About the project
One clear overview from dozens of sources
My name is Patrik Wagner and I have been actively following AI for a long time, trying new tools and looking for practical uses for them. But the number of sources keeps growing, and staying truly informed is becoming a full-time job.
That is why I created AI Radar by Wagner Solution: one place that tracks important developments in AI, compares available information and prepares a clear overview in English.
Why it was created
Less information noise, more context
Problem
One change, many similar articles
Alongside important news, there are reprints, marketing announcements and content with no practical impact. What matters can easily get lost among the many sources.
Solutions
One event with a summary and original sources
When several websites cover the same thing, AI Radar brings their coverage together, explains the significance of the change and preserves links to the originals. The result is not an automated reprint or another RSS reader.
From signal to event
From source to a useful overview
Brief news items link to the original; original analyses identify AI Radar as the author.
Second layer Today’s briefingA verified event with context and practical impact.
For price changes, after checking the official price lists, we prepare a separate article calculating the impact. The original news item retains the manufacturer's facts; our own interpretation, charts and methodology are clearly separated.
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01
Monitors
Checks curated sources, official announcements, research, regulation and security.
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02
Selects
Filters out content with no real connection to AI, marketing noise and old reprints.
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03
Connects
Combines articles about the same thing into a single event. Ambiguous cases are not merged automatically.
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04
Summarises
Assesses the significance of the change and prepares a brief summary, translated into English, with links to the originals.
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05
Explains
Turns the same facts into practical implications for individuals and business decisions.
AI Radar under the hood
Works even when you are not reading
It continuously reviews sources on its own VPS, groups articles about the same change and provides context in Czech and English.
How the system works →Today's AI work
9.59M
tokens today
Exactly 9,594,138 · 954 completed runs
Total input, output and cache usage reported by AI models since midnight in Prague.
Running services
Running on your own VPS
4/4 layers online Latest AI work just now
What you will find here
Everyone looks for something different in AI
Choose a view based on what you need to resolve right now.
Daily briefing
Today’s briefing
The most important changes without duplicates or information noise.
Open overview →For myself
For individuals
New tools and features you can use in your work.
Find a practical use →For decision-making
For businesses
Impact on processes, costs, risks and options for adopting AI.
Explore business impacts →For specific work
Model selection
Comparison by use case, capabilities, price and speed.
Choose a suitable model →Find ongoing developments in AI Flash. You can continue browsing completed events by topic, in the archive or separately in research.
How we handle confidence
The more important the claim, the stricter the verification.
We publish significant news events only after independent confirmation. For an unambiguous product release, legislation or operational incident, the relevant official source is sufficient. A narrowly focused technical guide may rely on a single source, and its card will always label it as such.
Current publication review status
44 of 44 significant events meet publication rules
We count the actual publishing rule, not just the number of articles or feeds.
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2 independent sources
At least two independent publishers have confirmed the claim. The card shows their number.
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Official announcement
A product release, legislation or an incident is substantiated by the relevant authority.
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1 source
A regular news item or technical guide has not yet been independently confirmed. The card explicitly indicates this.
Current coverage of standard content
71 of 471 regular events and AI Flash items have corroboration from multiple sources or an official source. For the remaining 400 one source is visibly listed.
How we calculate evidence status
We consider an event independently confirmed when it is documented by two independent publishers, or by an official source and another independent publisher. A single official source is sufficient only for an unambiguous product release, legislation or operational incident.
Multiple feeds from the same owner count once. AI aggregators and automatically generated overviews are not used as evidence and are not listed among active public sources.
Quick overview
How to read an event card
The main selection uses cards; other lists use compact rows. Four elements help you find your way.
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01
Significance
Our importance score from 0–100 expressed in words. In listings, it is shown with bars and a word: “major”, “important”, “monitoring”. The event card and detail page clarify the lower level as “worth attention” or “context”.
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02
Trust
The line with ✓ states what supports the news item: an official source, independent confirmations, or just a single source so far. The card always makes this clear.
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03
Impact
Practical impact appears in the detail and the For individuals and For businesses views. The main selection may show it directly on a card; a compact list row shows the shared summary.
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04
Sources
“Details and sources” leads to the full summary and all original articles. Verify important decisions against the originals.
AI's role
AI helps process the volume. It is not a source of facts.
The model classifies articles, prepares a Czech summary and drafts an assessment of practical impact. It must not add facts from its own memory. The output is checked for empty or test content, language errors, inflected names and potential duplicates.
What the score means
Importance is not popularity.
We assess impact, usefulness, novelty, credibility and urgency. The number of distinct publishers gives the result a slight boost. We use verbal levels publicly because a number alone, without context, creates a false sense of precision.
Limitations
Any summary may be incomplete.
AI may miss context, and sources may be wrong or change later. That is why we list the original articles for each event and recommend checking the primary source for important decisions.
Under the hood
Your own server. Multiple models. One managed process.
