Decision science
from two AI tools at work.
How Phronesis and Synthesis actually rank options, merge model outputs, and pressure-test your calls. One field note per week.
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10 min read →
HubSpot vs Salesforce vs Pipedrive — an objective breakdown
A vendor-neutral comparison of HubSpot, Salesforce, and Pipedrive. Where each wins, where each loses, and the buyer persona each actually fits.
crm comparison hubspot Phronesis -
9 min read →
Prompt engineering for multi-model research synthesis
Writing prompts for a single LLM is a different skill from writing prompts for an orchestrator. Here is what changes and why.
prompt-engineering orchestration synthesis Synthesis -
8 min read →
A weighted-criteria approach to buying a laptop
Laptop reviews optimize for views, not your use case. A weighted-criteria framework produces better buys in 15 minutes than hours of review-watching.
buying-guide laptops weighted-criteria Phronesis -
8 min read →
The hidden cost of rushed strategic decisions
Rushed strategic decisions look cheap. The rework, reversals, and team churn they create are the expensive part. Here is how to price the whole decision.
strategy decision-cost risk -
9 min read →
How to choose a CRM without letting sales demos bias you
Sales demos are optimized to sell you a CRM, not to help you choose one. Here is a demo-proof framework for comparing HubSpot, Salesforce, Pipedrive, and the rest.
crm buying-guide vendor-selection Phronesis -
9 min read →
Multi-model AI research vs single-LLM — what actually wins
Head-to-head benchmark of multi-model orchestration against a single LLM on 20 research prompts. The orchestrator wins 65%. Here is why.
multi-model orchestration benchmark Synthesis -
8 min read →
Why blind multi-analyst scoring beats consensus voting
Blind AI analyst scoring produces more honest rankings than consensus voting. Here is why disagreement is a feature, and how Phronesis uses it.
decision-science methodology blind-jury Phronesis
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