How to Create Role-Based Workflows for Sales, Legal, and Finance with AirgapAI: Guided Prompts for Enterprise Excellence

Become the operator whose workflows feel custom-built for every role. Imagine a world where your team operates with crystal-clear direction, not guesswork, producing enterprise-grade output from day one. This isn't just about efficiency; it's about transforming your organization into a synchronized powerhouse, where every decision is informed, every document is precise, and every interaction is impactful. You’re not just implementing a tool; you're cultivating an identity of operational excellence, where confidence in artificial intelligence (AI) outputs is the norm, not a hopeful exception.

This comprehensive guide will walk you through leveraging AirgapAI by Iternal Technologies to design, implement, and manage role-based workflows with guided prompts tailored for specific departments like Sales, Legal, and Finance. We'll provide extreme detail, assuming you know absolutely nothing about AI, ensuring you can standardize excellence, accelerate productivity, and maintain unparalleled data security across your enterprise.

Understanding AirgapAI: Your Foundation for Secure, Accurate Artificial Intelligence

Before we dive into creating customized workflows, let's establish a foundational understanding of AirgapAI and its core technologies.

What is AirgapAI?

AirgapAI is a groundbreaking offline, on-device large language model (LLM) platform designed to bring the power of generative AI directly to your personal computer (PC) without ever touching the cloud. Think of it as your own secure, private ChatGPT-like assistant, but with enterprise-grade controls, enhanced accuracy, and unparalleled data sovereignty.

100% Local and Offline: Unlike most AI solutions, AirgapAI runs entirely on your local device, such as a Dell AI PC, with no external network "in" or "out." This means your data never leaves your environment, making it ideal for high-security, sensitive, or disconnected environments. This is a truly private AI solution, offering offline AI capabilities and ensuring secure AI with offline mode.
Cost-Effective: AirgapAI is sold as a one-time perpetual license per device. This means you own your AI, eliminating ongoing subscription fees, hidden token charges, or overage bills associated with cloud alternatives like Microsoft Copilot or ChatGPT Enterprise. It offers an average cost savings of 1/10th to 1/15th compared to these solutions. This is a no subscription AI app and a one device AI license.
Ease of Deployment: AirgapAI is an installable AI software distributed as an executable application (executable .exe file) that integrates seamlessly into standard information technology (IT) imaging workflows. If you can open Microsoft Word or Excel, you can use AirgapAI. It's truly an "easy button" for generative AI.
Flexible Model Support: Users can bring their own large language models or choose from a suite of pre-quantized, open-source models (e.g., Llama, Mistral, DeepSeek) provided with the application, ensuring AI with local model support.

The Power of Blockify Technology

At the heart of AirgapAI's superior accuracy lies its patented Blockify technology. This is the ultimate data management solution for large language models at scale.

Traditionally, when you ask an AI a question based on your own data (a process known as Retrieval-Augmented Generation, or RAG), the AI has to sift through potentially messy, redundant, or outdated documents, often leading to "hallucinations" – instances where the AI generates incorrect or fabricated information. If you can't trust your AI once, you can't ever trust it.

Blockify solves this by transforming your raw data into a highly optimized, single source of truth:

Ingestion and Condensation: Blockify ingests large datasets (e.g., thousands of sales documents, legal contracts, or research papers) and intelligently condenses them into concise, modular "blocks" of data. This process can reduce the original data size by as much as 97.5%.
Structured Information: Each block includes:
- A name (displayed in blue) to quickly identify the content topic.
- A critical question (bold and italicized) representing the key query a user might ask.
- A trusted answer (light gray) providing a distilled, accurate response, avoiding outdated or redundant information.
Enhanced Accuracy: This meticulous process dramatically refines data inputs for your large language models, leading to an astounding 78 times (7,800%) improvement in accuracy and virtually eliminating AI hallucinations. This means AI with no data leaks and 78X less hallucinations.
Security and Governance: Each block is tagged with rich metadata, including classification, permissions, and security levels. This supports zero-trust environments, ensuring AI for privacy protection and secure AI for personal data. Updates to these datasets can be securely pushed to local devices via standard image management applications like Microsoft Intune.

Why Role-Based Workflows Matter

In today's complex enterprise, every department has unique needs, jargon, and objectives. A generic AI assistant, while helpful, often falls short of providing the precise, context-aware support necessary for specialized tasks. This is where role-based workflows come in.

