Archive
Early notes.
Selected notes from InflectAI's first public writing period, now available as first-party archive pages.
Index
14 notes trace the early questions behind InflectAI: AI-native go-to-market systems, model visibility, reflex speed, and AI reliability.
Opening Thesis
Where the first public InflectAI questions took shape.
- Read note
What if your GTM was AI-native from day one?
A short opening note on rethinking go-to-market systems around AI-native workflows.
- Read note
The AI-Native GTM Operating System
A first-principles sketch of adaptive GTM systems that learn from market signals.
- Read note
Learning in Public: Why I'm Doing It, Even If It Feels Risky
A note on building credibility through clarity, public iteration, and shared learning.
- Read note
The Agentic Decade (2025-2035)
A decade-scale view of how agents may change operating systems, revenue work, and leverage.
Model Visibility
How companies become legible when AI systems help people discover and choose.
- Read note
Are You Even in the Model?
A practical framing of model presence, prompt surface area, and agent-mediated discovery.
- Read note
Marketing to Robots: How to Win in the Age of the AI Agent
An argument for treating AI assistants as a new discovery and recommendation channel.
- Read note
Marketing to Robots: A How-To Guide for LIO
A hands-on audit for prompt coverage, public footprint, ecosystem associations, and semantic positioning.
Velocity and Reflex
How faster feedback loops change operating advantage.
- Read note
Velocity Is the Moat
A note on feedback speed and why faster learning changes competitive advantage.
- Read note
Why Intent-Based Selling Failed, And What I'd Do Differently with Agents
A retrospective on intent-based selling, organizational drag, and tighter agentic feedback loops.
- Read note
We Built LIO in 72 Hours. Here's How.
A build log on using agent collaboration to turn a model-visibility concept into a working tool.
- Read note
5-Year Forecast: How AI Will Reshape GTM
A near-term forecast for AI-led revenue work, unified GTM systems, and shorter execution loops.
- Read note
The Reflex Asymmetry
A statement on reflex speed as a strategic primitive for teams operating in real time.
AI Reliability
Why fluent AI output still needs verification, governance, and constraint.
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AI Cognitive Feedback Psychosis
An early attempt to name a failure pattern involving retained correction, simulated trust, and repeated divergence.
- Read note
When AI Sounds Confident, But Is Wrong
An accessible explanation of hallucination, retrieval limits, and why fluent output still needs verification.
Continue
Current work begins with Beliefs Have Shape, Vector Manifold Analytics, and Radiant Institute for Manifold Studies.