How to Achieve 200% Efficiency by Using Report Writing AI, Genspark + Inline AI
Have you ever produced a draft report with ChatGPT but ended up spending several hours manually revising it before the final submission?
Some may think, 'AI can only assist with ideas and not with finalizing reports.' 'Instead of AI leaving traces of its work, I might as well do the writing myself.'
Many professionals have these concerns about report-writing AI. There are also those who avoid using AI altogether, believing it offers low utility.
Due to AI's inability to finalize documents, professionals continue to spend a significant amount of time writing and completing reports. This cycle repeats across various document types, such as proposals, plans, and analytical reports.
However, by combining AI specialized in documentation, rather than general AI like ChatGPT or Claude, it is genuinely possible to use AI alone to complete reports.
This article will detail tips for reducing report planning and writing time by over 70% with a combination of the recently acclaimed report writing AIs Genspark and InlineAI.
The Practical Limitations of General AI: Why Does Overtime Persist Even in the AI Era?
Why Writing Reports with ChatGPT or Claude Often Fails
Many professionals have attempted to write reports using general AI, but the reality often does not meet expectations.
Many AI tools fail to produce documents at the final submission level and remain at a conversational level that appears just passable.
Contrary to expectations of reducing work time with AI, more time is often spent editing and revising the drafts.
"The draft created by ChatGPT looked plausible, but when I asked, 'Where is this data sourced from?' it couldn't answer."
"We have a specific proposal format in our company, but Claude doesn't know it, so re-editing took longer."
General AIs like ChatGPT, Claude, Grok, and Perplexity cannot solve these problems.
Genspark: The Game-Changer in Data Collection and Analysis
Why Genspark Is Gaining Attention
Genspark is a document-specialized AI that automates from data collection to analysis.
If Google searches are mostly limited to surface news articles and blog posts, Genspark conducts in-depth searches through corporate reports, policy documents, and academic papers.
While ChatGPT often relies on common information and personal blogs that have hallucination risks, Genspark tends to provide data from clearly cited professional sources.
The Core Strengths of Genspark
Genspark first utilizes multiple AIs concurrently.
It uses ChatGPT, Claude, and Gemini simultaneously to provide more accurate and multidimensional analysis. It's structured such that one AI supplements what another might miss.
The automated SparkPage generation feature is also impressive. It systematically organizes search results like Wikipedia. You can compare information from various sources at a glance, structurally organized by sections, allowing selective utilization.
The ability to access specialized materials is extremely powerful. It delivers results based on data from recognized professional institutions. This spans from government release documents (such as those from the Ministry of Trade, Industry and Energy, and the Ministry of Environment), securities company research reports, consulting firm analysis reports (like McKinsey and BCG), to academic papers, research reports, and public company IR and business reports.
Also noteworthy is the capability to automatically generate professional slides through its AI Slides feature. Uploading a PDF, Word document, or Excel file allows for the creation of a professional slide deck in under 10 minutes. Particularly, it distinguishes itself by utilizing only reliable data through “No-Hallucination Tech,” which reduces hallucination effects by 90% compared to existing AI tools.
The Downsides of Genspark: Excellent Data, but What About Documents?
Good at Data Collection but Not at Document Finalization
While Genspark excels at collecting data, challenges still remain.
According to user feedback, while data collection speed has dramatically increased, creating actual reports based on the collected data still takes time.
Document Automation Unable to Match Formats; Significant Security Concerns
The first issue is the limitations of document formatting. While it can organize general information, it does not support specialized business formats.
Its ability to organize company documents for submission to executives or supervisors is relatively underwhelming.
The need for separate work to convert into completed documents is another hurdle.
Though it excels in research, final document writing based on those materials requires additional effort. It still falls slightly short of human capabilities in creating final versions.
Security concerns are another critical factor for companies.
With cloud-based services, there's always the risk of sensitive internal data being leaked, and it may not meet the security levels required in a corporate environment.
Ultimately, while data research is resolved, final document creation remains a task to be tackled.
Inline AI: The Final Word in Document Creation
This is where Inline AI perfectly complements the shortcomings of Genspark.
Why Inline AI Is Unique in Document Automation
The most significant distinction is that Inline AI fully supports industry-specific professional formats.
Inline AI is an AI document editor that provides everything from the document draft to the final version tailored to specific formats. It understands the flow and format of document creation, as well as pertinent needs and templates for various jobs, enabling it to generate industry-specific professional formats perfectly.
In the legal field, it covers written pleadings, contracts, and legal opinions; in education, it offers record sheets, specialized education plans, and other documentation; in business, it provides business plans, proposals, and investment IRs; in government-related work, it handles policy reports, official documents, and applications.
The readiness for immediate submission is also commendable.
Documents are generated at a level of professionalism suitable for direct passing through approval chains, available immediately without further editing.
An entirely secure environment alien to growth-focused enterprises is a significant advantage for corporate users.