Standardize Excellence: By creating workflows tailored to specific roles (e.g., sales, legal, finance), you ensure consistent, high-quality output across the board. No more reinventing the wheel or inconsistent messaging. This helps standardize excellence.
Accelerate Productivity: Guided prompts within these workflows automatically select relevant curated datasets and pre-configure the AI for specific tasks. This drastically reduces the time and effort employees spend on prompt engineering – the art of crafting effective questions for AI – allowing them to focus on high-value work.
Enhance Security and Compliance: With AirgapAI, you can bind specific datasets, curated via Blockify, to individual user roles or profiles. This means a sales team member won't accidentally access sensitive legal documents, and vice versa, supporting AI for confidential chats and AI for privacy protection.
Tailored Experience: Whether you're in procurement, legal, or engineering, a role-based workflow provides a personalized experience, making the AI feel like a specialized assistant who understands your job. This creates customizable AI personalities and allows you to build your own AI assistant.

Setting Up Your AirgapAI Environment: A Step-by-Step Guide

To begin transforming your enterprise workflows, you first need to install and configure AirgapAI on your AI PC. This process is designed to be straightforward, even if you're new to AI applications.

System Requirements and Prerequisites

AirgapAI is optimized to run efficiently on modern hardware. Here are the recommended specifications for the best experience:

Component	Minimum	Recommended
Central Processing Unit (CPU)	8 Cores	8 Cores / 16 Threads or better
Random Access Memory (RAM)	16 Gigabytes (GB)	32 GB+
Disk Space	10 GB free (Solid State Drive)	50 GB Non-Volatile Memory Express (NVMe)
Graphics Processing Unit (GPU) (Integrated or Dedicated)	4 GB+ Video Random Access Memory (VRAM) (2024 or Newer)	8 GB+ VRAM
Operating System (OS)	Windows 11	Latest patches

Permissions: You will need security permissions to install applications on your device.

Downloading and Installing AirgapAI

Obtain the Installer Package: Your IT department will provide the latest ZIP archive from an internal or cloud link.
- Example file: AirgapAI-v1.0.2-Install.zip
Save the File: Save the ZIP archive to a writeable folder, such as your "Downloads" folder.
Extract the Files: Right-click on the AirgapAI-v1.0.2-Install.zip file and select "Extract All..." Choose a destination (the default is often a new folder under "Downloads") and click "Extract."
Run the Installer: Open the newly extracted folder. Double-click on AirgapAI Chat Setup.exe.
Follow the Installer Wizard:
- Accept the license agreement.
- Choose to create a Desktop Shortcut (recommended for easy access).
- Click "Install."
- Click "Finish."
Security Prompt: If your operating system's security features (like SmartScreen or Gatekeeper) prompt you, choose "Allow" or "Run anyway."

First-Launch Onboarding Wizard

Upon launching AirgapAI Chat for the first time (via your desktop shortcut or Start-menu entry), the application will check for existing models. If none are found, the Onboarding flow will begin to guide you through initial setup.

Start Onboarding: Click the "Start Onboarding" button.
Profile & Chat Style:
- Enter a display name (default is "You").
- Pick a preferred Chat Style (e.g., Iternal Professional, Casual, Dark Mode, Retro).
- Click "Next."
Uploading the Core Large Language Model (LLM): This is the brain of your AI assistant.
- On the Models screen, expand the "Available Models" drop-down. It will be empty initially.
- Click "Upload Model."
- Browse to the /models/ folder inside the extracted installer folder.
- Choose a model suited to your hardware:
  - Llama-1 Billion (1B): Ideal for 2024 integrated Graphics Processing Units (iGPUs) or low-power devices.
  - Llama-3 Billion (3B): Suitable for iGPUs from 2025 or dedicated Graphics Processing Units (GPUs).
- Click "Save." The upload takes approximately 30 seconds.
- Note: IT Administrators can add/update models by accessing the folder created after model upload, typically within %appdata% at C:\Users\[Your_Username]\AppData\Roaming\IternalModelRepo.
Uploading an Embeddings Model: This model helps the AI understand the meaning and context of your data for accurate retrieval.
- Still on the onboarding page, click "Upload Embeddings Model."
- Open the /models/ folder and select Jina-Embeddings.zip.
- Click "Save." This upload also takes approximately 30 seconds.
- Note: IT Administrators can add/update embeddings models by accessing the folder created after model upload, typically within %appdata% at C:\Users\[Your_Username]\AppData\Roaming\IternalModelRepo.
Adding Sample or Custom Datasets: These datasets power Retrieval-Augmented Generation (RAG), allowing the AI to answer questions using your specific information.
- Click "Upload Dataset."
- Navigate to the /datasets/ folder from the install folder.
- Select CIA_World_Factbook_US.jsonl (a sample dataset).
- Click "Save."
- Note: IT Administrators updating loaded datasets can push new updates by modifying contents within %appdata% at C:\Users\[Your_Username]\AppData\Roaming\airgap-ai-chat\CorpusRepo.
- Tip: While you can upload Word, PDF, or TXT files directly, converting larger corpora to Blockify format (local on-device Blockify will be available in Q3 2025) provides approximately a 78 times accuracy gain.
Finish Onboarding: Verify that all three items (Core LLM, Embeddings Model, and at least one Dataset) are added, then click "Continue." AirgapAI Chat will now boot with your selections.

