Question 1

What does AI mean?

Accepted Answer

AI stands for Artificial Intelligence—software that can learn and perform tasks typically requiring human intelligence.

Question 2

What does AGI mean?

Accepted Answer

AGI stands for Artificial "General" Intelligence—software that can perform any intellectual task that a human can.

Question 3

What does GPT mean?

Accepted Answer

GPT stands for Generative Pre-trained Transformer—a type of AI model that can generate human-like text based on a given input.

Question 4

What does ML mean?

Accepted Answer

ML stands for Machine Learning, a subset of AI where models learn patterns from data to make predictions or decisions.

Question 5

What does NLP mean?

Accepted Answer

NLP stands for Natural Language Processing, the branch of AI focused on understanding and generating human language.

Question 6

What does LLM mean?

Accepted Answer

LLM stands for Large Language Model—a very large neural network trained on vast text data to generate human‑like language (e.g., chatbots).

Question 7

What does API mean?

Accepted Answer

API stands for Application Programming Interface—a set of rules that lets different software applications communicate with each other.

Question 8

What does MCP mean?

Accepted Answer

MCP stands for Model Context Protocol—Intellisync’s framework. It allows your A.I. to access custom private tools, resources, memory, and data.

Question 9

What is VPC?

Accepted Answer

VPC stands for Virtual Private Cloud. It is a private cloud environment that is isolated from the public internet.

Question 10

What does RAG mean?

Accepted Answer

RAG stands for Retrieval‑Augmented Generation—an AI technique that first fetches relevant documents then uses them to craft accurate answers.

Question 11

What is a DB?

Accepted Answer

A DB stands for Database—a collection of data stored in a structured format.

Question 12

What is a VPS?

Accepted Answer

A VPS stands for Virtual Private Server—a virtual machine that runs on a physical server.

Question 13

What is a VDB?

Accepted Answer

A VDB stands for Vector Database—a database that stores data in a vector format that allows AI to understand the relationships between data points.

Question 14

What does GPU mean?

Accepted Answer

GPU stands for Graphics Processing Unit—a specialized chip that accelerates AI model training and inference.

Question 15

What does UI mean?

Accepted Answer

UI stands for User Interface—the part of a program or device that you interact with.

Question 16

What does UX mean?

Accepted Answer

UX stands for User Experience—the overall experience of using a product or service.

Question 17

What is Artificial Intelligence (AI)?

Accepted Answer

Artificial Intelligence is software that can learn from data and perform tasks that normally require human intelligence—like recognising patterns, making decisions, or generating text.

Question 18

How is Machine Learning different from AI?

Accepted Answer

Machine Learning is a subset of AI that focuses on training models to recognise patterns in data. AI is the broader goal; ML is one of the toolkits that gets us there.

Question 19

Why are Large Language Models (LLMs) important?

Accepted Answer

LLMs can read and generate human-style text, enabling chatbots, email drafting, and code suggestions without writing custom rules for every sentence.

Question 20

Will AI replace human jobs?

Accepted Answer

NO! AI replaces repetitive tasks, not people. People that know how to use AI will replace those that don't.

Question 21

What is the difference between a chatbot and an AI agent?

Accepted Answer

A chatbot is a pre-programmed system that can answer questions or perform tasks based on a set of rules. An AI agent, on the other hand, can learn from data and improve its performance over time.

Question 22

What is the difference between a chatbot and an AI assistant?

Accepted Answer

A chatbot is a pre-programmed system that can answer questions or perform tasks based on a set of rules. An AI assistant, on the other hand, can learn from data and improve its performance over time.

Question 23

How does AI "learn" from data?

Accepted Answer

During training, an algorithm looks at thousands or millions of examples, tweaks its internal parameters, and gradually improves its predictions—much like practising until you get better at a skill.

Question 24

What are the main risks of using AI?

Accepted Answer

Key risks include biased outputs, hallucinated facts, data-privacy leaks, and over-reliance on automated decisions. Always validate results and safeguard sensitive info. Pro-tip: Always keep "Humans-in-the-Loop"

Question 25

Do I need coding skills to experiment with AI tools?

Accepted Answer

No. Many platforms—including Intellisync GPT Builder—offer drag-and-drop or low-code experiences so anyone can start.

