How to Use AirgapAI for Competitive Research Without the Cloud

Become the strategist who finds signal without leaking intent to the internet. You research discreetly and decide decisively.

In today's fast-paced business world, staying ahead of the competition isn't just an advantage; it's a necessity. But what if your pursuit of competitive intelligence inadvertently reveals your strategic interests to the very entities you're researching? Traditional Artificial Intelligence tools, often residing in the cloud, pose a significant risk of data leakage, raising concerns about privacy, security, and the confidentiality of your most sensitive strategic inquiries.

Imagine being able to perform deep, insightful competitive research, summarize market trends, conduct comprehensive Strengths, Weaknesses, Opportunities, and Threats analyses, and even generate "attacker Point Of View" questions – all without a single piece of your proprietary data or research intent ever leaving your device. This is the power of AirgapAI. Designed for strategists, product managers, and sales leaders, AirgapAI offers a truly private and secure platform for advanced analytical tasks, ensuring your most critical insights remain your own. This article will guide you through the journey of harnessing AirgapAI for private analysis, leveraging public sources, and transforming raw data into actionable, secure intelligence.

Understanding Artificial Intelligence for Business: The Absolute Beginner's Guide

Before we dive into AirgapAI, let's establish a foundational understanding of Artificial Intelligence.

What is Artificial Intelligence?

At its core, Artificial Intelligence, often abbreviated as AI, refers to computer systems designed to perform tasks that typically require human intelligence. This includes learning, problem-solving, understanding language, recognizing patterns, and making decisions. Think of it as teaching a computer to think and learn like a human, but much faster and on a larger scale.

One of the most exciting advancements in AI is the Large Language Model, or LLM. Large Language Models are sophisticated Artificial Intelligence programs trained on vast amounts of text data, allowing them to understand, generate, and respond to human language. These are the engines behind popular Artificial Intelligence chat applications, capable of tasks from writing emails to answering complex questions.

Why Artificial Intelligence is Crucial for Business Today

In the modern business landscape, Artificial Intelligence is transforming how companies operate, offering capabilities such as:

Enhanced Productivity: Automating repetitive tasks and generating content much faster than humans alone.
Improved Decision-Making: Analyzing vast datasets to uncover insights and predict trends, leading to more informed strategic choices.
Cost Efficiency: Reducing operational expenses through automation and optimized resource allocation.
Innovation: Creating new products, services, and business models.

The Problem with Traditional Cloud Artificial Intelligence for Sensitive Tasks

While the benefits of Artificial Intelligence are clear, many businesses face significant challenges, especially when dealing with sensitive or proprietary information:

Data Leakage Concerns: Most popular Artificial Intelligence tools operate in the cloud, meaning your data, including your research queries and uploaded documents, is sent to external servers. This creates a risk that your confidential information could be stored, processed, or even used to train the Artificial Intelligence models of the provider, potentially exposing your strategic intent to competitors or unauthorized parties.
High Costs: Cloud-based Artificial Intelligence solutions often come with ongoing subscription fees, hidden token charges, and overage bills, making them expensive, especially for widespread adoption across an organization.
Artificial Intelligence Hallucinations: Cloud-based Artificial Intelligence can sometimes generate incorrect, misleading, or entirely fabricated information, a phenomenon known as "hallucination." This can undermine trust and require extensive human validation, negating productivity gains.
Lack of Data Sovereignty: For many regulated industries, keeping data within specific geographic borders or under direct organizational control is a legal or compliance requirement. Cloud-based solutions complicate this, as data might reside in servers across different countries.
Internet Dependency: Cloud Artificial Intelligence requires a constant internet connection, limiting its utility in secure, disconnected, or remote environments.

AirgapAI: The Solution for Private and Secure Artificial Intelligence

Iternal Technologies developed AirgapAI to directly address these critical business challenges. AirgapAI is a revolutionary platform that brings the power of advanced Artificial Intelligence directly to your Personal Computer, or PC, ensuring 100% local operation. This means your sensitive competitive research, proprietary data, and strategic queries never leave your device. AirgapAI is your private Artificial Intelligence strategist, empowering you to gain deep insights with unparalleled security and cost-effectiveness.