Optional Setup Steps: Dell Technologies Dell Pro Artificial Intelligence Studio (DPAIS) Support

AirgapAI Chat supports native integration with Dell Technologies’ Dell Pro AI Studio (DPAIS) for enhanced model management. This is an optional step for IT teams.

As the IT Systems Administrator, install the required files to enable an LLM via DPAIS (both Intel and Qualcomm are supported).
After DPAIS services are running and you've validated that the local LLM Application Programming Interface (API) endpoints can be called, open PowerShell and input the following command:
```
[System.Environment]::SetEnvironmentVariable("DPAIS_ENDPOINT", "http://localhost:8553/v1/openai", "User")
```
Relaunch the AirgapAI Chat application, and the DPAIS LLMs available will automatically appear in the model selection menu in the settings page.

Initial Model Benchmarking

On the first launch after setting up your model, AirgapAI Chat will offer to Benchmark your hardware.

Click "Run Benchmark" (recommended): This process takes approximately two minutes. It measures tokens per second (the rate at which the AI generates text) and inference speed, providing valuable insights into your system's performance.
Context-Window Expansion: You can skip the benchmark, but your context-size limits will remain at a conservative 2,000 tokens until a benchmark is completed. The context window determines how much information the AI can "remember" or process at one time. After benchmarking, you can expand this by visiting "Settings" > "Chat" and dragging the slider to the desired size, up to 32,000 tokens.

Mastering Role-Based Workflows with AirgapAI

Now that your AirgapAI environment is set up, let's explore how to create and leverage role-based workflows to empower your teams with specialized, accurate, and secure AI assistance. This is where you transform a general AI into a highly effective virtual expert for specific job functions, enhancing AI for confidential chats and enabling customizable AI personalities.

Understanding Workflow Templates

Workflow templates in AirgapAI are pre-configured structures designed to guide users through specific tasks. They can include:

Pre-loaded Prompt Chains: A series of questions or instructions that streamline complex tasks, reducing the need for users to master prompt engineering.
Bound Datasets: Automatically select and restrict the AI to specific, relevant Blockify datasets, ensuring answers are derived from approved, accurate sources.
Tone and Format Defaults: Set the desired tone (e.g., professional, casual) and output format (e.g., bullet points, executive summary) for consistency.

These templates ensure that every user, regardless of their AI expertise, can produce consistent, high-quality, and on-brand output, achieving standardized excellence.

Creating Custom Datasets with Blockify for Specific Roles

The foundation of effective role-based workflows is high-quality, relevant data. Blockify technology makes it easy to curate this data for each department.

A. Ingesting Documents into Blockify: From "Docs" to "Blocks"

This process transforms your raw, messy documents into a clean, accurate, and AI-ready corpus of information.

