Editorial Policy itinai.com
At itinai.com, we take editorial integrity seriously. Our mission is to create trustworthy, useful, and verifiable content in the field of artificial intelligence, innovation, and product development.
Every article published on itinai.com undergoes human review and aligns with the principles below.
Our Editorial Principles
- Accuracy – We fact-check our content and update it when necessary.
- Transparency – We disclose the source, author, and publishing intent.
- Experience-first – Our content is written or reviewed by practitioners and domain experts.
- Human in the loop – No article is published without human editorial oversight.
- Clarity – We prioritize plain, accessible language and practical insight.
- Accountability – Errors are corrected. Feedback is encouraged and valued.
Submit a Correction or Suggest an Update
We welcome suggestions to improve our content.
If you’ve spotted a factual error, an outdated reference, or wish to propose an edit:
📬 Email: editor@itinai.com
All valid correction requests are reviewed within 72 hours.
In most cases, you will receive a reply from our editorial team.
Submit a News Item or Contribute Content
Want to submit a story, research highlight, or industry insight?
We accept contributions in the following formats:
- Short AI news (100–300 words)
- Research summary (with link to paper)
- Opinion/editorial piece
- Product case study (original only)
📥 Send your pitch to: editor@itinai.com
💡 Guest authorship is available — we credit all contributors.
Editor-in-Chief assistant
Editorial Review Process
Every piece of content published on itinai.com follows a structured editorial workflow:
- Drafting – Written by in-house authors or external contributors.
- Expert Review – Reviewed by a domain specialist (AI, product, healthcare, or law).
- Editor-in-Chief Review – Final oversight by Vladimir Dyachkov, Ph.D.
- Fact-Checking – Sources verified manually and/or via LLM-assisted tools.
- Markup – Structured data (
Article,Person,WebPage) is applied. - Publishing – With author attribution and publishing date.
- Monitoring – Regularly re-evaluated for accuracy and relevancy.
Note: If AI tools assist in drafting or summarizing, this is clearly disclosed.
User & Company Feedback, Corrections
We actively encourage users, companies, and institutions to report factual errors or request content updates.
How we handle it:
- Submissions are received
- An editor reviews the case manually within 72 hours.
- Verified changes are fact-checked again, optionally using AI models for cross-verification (e.g., citation match, entity comparison).
- If the correction significantly changes the context or outcome, we:
- Add a “Corrected on” notice to the article
- Publish a separate editorial blog post explaining the change in our Editor’s Blog
We do not silently alter content unless it’s a typo or formatting issue.
Propose a Story or Suggest an Edit
We believe in collaborative knowledge. Anyone can contribute insights or highlight gaps.
📬 To contribute:
- Factual correction – Use our correction request form
- Submit a news item – Email your pitch to editor@itinai.com
- Contribute a piece – See our Contributor Guidelines
We welcome:
- Original insights
- AI research summaries
- Localization use cases
- Startup/product case studies
Every submission is reviewed by humans. We may edit for clarity or add editorial context.
Get Involved
Follow us, contribute insights, or propose partnerships. We welcome collaboration from researchers, writers, and product leaders passionate about building ethical, usable AI.
Contact and Transparency
- Email: editor@itinai.com
- Telegram: @itinai
- LinkedIn: itinai.com company page
You can also explore:
Editorial Picks
Inkling Reduces AI Load: 41B Active, Controlled Reasoning
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Run Cosmos 3 Models in Colab: Easy Miniature with Omnimodal MoT
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How to Run Surveys at Every Stage of the Design Cycle
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In-Page Links for Content Navigation
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Unfinished Work Every Sprint? 3 Ways to Break the Habit
A team in California excelled in collaboration and skill but consistently failed to finish their sprint goals due to overcommitting influenced by an unofficial leader, Marc. The pressure to overcommit often stems from leadership or the…
How Microsoft’s Open-Source Test Agent Beats Copilot by 13%
Microsoft’s new code‑testing‑generator agent solves a common frustration for developers: when you ask an AI to “write unit tests” it often guesses the wrong framework, puts the files in the wrong place, or creates weak assertions…
Enhance Reasoning with VibeThinker3B: Qwen2.5+Spectrum-to-Signal
Many teams need strong reasoning abilities for math, coding and STEM tasks but cannot afford the memory and cost of huge models. Running a 600B‑parameter network requires multiple GPUs, expensive infrastructure and slow inference, which blocks…
NVIDIA VoiceChat 11B Reduces Voice AI Delay to 450ms
NVIDIA’s NemotronLabs VoiceChat 11B offers a single‑model, full‑duplex speech‑to‑speech system that removes the usual ASR‑LLM‑TTS pipeline, but teams hit real‑world blockers when trying to move beyond a demo. The biggest pain point is hardware: the model…
The Worst User Experience from Tech Titans in the Last Decade
Not that long ago, people lived and functioned in tight communities. Every vendor knew their customers personally and could make…
Skip the Browser: Run Colab GPUs/TPUs From Terminal
Google’s new Colab CLI lets developers and AI agents run code on remote Colab GPUs and TPUs without leaving the terminal. Many teams struggle with the overhead of opening a browser, navigating the notebook UI, uploading…
Best Practices for Contact Centers for 2024
In 2024, contact centers need to adapt to evolving customer needs and preferences. Virtual contact centers provide around-the-clock support and cost savings. Digital transformation, AI, and cloud technology enhance customer satisfaction and streamline operations. Automation and…
AI-Driven Sales Proposal Generator
AI-Driven Sales Proposal Generator The clock is relentless in sales. Every hour spent wrestling with a proposal is an hour not spent closing deals. For years, sales teams have been shackled to a process that feels…
Financial Controller – Explaining financial policies, budget approval workflows, or retrieving finance-related documentation.
Professional CV Financial Controller – Explaining Financial Policies, Budget Approval Workflows, or Retrieving Finance-Related Documentation An AI digital team member is a reliable and effective solution for businesses. It performs repetitive and time-consuming tasks with precision,…
Increase LLM Throughput 2x with Nemotron Labs 3 Puzzle 75B A9B
Large hybrid MoE models such as Nemotron‑3‑Super deliver strong accuracy but are costly to serve because their active parameters, KV cache and Mamba state limit how many users a single GPU can handle at a given…
Top 10 UX Videos of 2023
The article highlights top videos from 2023, covering topics like UX resumes, usability test facilitation, information architecture, content strategy, empathy maps, and more. It also features bonus videos from 2021 with content on user interviews, UX…
Zero‑shot tabular woes? Google’s TabFM hybrid‑attention solves.
Data scientists often waste hours preparing data for predictive models. They must hand‑craft features, tune hyperparameters, and run separate training jobs for every new table they encounter. This slows down projects, increases costs, and makes it…