AirgapAI: Your Private Artificial Intelligence Strategist

AirgapAI isn't just another Artificial Intelligence tool; it's a paradigm shift for secure, on-device intelligence.

Core Value Proposition

AirgapAI delivers a trusted, secure, and cost-effective Artificial Intelligence experience. It runs entirely on your AI PC, leveraging robust hardware like Intel® Core Ultra processors, to provide powerful, local Artificial Intelligence capabilities without compromising security or budget.

Key Differentiators for Competitive Research

When it comes to competitive research, AirgapAI offers distinct advantages:

100% Local and Offline: With AirgapAI, there are no web calls, no external logs, and absolutely no data leaving your device. This means you can research competitor strategies, market trends, and internal vulnerabilities with complete confidence that your activities and sensitive documents remain private. This is ideal for federal, defense, financial, and healthcare sectors where data sovereignty and extreme security are paramount.
Blockify Technology for Unparalleled Accuracy: Competitive intelligence relies on accurate, trustworthy data. AirgapAI integrates Iternal's patented Blockify technology, which ingests vast datasets and distills them into concise, modular "blocks" of verified information. This process reduces data size by up to 97.5% and, remarkably, improves the accuracy of Large Language Models by 7,800% (or 78 times). This virtual elimination of Artificial Intelligence hallucinations ensures your competitive insights are reliable and actionable.
Cost-Effectiveness with a Perpetual License: Unlike cloud alternatives that demand recurring monthly subscriptions and unpredictable usage fees, AirgapAI operates on a one-time perpetual license per device. This significantly reduces your Total Cost of Ownership, making it up to 15 times more affordable than competitors like Microsoft CoPilot, with no hidden token charges or overage bills.
Entourage Mode for Multi-Perspective Strategic Thinking: Competitive strategy often benefits from diverse viewpoints. AirgapAI's unique Entourage Mode allows you to interact with multiple Artificial Intelligence personas simultaneously. Imagine a marketing strategist, a legal advisor, a technical expert, and even an "attacker Point Of View" persona all weighing in on the same competitive scenario, providing distinct, dataset-informed perspectives to enrich your strategic analysis.
Optimized for the AI PC: AirgapAI is designed to run efficiently on modern AI PCs, leveraging the Central Processing Unit (CPU), Graphics Processing Unit (GPU), and Neural Processing Unit (NPU) for optimal performance and power efficiency. This hardware integration ensures fast response times and the ability to handle complex Artificial Intelligence workloads locally.

Getting Started with AirgapAI: A Step-by-Step Training Guide

This guide assumes you know nothing about installing software or Artificial Intelligence. We will walk you through every detail.

System Requirements and Prerequisites

To ensure a smooth experience with AirgapAI, your Personal Computer, or PC, should meet or exceed the following specifications:

Component	Minimum	Recommended
Central Processing Unit (CPU)	8 Cores	8 Cores / 16 Threads or better (e.g., Intel® Core Ultra processors or equivalent)
Random Access Memory (RAM)	16 Gigabytes	32 Gigabytes or more
Disk Drive	10 Gigabytes free (Solid State Drive, SSD)	50 Gigabytes Non-Volatile Memory Express, NVMe (a type of SSD that is faster than traditional SSDs)
Graphics Processing Unit (GPU) (Integrated or Dedicated)	4 Gigabytes Video Random Access Memory (VRAM) 2024 or Newer	8 Gigabytes Video Random Access Memory (VRAM) or more (This is the dedicated memory for graphics processing, crucial for running Large Language Models efficiently. Integrated Graphics Processing Units from 2025 onwards are typically sufficient, or a dedicated Graphics Processing Unit)
Operating System (OS)	Windows 11	Latest Windows 11 patches and updates

Permissions: You will need appropriate security permissions to install software on your computer. If you are in an organizational setting, your Information Technology, or IT, department may need to assist.

Downloading and Installing the AirgapAI Application

The installation process for AirgapAI is designed to be straightforward, much like installing any standard desktop application.

