Shodhyantri Engineering Services
Research · Analysis · Editing · Publication Support
If AI tools helped with your draft, we help you check facts, fix generic writing, bring back your own reasoning and disclose AI use correctly.
Tell us about your ai-assisted draft revision need. We reply within one working day.
AI-assisted draft revision is for scholars who used tools such as ChatGPT, Gemini or Claude while drafting and now need the text to be accurate, specific and truly their own. AI drafts often read smoothly but say little. They may contain invented references, outdated facts and claims that do not match your data. Shodhyantri helps you find and fix these problems in your own thesis or paper.
We also help you follow the rules. Many publishers and universities now allow limited AI assistance but require disclosure, and do not accept AI tools as authors. We help you understand your journal's or university's policy and write a clear disclosure statement. We do not promise to make text undetectable. Our aim is a sound, verified and properly disclosed manuscript that you can defend.
Large language models predict likely text. That makes them useful for brainstorming or language suggestions, but it also means they can produce confident statements with no source, citations to papers that do not exist, and general paragraphs that could fit any study. In research writing, each of these is a serious problem. Reviewers and examiners increasingly recognise generic, repetitive phrasing and check references.
Policies are evolving. Major publishers and bodies such as COPE state that AI tools cannot be listed as authors, because they cannot take responsibility for the work. Many journals ask authors to disclose AI use in the methods, acknowledgements or a dedicated statement. Universities may have their own rules for theses. The scholar remains responsible for every word, figure and citation.
We check each reference against databases and publisher sites, flag those that cannot be found and help you replace them with real sources.
We compare claims, statistics and descriptions with your actual data, methods and the cited sources, so the text says what is true.
We mark generic passages and ask questions that bring out your own interpretation, examples and decisions, which you then write in.
We help you read your target journal's or university's AI policy and prepare a disclosure statement that matches it.
We edit repetitive structures, filler words and inflated claims typical of AI drafts into plain, precise academic English.
We do not offer detector bypassing or promise any AI or similarity score. We help you produce honest, verified, disclosed work.
Ten stages, each with a clear output. Nothing moves to the next stage until you have reviewed the last one.
— You review every stage first, then decide —
Does every citation exist, with correct authors, year, title, source and identifier?
Is each factual claim backed by a cited source or by your own data?
Do numbers, methods and results in the text match your actual analysis output?
Do paragraphs carry your reasoning and examples, rather than general statements fit for any study?
Does the manuscript follow the journal's or university's rules on AI use?
Is AI assistance disclosed accurately, in the place and form the policy requires?
Every stage is shared with notes explaining what was changed and why. You and your supervisor check it, and the next stage starts only after your go-ahead.
| Common problem | How Shodhyantri helps |
|---|---|
| Keeping AI-suggested references without checking that the papers actually exist. | Verify every reference in a database or on the publisher's site, and replace any that cannot be found. |
| Listing an AI tool as a co-author or thanking it as a contributor. | Follow the journal policy: AI tools are not authors. Disclose their use in the place the journal specifies. |
| Not disclosing AI use when the journal requires it. | Read the policy and include an accurate statement of how and where AI tools were used. |
| Paragraphs that define well-known concepts at length without linking them to your study. | Cut general definitions and explain how the concept applies to your problem, sample or setting. |
| Results section describing findings that differ from the actual analysis output. | Rewrite the results directly from your output tables, and check every number and direction of effect. |
| Running text through paraphrasing tools to lower detector scores. | Revise the content itself with your own reasoning and verified sources. Score-chasing does not fix accuracy or integrity. |
Note which tool you used, for what and when. It makes accurate disclosure easy and protects you if asked.
Treat every AI-suggested reference as unverified until you have found and read the actual source.
Add details from your fieldwork, lab or data that no tool could know. They make the text genuinely yours.
Check the journal's or university's AI rules before drafting, not after. Some uses may not be allowed.
Avoid pasting unpublished data, participant details or reviewer reports into public AI tools.
Words such as crucial, pivotal and multifaceted often signal empty sentences. Replace them with specifics or delete.
Many publishers restrict AI-generated images in papers. Check rules before using any generated figure.
Your supervisor should know how you used AI tools. Agreement early avoids problems at submission or viva.
Your work is handled by people who read your field's literature, not by a single generalist.
A PhD-qualified specialist from your field who checks the research logic, gap and contribution.
Handles statistics, models and qualitative coding, and documents every analytical decision.
Improves structure, flow, clarity and academic tone without changing your meaning.
Builds and validates MATLAB, Python, ANSYS or COMSOL work where your study needs it.
Checks grammar, consistency, numbering, citations and the small errors examiners notice.
Applies your university or journal template, reference style and front matter exactly.
No, and we do not offer that. AI detectors are unreliable, and chasing a score does not fix invented references, wrong facts or missing reasoning. We help you verify, revise and disclose properly, so the work stands on its accuracy and your own contribution.
It depends on the journal, publisher or university. Many allow limited assistance, such as language editing, with disclosure, but do not allow AI tools as authors. Some restrict generated images. We help you read and follow the policy that applies to you.
No. Acceptance is decided by journals through peer review, and universities set their own checks. We cannot promise any outcome or score. We help you submit a verified, honest and well-written manuscript.
No. We mark generic or weak passages and ask guiding questions; you revise them with your own reasoning and knowledge. We then edit the language. The scholarly content must come from you.
We search for each reference in databases such as Google Scholar, Crossref, PubMed or publisher sites, check details such as authors, year, title and DOI, and flag any we cannot find or that do not support the claim.
Usually it names the tool, explains what it was used for, and confirms that the authors reviewed the output and take responsibility. Each journal may specify wording and placement. We help you match its requirements.
Yes. We do not share your draft, and we do not paste your unpublished data or text into public AI tools during our review. Tell us if your university has specific confidentiality rules.
We provide research guidance, statistical analysis, editing, formatting and training support. All research content remains the scholar's own work, in line with UGC and university academic integrity norms. We do not guarantee publication, acceptance, indexing or academic outcomes: journals decide through peer review and universities award degrees.
Share your topic, draft or data. We will tell you honestly what it needs, and what it does not, before you pay anything.