All processing occurs locally on the user's PC using local RAG technologies, avoiding any transfer of document contents to servers. It satisfies the security requirements of large corporations and public institutions.
Perfect compatibility with the practical environment of Korean companies is also noteworthy.
It supports various formats like HWP, DOCX, and PDF, which means existing work materials can be used without alteration. Completed documents can be downloaded in the desired format, ensuring error-free final files.
The Real Benefits of Inline AI in the Workplace
✔︎ AI Verified by Law Firms: From Legal Notices to Complaints Automatically Completed
Genspark + Inline AI: The 3-Step Formula for Maximizing AI Utility
Using both tools together maximizes their respective advantages and perfectly complements Genspark’s shortcomings.
Step 1: Collect Specialized Data with Genspark
Set specific search terms to acquire the latest information with clear references. Conduct in-depth analysis of government policies, industry reports, and academic papers, then review the automatically generated structured information.
Step 2: Upload Data to Inline AI and Select a Template
Upload all the data downloaded from Genspark into Inline AI. You can upload various formats such as PDF, txt, and even hwp files simultaneously, along with existing company materials or templates.
Inline AI offers a variety of document templates. You can also use AI to create new formats from scratch.
Market analysis reports focus on trends, competition, and opportunity analysis; business plans include strategy, execution plans, and financial analysis; proposals highlight customer-tailored solutions and ROI analysis; and investment IRs are structured around business models, growth forecasts, and competitiveness.
Step 3: Completion and Finalization of Customized Documents
Enter specific instructions like 'Draft a strategic entry report for our company's AI business using the materials uploaded from Genspark.' Specify target readers, key messages, any unique company situations or constraints, and AI will craft a tailored document for your company based on the Genspark materials and internal company information.
For areas that need changes, you may request specific edits from AI or make edits directly in Inline AI's document editing screen. Once completed, download in the optimal format, like DOCX or PDF, and use it right away.
<Genspark AI + Inline AI> vs Existing Solutions like ChatGPT
The Google Search + ChatGPT method has hallucination risks and often lacks clear references. Documents generally need additional editing at a general structure level, taking considerable time.
The Genspark + Inline AI method includes clearly identified professional materials with explicit references and produces documents to a final, submission-ready level with industry-specific professional formats. Both data research and document finalization are handled by AI, drastically speeding up task processing.
Practical Verification: Case Studies Reducing 5 Hours of Work to 1 Hour
Planning Team: New Business Entry Strategy Report
The traditional method (total 6 hours) involves spending 2 hours searching for “healthcare IT market” on Google, 2 hours visiting multiple sites for data collection and organization, 1 hour drafting with ChatGPT, and 1 hour re-editing to match company formats.
How does this process change with the Genspark + Inline AI method (total 1.5 hours)?
It takes 40 minutes to search 'Healthcare IT Market 2025 Outlook' using Genspark (automatically collecting government healthcare policies, industry reports, foreign examples and structurally comprehensive analyses with SparkPage), 40 minutes for strategic new business report generation using Inline AI (including SWOT analysis, financial plans, and risk analysis), and 10 minutes for final review and adjustments.
The result is a significant reduction in work time and a dramatic improvement in document quality.
Marketing Team: Competitor Analysis Report
The existing method (total 4 hours) involved 2 hours visiting websites and collecting information on each competitor, 1.5 hours organizing fragmented information like news, social media, and advertisements, and 30 minutes creating analysis reports in PowerPoint.
In the Genspark + Inline AI method (total 1 hour), it takes 30 minutes to search 'Domestic Cosmetic Brand Competitive Landscape' in Genspark (summarizing major brand sales, marketing strategies, new product trends, encompassing industry trends and consumer analysis), 25 minutes completing a competitor analysis report with Inline AI (automatically generating positioning maps, benchmarking points, differentiation strategy), and 5 minutes for final review.
There is a notable reduction in work time and the analysis becomes more objective and comprehensive.
Researcher: Academic Paper Writing
The traditional method (total 8 hours) involved spending 4 hours on prior research and literature review, 2 hours analyzing research trends, and 2 hours drafting an academic paper.
With the Genspark + Inline AI method (total 2 hours), it takes 1 hour searching 'AI Education Efficacy Research Trends' on Genspark (comprehensive analysis of latest papers, research reports, foreign cases, encompassing research methodology and measurement indicators), 50 minutes creating an academic paper with Inline AI (automatically constructing standard formats including introduction, literature review, research method), and 10 minutes for final review and adjustments.
This led to reduced work time, more systematic literature review, and improved paper quality.
Start Document Automation with Report Writing AI Today
No longer toil through late nights due to document search and writing.
Professional data collection by Genspark and the complete document generation of Inline AI, there is no better report solution than this.
After just a week of trying out this combination, you will quickly understand why it's gaining popularity among professionals.
From your next report, getting off at 6 PM on Friday can become a reality.
Writing reports without overtime is no longer just a dream.