Obtain the Installer Package: Your Information Technology department or Iternal Technologies will provide you with a secure link to download the latest AirgapAI installer package, typically a ZIP archive.
- Example File Name: AirgapAI-v1.0.2-Install.zip
- Save this file to a readily accessible folder on your computer, such as your "Downloads" folder or a new folder you create specifically for AirgapAI.
Extract the Files: Once downloaded, the installer package is compressed in a ZIP file. You need to extract its contents.
- Locate the downloaded AirgapAI-v1.0.2-Install.zip file.
- Right-click on the ZIP file.
- Select "Extract All..." from the context menu.
- A wizard will appear asking for a destination. You can choose the default option (which usually creates a new folder with the same name as the ZIP file inside your "Downloads" folder) or select a different location. Click "Extract."
Run the Installer:
- Navigate to the newly extracted folder.
- Inside, you will find an executable file named AirgapAI Chat Setup.exe.
- Double-click on this file to start the installation wizard.
Follow the Installer Wizard:
- User Account Control (UAC) Prompt: Your operating system might display a "User Account Control" prompt asking, "Do you want to allow this app to make changes to your device?" Click "Yes" to proceed.
- License Agreement: Read the license agreement carefully. To proceed with the installation, you must "Accept the license agreement." Click "Next."
- Desktop Shortcut: The installer will typically ask if you wish to "Create Desktop Shortcut." It is recommended to leave this checked for easy access. Click "Next."
- Installation Location: The installer will suggest a default installation location. For most users, this is acceptable. Click "Install."
- Installation Progress: The application will now install. This may take a few moments.
- Finish: Once the installation is complete, a "Finish" button will appear. Click "Finish."
Operating System Security Prompts: In some cases, your operating system's security features (like SmartScreen on Windows) might display a warning about running an unrecognized application. If this occurs, choose "Allow" or "Run anyway" to continue. AirgapAI is a trusted application.

First-Launch Onboarding Wizard

The first time you launch AirgapAI Chat, it will guide you through an onboarding process to set up your profile and load the necessary Artificial Intelligence models and datasets.

Launch AirgapAI Chat: Locate the desktop shortcut (if created) or find "AirgapAI Chat" in your Start menu and click to launch it.
Start Onboarding: On the initial screen, you'll see a prompt to "Start Onboarding." Click this button.
Profile & Chat Style:
- Display Name: Enter a name you'd like to use in the chat interface (e.g., your name or "Strategist"). The default is "You."
- Chat Style: Choose a preferred visual theme for your chat interface. Options might include "Iternal Professional," "Casual," "Dark Mode," "Retro," etc. Select the one you prefer.
- Click "Next."
Uploading the Core Large Language Model (LLM): This is the brain of your Artificial Intelligence assistant.
- On the "Models" screen, you'll see an "Available Models" drop-down menu, which will initially be empty.
- Click "Upload Model."
- A file browser window will open. Navigate to the /models/ folder located within the folder where you extracted the installer package in step 2 of "Downloading and Installing."
- Choose a Model: Select a model suited to your hardware specifications (refer back to the "System Requirements" section):
  - Llama-1B (1 Billion Parameters): Suitable for Personal Computers with 2024 Integrated Graphics Processing Units or low-power devices. This model is smaller and less demanding.
  - Llama-3B (3 Billion Parameters): Recommended for Personal Computers with Integrated Graphics Processing Units from 2025 or newer, or those with a dedicated Graphics Processing Unit. This model is more powerful.
- Click "Save." The upload and processing will take approximately 30 seconds.
- Note for Administrators: Information Technology administrators can later add or update Large Language Models by accessing the C:\Users\YourUsername\AppData\Roaming\IternalModelRepo folder. Replace YourUsername with the actual user's profile name.
Uploading an Embeddings Model: An embeddings model is crucial for understanding the meaning and context of your data, especially for Retrieval-Augmented Generation (RAG) tasks where the Artificial Intelligence needs to search your documents.
- Still on the onboarding page, click "Upload Embeddings Model."
- Navigate back to the /models/ folder from your extracted installer.
- Select Jina-Embeddings.zip.
- Click "Save." This upload will also take approximately 30 seconds.
- Note for Administrators: Information Technology administrators can add or update embeddings models by accessing the C:\Users\YourUsername\AppData\Roaming\IternalModelRepo folder.
Adding Sample or Custom Datasets: Datasets are the information AirgapAI uses to answer questions about your specific documents, leveraging Retrieval-Augmented Generation.
- Click "Upload Dataset."
- Navigate to the /datasets/ folder from your extracted installer.
- Select CIA_World_Factbook_US.jsonl (this is a sample dataset).
- Click "Save."
- Tip: While you can upload Word, PDF, or TXT files directly into the chat for summarization, for highly accurate, production-ready competitive intelligence, larger collections of documents should be processed through Blockify. This advanced technology significantly optimizes your data for Artificial Intelligence, yielding approximately 78 times greater accuracy. Local on-device Blockify capabilities will be fully available starting in Quarter 3 2025.
- Note for Administrators: Information Technology administrators can update loaded datasets by modifying the contents of files saved within C:\Users\YourUsername\AppData\Roaming\airgap-ai-chat\CorpusRepo.
Finish Onboarding:
- Verify that the core Large Language Model, embeddings model, and at least one dataset have been added.
- Click "Continue." AirgapAI Chat will now boot with your selected configurations, ready for use.

