What Generic AI Missed

Provides general market expansion advice: research the market, build a network, start small, test demand. Lists common considerations like competition, costs, and timing. Surface-level checklist that could apply to any business in any industry.

Identifies 8 interconnected decision variables — market timing, capability transfer risk, client pipeline dependencies, revenue cannibalization potential, competitive positioning gaps, resource allocation trade-offs, reputation leverage, and exit conditions. Surfaces hidden connections between your existing client relationships and new market dynamics that standard analysis misses entirely.

Lists pros and cons of common treatments. Recommends "talk to your doctor" and "do your own research." Covers standard options without connecting them to individual biomarkers, lifestyle factors, or interaction effects.

Maps treatment options against 11 dimensions: mechanism of action, interaction cascade (how treatments affect each other), biomarker-specific targeting, lifestyle amplifiers, cost-effectiveness per outcome measure, timeline to measurable response, reversibility profile, quality-of-life trade-offs, monitoring requirements, insurance navigation, and evidence quality scoring for each option.

Describes qualitative vs quantitative approaches. Lists common methods (surveys, interviews, focus groups) with textbook advantages and disadvantages. Recommends "mixed methods" without specifics on how to integrate them.

Evaluates 9 methodology dimensions against your specific study constraints: validity type needed, sample accessibility, budget-to-rigor optimization, timeline-to-confidence mapping, stakeholder credibility requirements, bias exposure vectors, replication feasibility, integration pathways between qualitative and quantitative phases, and statistical power requirements for your decision threshold.