AI Radar is not a single chatbot with a long prompt. An automated processing pipeline runs on my own server: at regular intervals, it checks curated sources, loads new articles, cleans the data and compares whether different websites are reporting on the same change.
A fast model first filters out noise and estimates the information value. Another model works only with what matters: it compares sources, prepares a Czech summary and describes the practical impact. Between steps, the system checks trustworthiness, duplicates, language and publication rules. AI is not a finishing touch here, but part of the infrastructure from the first signal to the finished overview.
Transparent inputs
Active sources and their roles
“Primary” does not mean independent. A manufacturer's announcement documents what it released; independent journalism, research and institutions provide a different kind of evidence. The list does not include discovery aggregators.
Community signal
5
sources
Primary source
25
sources
- Anthropic Claude Developers on X
- Anthropic News
- AWS Machine Learning Blog
- Claude Platform Release Notes
- Gemini API Changelog
- GitHub Blog
- GitHub Changelog (Copilot and AI features)
- GitHub Copilot Changelog
- Google AI blog (The Keyword — AI)
- Google — Gemini blog (official release channel)
- Google DeepMind Blog
- Hugging Face Blog
- Liquid AI (blog and model releases)
- Meta Newsroom — AI
- Microsoft AI blog (Microsoft Source — AI topic)
- Mistral AI
- Mistral Platform Changelog
- NVIDIA Newsroom (press releases)
- Ollama blog (local models)
- OpenAI API Changelog
- OpenAI News
- OpenAI — official video announcements
- Stability AI
- Tibo Sottiaux — OpenAI product team
- xAI API Release Notes
Operation and availability
11
sources
- AWS Status — AI services
- Azure Status — AI services
- Claude Status — incident history
- GitHub Status — incident history
- Google Cloud Status — AI services
- Google Workspace Status — Gemini
- Hugging Face Status — incident history
- NVIDIA NGC Status — incident history
- OpenAI Status — incident history
- Together AI Status — incident history
- xAI Status — incident history
Independent editorial team
21
sources
- 404 Media (investigative tech journalism)
- AI Business
- Ars Technica (AI)
- CzechCrunch – AI tag (additional, AI-filtered feed)
- E15.cz
- IEEE Spectrum — Artificial Intelligence
- iRozhlas.cz
- Lupa.cz
- MIT News – Artificial intelligence
- MIT Technology Review — AI section
- Platformer (Casey Newton)
- Root.cz
- SemiAnalysis (newsletter feed — hardware, chips, AI economics)
- TechCrunch AI
- Tech Policy Press
- The Conversation — Artificial Intelligence
- The Decoder (daily AI news)
- The Verge AI
- VentureBeat AI
- Wired — AI section
- Živě.cz
No jargon
Glossary
Canonical explanations of terms you will encounter on the website. We explain unfamiliar terms when they first appear — here they are all in one place.
- Event
- One thing that happened. We bring together all the articles covering it — so the website has one card, not ten similar news items.
- Model
- The “engine” inside an AI tool. The ChatGPT app is powered by a GPT model; the same model can run in different apps.
- Source
- A website we read articles from: an official provider announcement, an independent publication, a research site or an institution.
- Importance
- Our score from 0–100 for how much an event changes practice. In listings, we show it with bars and a word: “major” (80 or above), “important” (60–79) and “monitoring” (below 60). The event card and detail page specify the lower tier: “worth attention” (40–59), otherwise “context”.
- Trust
- What evidence supports the event — an official source, independent confirmations, or just a single source so far. The card always states this explicitly.
- Breaking news
- An unfolding event. The summary may become more precise as further sources become available.
- Preprint (study before peer review)
- Research published before other experts have had a chance to review it. We keep it separate from verified news.
- Benchmark (comparative test)
- A measurement of a model's capabilities on a set of tasks. It is a measurement, not a verdict — the result applies to that type of work.
- Beta (trial version)
- A feature released for trial use. It may change, have limitations or occasionally work unreliably.
- Agent
- AI that handles a task on its own across multiple steps: it reads, makes decisions and uses tools — rather than just answering a single question.
- Open-source
- A model or tool with publicly available code or weights. It can run on your own infrastructure.
- Hallucinations
- When AI makes up a plausible-sounding but false piece of information. That is why we link to original sources for every event.
For source operators
Considerate data collection and copyright
The project introduces itself with a header AIRadar/1.0 (+https://ai.patrikwagner.cz/o-projektu). It uses public feeds, conditional downloads and reasonable intervals. It does not log in, bypass paywalls or circumvent technical restrictions.
Full texts of articles by others are not published. They serve only as internal input for creating our own summaries; readers always continue to the original. If you would like a source removed, write to patrik.wagner@gmail.com.
The project as a living case study
What can you build with AI using your own data?
A similar approach can be used for market monitoring, internal knowledge, sales support, or decision-making based on larger volumes of information.