Optional Setup: Dell Technologies Dell Pro Artificial Intelligence Studio Support

AirgapAI Chat offers native integration with Dell Technologies’ Dell Pro Artificial Intelligence Studio (DPAIS) for enhanced Large Language Model support. This is an optional step, primarily for Information Technology teams who wish to leverage this specific functionality.

Install Required Files: As the Information Technology Systems administrator, install the necessary files to enable a Large Language Model via Dell Pro Artificial Intelligence Studio. Both Intel and Qualcomm processors are supported.
Validate Local Large Language Model API Endpoints: Ensure that the Dell Pro Artificial Intelligence Studio services are running and that the local Large Language Model Application Programming Interface, or API, endpoints can be successfully called.
Set Environment Variable: Open PowerShell (search for "PowerShell" in your Start menu) and input the following command:
```
[System.Environment]::SetEnvironmentVariable("DPAIS_ENDPOINT", "http://localhost:8553/v1/openai", "User")
```
Relaunch AirgapAI Chat: Close and then relaunch the AirgapAI Chat application. The Dell Pro Artificial Intelligence Studio Large Language Models will automatically appear in the model selection menu within the settings page.

Initial Model Benchmarking

Upon the first launch of a new Large Language Model, AirgapAI Chat will offer to benchmark your hardware's performance with that model.

Run Benchmark: It is highly recommended to click "Run Benchmark."
Duration: The benchmark process takes approximately two minutes. It measures important metrics like "tokens per second" (how fast the Artificial Intelligence can generate text) and "inference speed" (how quickly it can process requests).
Context-Size Limits: You can skip the benchmark, but if you do, the Artificial Intelligence's "context-size limits" (how much information it can consider at once for a response) will remain at a conservative 2,000 tokens.
Adjusting Context Window: After completing the benchmark, you can customize the token context window by visiting "Settings" > "Chat" and dragging the slider to your desired size, potentially up to 32,000 tokens, depending on your hardware.

Mastering Competitive Research with AirgapAI Workflows

Now that AirgapAI is installed and configured, let's explore how to leverage its powerful features for private and insightful competitive research.

The Competitive Research Canvas

Before you begin, visualize your research as a canvas. AirgapAI allows you to dynamically layer different types of intelligence: public reports, curated internal data, and multi-perspective analyses. The goal is to fill this canvas to generate comprehensive Strengths, Weaknesses, Opportunities, and Threats analyses and anticipate competitor moves through an "attacker Point Of View."

Step 1: Ingesting Public Sources (File Upload and Summarization)

The first step in competitive research often involves consuming large amounts of public information – annual reports, whitepapers, press releases, industry analyses, and news articles from competitors. AirgapAI makes this process fast and secure, keeping all data local.

