01
Evidence methods
Read the guide →Market map versus competitor list: use the right model
A clear distinction between the broad category map, narrow decision-led competitor set, operational watchlist, and deal-specific alternative set.
EXVIV Market Change Review
Field notes for markets that refuse to sit still.
Evidence-backed methods, market analysis, and operating tools for the people who have to decide what a competitor's move actually changes.
01
Primary sourcesMaterial claims trace back to the public record.
02
Decision artifactsEvery guide leaves the reader with something usable.
03
Visible boundariesFacts, interpretation, and unknowns stay separate.
04
No disguised pitchThe work must stand on its own before EXVIV helps.
Start with the pillars
A working system, not a pile of posts.
The publication moves from source evidence to commercial interpretation, owner-ready action, and an observed outcome.
02
Evidence methods
Read the guide →How to score competitive signals without fake precision
A two-axis scoring model that keeps evidence confidence separate from decision materiality and routes signals without disguising judgment as mathematical certainty.
03
Evidence methods
Read the guide →Deterministic diff versus semantic analysis
A practical architecture for combining exact field comparison with semantic classification so teams retain auditability without drowning in page-level noise.
Research library
Published research, with the sources attached.
3 published articles
03 AI economics
AI software pricing models: seats, credits, usage, and outcomes
Compare AI software pricing models—seats, credits, tokens, minutes, tasks, outcomes, and hybrids—by normalizing each offer to the same real workload.
06 AI economics
AI coding agent pricing: how to compare plans that keep changing
A workload-based method for comparing AI coding subscriptions, request limits, model access, usage pricing, and team controls without relying on a stale winner table.
09 AI economics
AI app builder pricing: compare credits, hosting, and ownership
A workload method for comparing AI app builder credits, iteration cost, hosting, deployment, collaboration, export, and backend allowances.
The recurring method
Observe. Interpret. Decide. Learn.
- 01Preserve the fact
Capture the primary source, observed time, and comparable before-and-after fields.
- 02Bound the interpretation
Explain the plausible commercial meaning and keep alternative explanations visible.
- 03Name the decision
Route the evidence to an owner with a review, due date, and valid no-action state.
- 04Record the outcome
Keep what the team chose and what later evidence revealed so the system can improve.
Continue exploring
Move from the method to the market.
Use the practical guide, inspect the pricing-monitoring workflow, or follow EXVIV's first deeply covered market.
Field guide
Competitor monitoring guide
Build a source map, preserve evidence, filter noise, and route material changes to a decision owner.
Read the guide → Product workflowCompetitor pricing monitoring
See how EXVIV tracks plans, packaging, free tiers, usage limits, and commercial calls to action.
Explore pricing monitoring → Market recordAI coding tools market
Follow pricing, product, positioning, enterprise, hiring, and reliability changes across AI coding tools.
Explore the market →Inspect the market record behind the method.
Explore companies, markets, and reviewed public changes. Use the research whether or not EXVIV becomes part of your workflow.
Compare the evidence →