Identify Role-Specific Documents: Gather all relevant documents for a particular role.
- Sales: Sales collateral, product specifications, customer relationship management (CRM) notes, frequently asked questions (FAQs), competitive analysis.
- Legal: Contracts, regulatory guidelines, policy documents, legal precedents, case studies.
- Finance: Financial reports, budget documents, auditing guidelines, market analysis, investor relations information.
Create a New Task in Blockify:
- Open the Blockify application.
- Create a new task (e.g., "Sales Proposal Data," "Legal Contract Clauses," "Q3 Financial Summary").
Upload Your Documents: Upload your chosen documents. Blockify natively ingests text, HyperText Markup Language (HTML), Portable Document Format (PDF), Word documents (.docx), PowerPoint presentations (.pptx), and graphic files. For video content, it can extract still frames or transcribe audio.
Automatic Extraction and Structuring: The system automatically extracts key blocks of information and structures them:
- Blue Block Names: Quickly identify content topics (e.g., "AirgapAI Features," "Contract Terms and Conditions," "Quarterly Revenue Report").
- Bold, Italicized Critical Questions: Highlight the key queries a customer or internal user might ask (e.g., "What are the key differentiators of AirgapAI?", "What are the liability clauses in this contract?", "What was the net profit for Q3?").
- Light Gray Trusted Answers: Represent the distilled, accurate, and approved response, avoiding outdated or redundant data (e.g., "AirgapAI offers 100% local AI, 78x accuracy with Blockify, and a perpetual license model," "Liability is limited to the direct damages incurred by the non-breaching party," "Net profit for Q3 was $X million, a Y% increase from Q2").

B. Human Review and Refinement

While Blockify is powerful, human oversight remains crucial, especially for sensitive enterprise data.

Review Ingested Blocks: After automatic ingestion, these blocks are sent for a quick human review.
Update or Approve Messaging: Reviewers (subject matter experts from each department) can:
- Update outdated content (e.g., flagging a 2019 policy document).
- Refine answers for clarity, accuracy, and tone.
- Ensure all information aligns with current company standards and messaging.
Maintain Data Lifecycle: This "human in the loop" process ensures that only trusted, current, and relevant information impacts AI responses, improving AI data quality and providing trusted answers for AI technology.

C. Tagging with Metadata for Zero-Trust Environments

For robust security and precise control over data access, each block is tagged with rich metadata.

Add Classification and Permissions: Assign tags for:
- Classification: Public, Internal, Confidential, Secret.
- Permissions: Sales-only, Legal-only, Finance-only, Executive-access.
- Classification Levels: (e.g., for federal or defense applications).
Support Zero-Trust: This granular tagging ensures that even if a block were somehow accessed, its permissions would prevent unauthorized use, enforcing a secure local AI assistant and a privacy first AI assistant.
Bind Datasets to Roles: These tags enable IT to bind specific datasets to individual user roles or profiles within AirgapAI, ensuring that a Sales persona only queries sales data, and a Legal persona only queries legal data.

Implementing Role-Specific Workflows in AirgapAI Chat

Once your Blockify datasets are curated, integrating them into AirgapAI Chat allows users to experience the power of role-based workflows.

A. Utilizing Quick Start Workflows

AirgapAI features intuitive Quick Start workflows designed for immediate productivity.

Access the Workflow Bar: Located below the new chat window in the AirgapAI application.
Select a Workflow: Choose a workflow relevant to your task (e.g., "Start a Chat," "Sales Proposal – Cover Letter," "Legal Contract Summary").
Select Your Dataset: In the sidebar, toggle on the Blockify dataset relevant to your task (e.g., "Iternal Technologies Enterprise Portfolio Overview" for sales, "Vendor Contracts" for legal). This ensures the AI queries your curated data.
Enter Your Prompt: Provide a concise or detailed prompt.
- Example for Sales: "Create a marketing outline for a new Dell AI PC." (This will query general-purpose LLM data trained on the public internet initially).
- Example for Blockified Sales Data: With your "Iternal Technologies Enterprise Portfolio Overview" dataset selected, prompt "What is AirgapAI?" or "What are the core value propositions of Iternal Technologies?" The system will identify, rank, and synthesize a coherent, trusted answer from the top data blocks.
Receive Engineered Output: The AI will generate a fully engineered output. You can then click "Copy" to place the text on your clipboard.

B. Binding Datasets to User Profiles

AirgapAI is designed for enterprise deployment and multi-user environments.

User-Specific Access: The application is tied to the user's profile on login. This allows multiple users of the same device to each leverage the application with their own isolated experiences and datasets.
IT Configuration: IT departments can configure the device image so that each user accesses personalized, role-specific datasets stored within their user folder. This is managed through your standard image and provisioning process, allowing for secure AI for personal use and local device private AI.
Dataset Updates: As new documents are Blockified and datasets updated, these updated datasets can be pushed to local devices via Microsoft Intune or similar image management applications, ensuring your AI always has the most current information.