Gather Your Documents: Collect all relevant public documents from your competitors or industry. These can be in various formats such as PDF, Word documents (.docx), or plain text (.txt).
Upload to AirgapAI:
- Open AirgapAI Chat.
- You can either drag and drop a file directly onto the chat window.
- Alternatively, click the paperclip icon (📎) located near the chat input field. This will open a file browser where you can select the document(s) you wish to upload.
Prompt for Summarization: Once the file is uploaded, you can ask AirgapAI to process it.
- Example Prompt: "Summarize this document in bullet points, focusing on key strategic initiatives and product announcements."
- AirgapAI will instantly embed and summarize the document, providing you with a concise overview without sending your research intent or data to external servers.
Example Scenario: Summarizing Competitor Reports:
- Imagine you have downloaded a competitor's latest quarterly earnings report and several industry news articles about their new product launch.
- Upload these files into AirgapAI.
- Ask: "What are the core growth strategies outlined in the earnings report, and what new product features were highlighted in the news articles?"
- AirgapAI will provide distilled answers, saving you hours of reading and ensuring your insights are based on local, private processing.

Step 2: Curating Your Intelligence with Blockify (Retrieval-Augmented Question and Answer with Blockify Datasets)

While summarizing public documents is useful, the true power for competitive research comes from Blockify. This patented technology transforms messy, unstructured data into a highly accurate, "single source of truth" corpus that virtually eliminates Artificial Intelligence hallucinations. This is crucial for precise competitive analysis, where accuracy is paramount.

What is Blockify?

Blockify is the ultimate data management solution for Large Language Models at scale. It allows you to take thousands of your documents – internal reports, market analyses, competitor profiles, product specifications – and condense them into concise, modular "blocks" of trusted data. Each block contains:

A Name: Displayed in blue, this quickly identifies the content topic.
A Critical Question: The key query a user might ask related to this content.
A Trusted Answer: A distilled, accurate response, vetted to avoid outdated or redundant information, preventing Artificial Intelligence hallucinations.

This process can reduce original data size by as much as 97.5% and improve Large Language Model accuracy by an astounding 7,800% (78 times).

Demonstrating Blockify in Action (The "Docs to Blocks" Workflow)

Currently, Blockify is a separate process, but its outputs seamlessly integrate with AirgapAI. Here's how the concept works:

Create a New Task: Within the Blockify interface (or a similar data ingestion tool coordinated with Iternal Technologies), you would create a new task, for example, "Competitive Intel Q3 2024."
Upload Your Documents: Ingest your raw competitive intelligence documents (e.g., thousands of competitor sales documents, Request for Proposal responses, market research reports).
Automatic Extraction and Distillation: Blockify automatically extracts key insights and distills them into modular blocks.
- You'll see blue block names identifying content topics.
- Bold, italicized critical questions highlighting what to ask.
- Light gray trusted answers representing the distilled and approved response.
Human Review and Curation: After ingestion, these blocks are sent for a quick human review. This step allows you to:
- Update or approve messaging.
- Flag outdated content (e.g., a competitor's 2019 pricing strategy) before it impacts Artificial Intelligence responses.
- Add rich metadata, including classification, permissions, and security levels, to support zero-trust environments.
Push to AirgapAI: Once curated, these Blockified datasets are packaged and can be securely pushed to AirgapAI installations on user devices via standard Information Technology image management applications like Microsoft Intune.

Using Blockify Datasets in AirgapAI Chat

With Blockified datasets loaded onto your AirgapAI application, you can now perform highly accurate, Retrieval-Augmented Question and Answer tasks for competitive intelligence:

Toggle On Your Dataset: On the sidebar of the AirgapAI Chat interface, you will see a list of available datasets. Toggle ON the relevant Blockified dataset for your competitive research (e.g., "Competitor Product Analysis Q3" or "Market Trends 2024").
Query Your Dataset: Ask specific questions related to the information contained within that dataset.
- Example Prompt: "What are the major differentiating features of [Competitor X]'s new product line compared to ours?" or "What market trends are projected to impact [Industry Sector] in the next 12 months, according to our curated reports?"
Receive Trusted Answers with Citations: The Retrieval-Augmented Generation engine within AirgapAI will fetch and rank the top data blocks that best answer your question. The Large Language Model then synthesizes a coherent, trusted answer, showing citations to the original Blockified data. This transparency allows you to quickly validate the source of your competitive insights.
Example Scenario: Analyzing Competitor Product Specifications:
- Your product team has Blockified all public competitor product manuals and data sheets.
- You toggle on the "Competitor Product Specs" dataset.
- Ask: "What is the battery life and processor type of [Competitor Y]'s latest ultraportable laptop, and how does it compare to our flagship model?"
- AirgapAI provides a precise answer based on the curated data, giving you a clear comparison without the risk of hallucination.

