Kingy AI Reports | Evidence-Led AI Research

Kingy AI Trust Center

Evidence-led reports for AI builders and buyers.

Six published reports bring product, model, workflow, distribution, and sponsorship claims into a clearer record—with no released report mislabeled as scheduled.

Browse published research How the research works

6 published reportsNo released report is labeled “scheduled.”

Evidence labelsTesting, public-source analysis, and vendor claims are separated.

Maintenance recordPublished, cutoff, and updated dates mean different things.

Published research

Published

State of AI Coding Tools 2026

Coding agents, AI IDEs, app builders, open-source tools, pricing structure, review gates, and workflow maturity.

Published

State of AI Video Tools 2026

Generation, avatars, editing, localization, creative agents, credit models, rights, and production risk.

Published

State of AI Agents 2026

Frameworks, tool use, enterprise agents, observability, risk controls, and buyer strategy.

Published

State of Open-Weight AI Models

Model families, licenses, local deployment, enterprise control, and routing strategy.

Published

AI Startup Distribution Report

How AI startups get discovered, compared, trusted, tried, and shared across channels.

Published

AI Sponsorship Benchmarks Report

Creator campaign scope, workflow demos, attribution, disclosure, and operating models.

How to read a Kingy AI report

Field	Reader meaning
Published	The report is live at its canonical URL.
Source review cutoff	The last date included in the source set—not a claim that the public article changed that day.
Updated	The public content changed materially after publication.
Hands-on / public-source / vendor-reported	The origin and strength of the evidence used for a claim.

Research standard

Reports begin with a reader decision, not a word-count target. The record should identify inclusion rules, primary sources, evidence gaps, comparison limits, review cutoff, author, and material commercial relationships. A polished demo does not substitute for availability, documentation, repeatability, safety, or buyer fit.

Freshness without manufactured recencyKingy AI uses a real “Updated” date only when content materially changes. A source review cutoff records evidence coverage. These dates should never be swapped to make an old report appear new.

What is not published yet

Planned topics may be described as planned, in research, or forthcoming only when that status is accurate. They are not presented as reports and are not given fake publication dates. Draft research remains private until its claims, links, imagery, metadata, and methodology pass editorial review.

Use and cite the reports

Readers may link to report pages and quote short passages with attribution. For data reuse, charts, interviews, methodology questions, or corrections, contact info@kingy.ai. See the research methodology and source policy before interpreting rankings or scored frameworks.