C. Advanced Workflow Templates for IT Administrators

For deeper customization and organizational-wide standardization, IT administrators can create and manage advanced workflow templates.

Access Settings: Go to "Settings" -> "Workflows" within the AirgapAI application.
Add/Edit Prompt Chains: Here, you can define complex prompt chains, specifying multiple steps, conditional logic, and default parameters for the AI's responses.
Pre-load Company-Specific Tasks: IT can pre-load these custom workflows across the organization, ensuring that all teams have access to standardized tools for common company-specific tasks (e.g., "Generate a quarterly compliance report summary," "Draft a project post-mortem analysis").

Leveraging Entourage Mode for Multi-Persona Insights

AirgapAI’s unique Entourage Mode allows users to interact with multiple AI personas simultaneously, providing diverse perspectives from their respective datasets. This is particularly powerful for complex decision-making, strategic planning, or scenario analysis.

What is Entourage Mode? It's a feature that allows you to configure multiple AI "experts" or "personas," each with access to different Blockify datasets and pre-defined characteristics, to weigh in on a single query. This truly offers customizable AI personalities.
Configuring Personas: In "Advanced Settings" → "Personas," you can define various roles, such as Marketing, Sales, Engineering, Legal Analyst, Financial Advisor, or even highly specialized roles like a CIA Analyst and a Military Tactician.
- For example, a CIA analyst persona can be set up with expertise in intelligence gathering, target package details, and sensitive data interpretation. A military tactician persona can be tuned to provide insights on ground operations, combat strategies, and tactical decision-making.
Simultaneous Interaction: When you ask a question, each persona processes it through its allocated dataset, and their distinct answers appear in a queue, often with a persona activity indicator showing which "expert" is currently typing. This multi-perspective view supports high-stakes decision-making and scenario planning.
Recommended Prompt for Demonstrating Entourage Mode: "I am launching a new product called AirgapAI, it is a 100% local chat Large Language Model solution that is 1/10th the cost of other solutions with more capabilities, what do you think? Please answer in short sentences."
- Your Marketing persona might highlight messaging and market fit.
- Your Legal persona might flag compliance considerations.
- Your Sales persona might suggest value propositions for different customer segments.

Real-World Application: Role-Based Workflow Templates

To illustrate the power of role-based workflows, here are three starter templates for common enterprise functions. These show how guided prompts paired with curated Blockify datasets can drive significant value.

1. Sales Team: Automated Proposal Generation

Objective: To quickly generate compelling, accurate, and on-brand sales proposals, cover letters, and pitch outlines, reducing sales cycle time and ensuring consistent messaging.
Dataset (Blockify): Sales collateral (product sheets, service descriptions), customer success stories, pricing models, competitive analysis, frequently asked questions, legal disclaimers.
Workflow Template Focus: Proposal drafting, email generation, competitive differentiation.
Prompt Chain Example:
1. Initial Prompt: "Generate a cover letter for a new Dell AI PC proposal, emphasizing cost savings, secure AI, and 78X accuracy, for a financial services client. Include a call to action for a demo."
2. Follow-up (Internal Only): "List three key pain points for a financial services client regarding cloud AI, and how AirgapAI specifically addresses them."
3. Refinement Prompt: "Adjust the tone of the cover letter to be more formal and highlight our compliance with industry regulations."
Benefit: Provides fast AI wins for sales teams, ensuring every proposal is consistent, accurate, and tailored to the client's industry, all while leveraging private AI data, AI not sharing data, and a confidential AI chat app.

2. Legal Department: Contract Analysis and Summarization

Objective: To rapidly analyze legal documents, identify key clauses, summarize complex agreements, and flag potential risks or non-compliance issues, speeding up legal review processes.
Dataset (Blockify): Past contracts (vendor agreements, non-disclosure agreements), legal precedents, company policies, regulatory compliance guidelines (e.g., HIPAA, GDPR, Sarbanes-Oxley Act), internal legal guidelines.
Workflow Template Focus: Contract review, risk assessment, policy summarization.
Prompt Chain Example:
1. Initial Prompt: "Summarize the key liability clauses in this vendor contract (upload document) and highlight any non-standard terms compared to our internal legal guidelines. Pay special attention to data privacy provisions."
2. Follow-up (Internal Only): "Provide a list of all indemnification clauses and any associated limitations of liability."
3. Refinement Prompt: "Rephrase the summary for an executive audience, focusing on high-level risks and actionable recommendations."
Benefit: Enables legal teams to conduct faster, more accurate reviews, ensuring compliance and reducing legal exposure, all within a secure private AI chat environment with a local secure AI software.