Step 3: Strategic Brainstorming with Entourage Mode (Multi-Persona Chat)

Competitive strategy demands looking at challenges and opportunities from multiple angles. AirgapAI's Entourage Mode is a powerful feature that allows you to simulate a brainstorming session with several expert Artificial Intelligence personas, each drawing from specific datasets and configured to offer unique perspectives. This is invaluable for generating "attacker Point Of View" questions and developing robust strategic responses.

Understand Entourage Mode: This mode allows users to interact with multiple Artificial Intelligence personas simultaneously. For example, when dissecting a competitor's move, your "Marketing Strategist," "Technical Analyst," and "Financial Planner" personas can all weigh in, offering different insights from their respective Blockified datasets.
Configure Personas: In AirgapAI, you can configure these personas in "Advanced Settings" → "Personas." For competitive research, consider setting up:
- Marketing Strategist Persona: Tuned with expertise in market positioning, customer segmentation, and messaging.
- Product Development Persona: Focused on feature sets, technological capabilities, and innovation roadmaps.
- Legal & Compliance Persona: Expert in intellectual property, regulatory risks, and contractual obligations.
- Sales Enablement Persona: Specializes in competitive selling, objection handling, and pricing strategies.
- "Attacker POV" Persona: Configured to think like your competitor, identifying weaknesses in your strategy or potential market entry points.
Apply Entourage Mode to Competitive Research:
- Select an Entourage Mode Workflow: From the new chat page, select an Entourage Mode quick start workflow, or configure a custom one.
- Pose a Strategic Challenge: Ask a question or present a scenario that requires multi-faceted analysis.
  - Recommended Prompt: "We are launching a new product called AirgapAI, which is a 100% local chat Large Language Model solution that is 1/10th the cost of other solutions with more capabilities. What are the key competitive advantages and potential weaknesses we need to be aware of? Please answer in short sentences from each persona's perspective."
  - Competitive Research Example Prompt: "Competitor Z has just acquired a smaller technology firm specializing in [specific technology]. How should we analyze this move? What are their likely next steps, and what should be our immediate counter-strategy?"
- Receive Diverse Responses: Watch as responses from each configured persona appear in a queue. Persona activity indicators will show which Artificial Intelligence is "typing," providing a dynamic, multi-perspective view.
- Identify Strengths, Weaknesses, Opportunities, and Threats (SWOT): By synthesizing the distinct answers from each expert persona, you can quickly build out a comprehensive SWOT analysis of your own position relative to the competitor, and anticipate their strategic plays.
- Generate "Attacker Point Of View" Questions: The "Attacker POV" persona is particularly valuable here, helping you generate critical questions that a competitor might ask about your product or strategy, allowing you to proactively address vulnerabilities.

Step 4: Role-Based Workflows for Targeted Analysis

AirgapAI allows for individualized experiences based on user profiles. This means different departments or roles within your organization can access tailored competitive intelligence workflows and datasets.

User Profile Integration: The AirgapAI application is tied to the user's profile upon login. This enables different users on the same device to have their own isolated experiences and access to specific datasets.
Configured per User Profile: Your Information Technology department can configure these role-based access points through your standard image and provisioning process.
Example Scenario: Departmental Competitive Briefings:
- A Sales team member logs in and sees a "Competitor Pricing Analysis" workflow, which queries a Blockified dataset of competitor price lists and contract terms, enabling them to quickly understand competitive offerings during client calls.
- A Product Development team member logs in and accesses a "Feature Comparison Matrix" workflow, querying Blockified product roadmaps and technical specifications to identify gaps and opportunities in your product portfolio.
- A Marketing team member uses a "Competitive Messaging Analysis" workflow, drawing insights from competitor advertising campaigns and public statements to craft more effective messaging.

