1. Summary
explainx.ai, operated by AISOLO Technologies Private Limited (“AISOLO”, “we”), publishes educational material about AI. This page is our public disclosure of how that material is made.
In short:
- We use a combination of AI agents to help write and structure content.
- All content is researched manually by a person before it is drafted.
- All content is reviewed by experts before it is published online.
- A named human editor is accountable for every published piece. Agents assist; they do not publish.
This page supplements our Terms of Service and Privacy Policy. Where those documents address a topic directly, they control.
2. What this covers
This policy applies to editorial content we publish on the Platform, including:
- Blog posts, guides, tutorials, and explainers on explainx.ai/blog.
- Course, bootcamp, and workshop material, including lesson text and quizzes.
- Newsletter issues, daily AI news roundups, and release notes.
- Descriptions, summaries, and categorizations in our directories and registries.
- Learning pathways, resource libraries, and reference pages.
It does not cover real-time output from interactive AI features (see Section 7), content submitted by users, or third-party material we link to.
3. How we use AI agents
We build with AI, and we use AI to help produce what we publish. We think being explicit about that is more useful to readers than pretending otherwise.
We use a combination of agents rather than a single model or a single prompt. Different agents handle different parts of the work — for example, outlining against a researched brief, expanding a section, checking internal consistency, tightening language, or flagging claims that need a citation. Output from one agent is frequently the input to another, and to a human editor.
Agent output is treated as a draft, never as a finished piece. It is always edited by a person, and it is never published without the research and review steps described below.
4. Manual research
All content is researched manually. Before an agent drafts anything, a person decides what the piece should say and assembles the underlying material.
- Topics are selected by our team based on what learners ask us, what we see in classrooms and bootcamps, and what is changing in the field.
- Sources are gathered and read by a person — primary documentation, model and provider release notes, papers, benchmarks, official pricing pages, and firsthand testing.
- We prefer primary sources. Where we state a number, a benchmark, a price, a limit, or a date, we work from the original source rather than a secondhand summary.
- Where we make a technical claim about how something behaves, we generally verify it by running it.
Facts introduced by an agent that a human has not sourced are removed or replaced with a verified claim. We do not publish citations we have not checked.
5. Expert review before publication
Every piece is reviewed by an expert before it goes online. Review is performed by practitioners on our team — instructors, engineers, and subject-matter reviewers who work in the area the content covers.
Review checks, at minimum:
- Accuracy — claims match the cited sources; numbers, model names, versions, and dates are correct.
- Code and commands — examples are executed or read line by line, not accepted on sight.
- Currency — the piece reflects the state of the tooling at the time of publication.
- Completeness — material caveats, limits, and costs are stated rather than omitted.
- Originality and attribution — the work is ours, and third-party material is quoted, attributed, and linked.
A piece that fails review is revised or dropped. Publication is a human decision, taken by a human editor.
7. AI features are different from published content
Some parts of the Platform generate text live, in response to you — for example Melo, our learning copilot, AI search and chat, generated practice questions, personalized learning paths, and the browser extension's page summaries.
That output is generated on demand and is not human-reviewed before you see it. It can be wrong, out of date, or incomplete, and it is not covered by the research and review process in Sections 4 and 5. Treat it as a study aid, verify anything you intend to rely on, and see our Terms of Service for the applicable disclaimers. How data is handled in these features is described in our Privacy Policy.
8. Directory and user-submitted content
Our public directories — skills, MCP servers, AI tools, agents, models, and agent loops — include entries submitted by users or derived from publicly available sources. Listing text originates with its submitter or source; we may generate summaries or categories to make listings searchable. Submissions are moderated under our Submission Guidelines, but we do not independently verify every field in every listing and we make no claim that directory data is complete, accurate, or current.
9. What we do not do
- We do not auto-publish. Nothing reaches the site straight from a model without human research and expert review.
- We do not publish AI-generated statistics, quotes, citations, or case studies that a person has not traced to a real source.
- We do not accept payment to alter editorial conclusions. Sponsored or affiliate relationships, where they exist, are disclosed on the page itself.
- We do not publish content designed to rank without being useful to a reader.
- We do not present machine-generated output as the work of a named human reviewer who did not review it.
10. Corrections and updates
AI tooling changes quickly, and some of what we publish has a short shelf life. We revisit high-traffic material periodically and update it in place; substantive updates are reflected in the page's published or updated date.
If you find an error, tell us at [email protected] with Content correction in the subject line and a link to the page. We correct factual errors promptly and, where a correction materially changes the meaning of a piece, we note it on the page.
11. Contact
Questions about how a specific piece was produced, who reviewed it, or what sources it used: [email protected]. We are happy to say.
We may revise this page as our process changes. Check the “Last updated” date above.
Registered office: AISOLO Technologies Private Limited, 1003, Kamdhenu Commerz, Sector 14, Kharghar, Navi Mumbai 410210, Maharashtra, India.