3. Finance Team: Financial Report Summaries and Risk Assessment

Objective: To distill complex financial reports, budget documents, and market analyses into actionable insights, identify trends, and assess financial risks for informed decision-making.
Dataset (Blockify): Company financial statements (income statements, balance sheets, cash flow statements), budget forecasts, investor reports, market analysis reports, risk assessment frameworks, audit findings.
Workflow Template Focus: Report summarization, trend analysis, risk identification.
Prompt Chain Example:
1. Initial Prompt: "Provide a bullet-point summary of the Q3 earnings report (upload document), focusing on revenue growth, profit margins, and any identified financial risks or opportunities."
2. Follow-up (Internal Only): "Compare Q3 performance against budget forecasts for key operational expenditures. Highlight any significant variances."
3. Refinement Prompt: "Draft an executive summary of these findings, outlining the strategic implications for the next fiscal quarter."
Benefit: Accelerates financial analysis, provides clear communication of financial health, and supports rapid, data-driven decision-making, ensuring secure AI for personal data and private AI with no tracking.

Maintenance, Updates, and Support for AirgapAI

Iternal Technologies is committed to ensuring a seamless experience with AirgapAI, from installation to ongoing use.

Installation Protocol

"AirgapAI is delivered as an executable file that integrates straightforwardly into your standard Windows imaging process. Our deployment manual provides detailed instructions on imaging, provisioning, and role-specific configuration."
For initial or seed deployments, the process is coordinated directly with the Iternal team, ensuring the application and all intended datasets (pre-packaged via Blockify) are pre-loaded for immediate use.

Ongoing Updates and Maintenance

"Our update cadence is synchronized with your typical operating system or enterprise software update cycle. Whether pushing new data to Blockify datasets or deploying security patches, IT can deploy new versions through familiar image management solutions."
Updates are managed by a built-in Update Manager, allowing you to choose between a Local Server or Cloud source in Settings -> Updates. This flexibility ensures your local AI chat application remains up-to-date and secure.

Training and Support

"We offer a 30-minute introductory demonstration followed by personalized training sessions as an add-on service. Our online enablement page includes step-by-step videos, frequently asked questions, user guides, and troubleshooting tips."
Our dedicated customer success team is readily available for follow-up calls and additional workshops after initial deployment, ensuring you have the support needed to maximize your AirgapAI investment. For additional questions, you can contact the product team at support@iternal.ai.

The Unmatched Value of AirgapAI: Powering Your Enterprise with Confidence

AirgapAI stands apart as the premier solution for enterprises seeking to harness the power of AI without compromising security, accuracy, or budget. By embracing role-based workflows and guided prompts powered by Blockify technology, your organization will:

Achieve Fast AI Wins: Deploy and see immediate business value across multiple departments in days, not months.
Realize Robust Cost Savings: Own your AI with a perpetual license, operating at a fraction of the cost of cloud alternatives, with no subscription AI app.
Ensure Unparalleled Data Security: Run 100% locally on your AI PC, guaranteeing offline AI access anywhere and complete data sovereignty, ideal for AI for confidential chats and secure AI with end-to-end privacy.
Eliminate AI Hallucinations: Leverage Blockify's 78 times (7,800%) accuracy improvement for reliable, trusted answers, building confidence in your AI.
Experience Scalable Governance with Practical Speed: Standardize excellence and accelerate productivity through custom workflows, all while maintaining IT control and security.

With AirgapAI, you're not just adopting a new technology; you're adopting a new way of working – a way that is smarter, safer, and undeniably more efficient. It's time to build your own AI assistant that truly serves your enterprise needs.

Ready to Transform Your Workflows?

Experience the power of private LLM technology designed for the modern enterprise. Unlock secure, accurate, and cost-effective AI PC capabilities today.

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