Advanced Configuration for the Power User

For users who want to push the boundaries of AirgapAI's capabilities for competitive research, several advanced settings are available.

Context-Window Expansion

The "context window" refers to the amount of information (measured in "tokens," where a token is roughly a word or part of a word) that the Large Language Model can process and consider at one time when generating a response.

Purpose: For analyzing very long competitive reports, whitepapers, or large collections of news articles, expanding the context window allows AirgapAI to retain more information about the entire document, leading to more comprehensive and coherent summaries or analyses.
How to Expand: After your initial model benchmark is completed, go to "Settings" → "Model Settings." You can then set the "Max Tokens" slider, potentially up to 32,000 tokens, depending on your hardware's capacity.

Styling & Themes

Personalize your AirgapAI interface to suit your preferences, which can improve focus during intensive research tasks.

Customization: Go to "Settings" → "Appearance." Here, you can switch between predefined themes (like dark mode for late-night research) or even build custom Cascading Style Sheets, or CSS, for a unique look.

Workflow Templates

Workflow templates are pre-configured prompt chains that streamline common tasks, ensuring consistent and efficient research.

Creation & Editing: Navigate to "Settings" → "Workflows." You can add new workflows or edit existing ones. This feature is ideal for Information Technology departments to pre-load company-specific tasks, such as "Generate Competitor SWOT," "Summarize Industry Trends," or "Analyze Competitor Patent Filings," ensuring all users follow best practices for competitive intelligence.

In-App Benchmarking Suite

If you decide to experiment with different Large Language Models (e.g., a newer open-source model optimized for specific tasks), the in-app benchmarking suite allows you to assess its performance directly on your hardware.

Access: Go to "Settings" → "Benchmarking tab."
Testing: Run tests to evaluate tokens per second, inference speed, and other metrics to determine which models are most efficient for your competitive research needs.

Maintenance, Updates, and Support

Ensuring your AirgapAI remains cutting-edge and runs smoothly is straightforward.

Ongoing Updates and Maintenance

AirgapAI is continuously evolving with new features, performance enhancements, and security updates.

Update Cadence: Our update cadence is synchronized with your typical operating system or enterprise software update cycle.
Deployment: Whether pushing new Blockified datasets, application updates, or security patches, your Information Technology department can deploy new versions through familiar image management solutions like Microsoft Intune.
Update Manager: AirgapAI includes a built-in Update Manager. You can configure it to receive updates from a "Local Server" (managed by your IT department for maximum control and security) or a "Cloud" source in "Settings" → "Updates."
Note for Administrators: The update file server location can be changed by modifying the updaterConfig.json file located at C:\Users\YourUsername\AppData\Local\Programs\AirgapAI Chat\resources\auto-updater\updaterConfig.json.

Training and Support

We are committed to ensuring you maximize the value of AirgapAI.

Training: We offer a 30-minute introductory demonstration followed by personalized training sessions as an add-on service.
Online Resources: Our comprehensive online enablement page includes step-by-step videos, Frequently Asked Questions, user guides, and troubleshooting tips.
Customer Success: Our customer success team is available for follow-up calls and additional workshops after initial deployment.
Contact Support: For additional questions, you can contact the product team at support@iternal.ai.

Troubleshooting and Frequently Asked Questions

While AirgapAI is designed for ease of use, should you encounter any issues, our support resources are your first point of contact. Common questions about installation, model performance, or data ingestion are addressed in our online documentation and Frequently Asked Questions section.

Conclusion

You've learned how to transform your competitive research strategy from a risky cloud-dependent process into a fully private, secure, and highly accurate operation with AirgapAI. By leveraging 100% local processing, the unparalleled accuracy of Blockify technology, the multi-perspective insights of Entourage Mode, and the cost-effectiveness of a perpetual license, you can become the strategist who not only finds critical market signals but also safeguards your strategic intent. AirgapAI empowers you to research discreetly, decide decisively, and gain a true competitive edge without ever compromising your most valuable asset: your data.

Download the free trial of AirgapAI today at: https://iternal.ai/airgapai