George Moreas.George MoreasGeorge MoreasGeorge Moreas.George Moreas.AI · Search · Automation
ExperienceInsights
George Moreas / Field notesKnowledge graph
All insights
  • AI DevelopmentAgents, evaluations and reliable delivery11
  • AI EconomicsCost, capacity and accepted outcomes10
  • Future of WorkHuman judgment in an agent-driven workplace9
  • Web & AI SearchDiscovery, answers and connected knowledge39
  • AccessibilityIndependent access and usable experiences4
  • Product StrategyBetter bets, sharper choices, real evidence6
  • Privacy & TrustData boundaries, provenance and accountability4
Seven fields. Connected ideas.
Start with a better question.
  • 01 / Product Strategy
    When Building Gets Cheap, Product Judgment Gets Expensive

    Claude Code expands the space of possible products. The differentiator is no longer a convincing specification—it is choosing, testing and shipping the right experience.

    8 min read · interactive
  • 02 / Future of Work
    More Agents. One Person Who Signs Off.

    Leaders are using AI more often, but adoption is not ability. As execution accelerates, accepted work—not generated output—becomes the real productivity measure.

    8 min read · interactive
LabLabLab
Now showing41 live experiments
  • Murmuration
  • Turing Patterns
  • The Sandpile
  • Fireflies
  • Every Drawing Is Circles
  • What Sorting Sounds Like
All experiments
Let’s talk
ExperienceInsightsResumeLet’s talkLabLabLabMurmurationTuring PatternsThe SandpileFirefliesEvery Drawing Is CirclesWhat Sorting Sounds Like
Read the field notes
← AI knowledge base/Concepts & methods

Usage-based and hybrid pricing

Charging by work done (actions, credits, minutes), or a platform fee plus usage, rather than per seat; the fastest-growing SaaS pricing shapes as AI adds a real cost to every action.

Hybrid share (2025)
41% of SaaS companies, up from 27%
Seat share (2025)
15%, down from 21%

Reported by Tremont's 2025 State of Monetization report. Outcome-based pricing, charging per result, was the primary model for about 3% of companies.

More concepts & methods

  • machine learningscientific study of algorithms and statistical models that computer systems use to perform tasks without explicit instructions
  • deep learningspecialized form of machine learning that uses artificial neural networks to identify patterns in data
  • genetic algorithmcompetitive algorithm for searching a problem space
  • Altitude, depth and rangeFelix Rieseberg’s framework for ambition with AI models: speed repeats work faster, altitude targets outcomes, depth uses expert instruments and range combines disciplines.
  • Outcome-based promptingAsking an AI agent to pursue a specified change for a user or system, with evidence and boundaries, instead of merely producing a named deliverable.
  • AI outside judgeAn acceptance check outside an agent’s self-assessment, such as a deterministic test, held-out evaluation, measurement or separately briefed reviewer.

Sources

    GM.
    George Moreas.

    Senior product leader and hands-on AI builder writing about search, automation, ecommerce, and the systems changing how companies operate.

    moreas.george@gmail.com
    Boca Raton, FL

    Read the latest field notes →
    Explore
    • All insights
    • AI development
    • Search & AI visibility
    • Knowledge graph
    • AI knowledge base
    • Resume
    Site
    • Blog
    • Glossary
    • The Lab
    • About
    • LinkedIn ↗
    • Privacy
    © 2026 George Moreas · Boca Raton, FLIndependent field notes from a working product builder.