Question 26

How much does it cost to get started with AI?

Accepted Answer

Costs range from free community tiers to enterprise subscriptions. Most beginners can run small experiments for pennies or even free.

Question 27

What’s the easiest way for a beginner to try AI?

Accepted Answer

Start with a cloud-hosted chatbot or use a free tier of an AI service—no hardware or setup required.

Question 28

Is my data safe when using cloud AI services?

Accepted Answer

Look for providers that encrypt data in transit and at rest, follow SOC-2 or ISO standards, and give you control over data retention.

Question 29

What is fine-tuning models with proprietary data?

Accepted Answer

Fine-tuning with proprietary data can boost relevance and accuracy. The process often involves converting your documents into training data, vectorizing them, and producing a private model checkpoint. Always confirm data privacy and intellectual property protections.

Question 30

Is my data secure?

Accepted Answer

Yes, data security should always be a top priority. Look for platforms that encrypt data in transit (e.g., TLS 1.3) and at rest (e.g., AES-256). It’s also important to verify whether vendors offer multi-tenant isolation, conduct regular vulnerability scans, and engage in third-party penetration testing. These practices help minimize risks and protect sensitive information in modern AI deployments.

Question 31

Do you offer API access?

Accepted Answer

API access is a key feature for extending functionality and automating workflows. Look for platforms that support REST or GraphQL endpoints, offer webhooks for real-time data events, and use industry-standard authentication protocols like OAuth 2.0. Analytics and usage dashboards are also useful for tracking performance and managing quotas.

Question 32

Can you deploy on-premises instead of the cloud?

Accepted Answer

Yes—on-premises deployment is common for organizations with strict data-residency or regulatory requirements. Look for vendors that support containerized or virtualized installations within your VPC or private data center. Air-gapped options and customer-managed encryption keys add further control.

Question 33

Do you offer private MCP servers for enterprises?

Accepted Answer

Enterprises often need isolated environments for compliance, performance, or internal policy reasons. A private AI server—or dedicated instance—can provide single sign-on (SSO), custom scaling, and advanced provisioning. This architecture supports enterprise-grade governance and integration needs.

Question 34

Do you offer custom AI model fine-tuning?

Accepted Answer

Yes—fine-tuning involves training a base model on domain-specific data to improve accuracy and relevance. When working with a provider, make sure your data remains confidential and that any fine-tuned model outputs are restricted to your account or deployment.

Question 35

What compliance standards do I need to meet?

Accepted Answer

Trustworthy AI providers follow industry compliance frameworks like SOC 2 Type II, ISO 27001, or HIPAA. For international customers, GDPR and regional data residency agreements are critical. Always ask about certifications and third-party audits.

Question 36

How is data stored and retained?

Accepted Answer

Data is typically stored in encrypted databases and object storage systems. Raw logs may be retained for debugging purposes but are often deleted after 30–90 days. Look for clear data retention policies and opt-out options for long-term analytics.

Question 37

What is an uptime SLA?

Accepted Answer

A good uptime SLA (Service Level Agreement) provides transparency and guarantees around platform availability. Common tiers include 99.9% or 99.99% uptime. High-reliability systems use multi-zone redundancy, automated failover, and 24/7 monitoring.

Question 38

How do model updates work?

Accepted Answer

AI platforms regularly release model updates to improve accuracy and reduce bias. Look for options to schedule updates, pin a preferred model version, or enable auto-upgrades during off-peak hours.

Question 39

Can I integrate with third-party tools?

Accepted Answer

Most platforms support third-party integration through APIs, SDKs, or native connectors. Tools like Slack, Stripe, Zapier, and HubSpot are common targets. If flexibility is key, look for webhook support and a GraphQL or REST interface.

Question 40

Is there a rate limit on the API?

Accepted Answer

Yes—API rate limits help manage system load and ensure fairness. Free plans usually allow limited daily calls, while higher tiers support higher volume and burst capacity. Enterprise agreements may include negotiated ceilings.

Question 41

What is Intellisync Solutions?

Accepted Answer

Intellisync is an AI-Native software studio that turns complex machine-learning magic into click-and-go tools. From drag-and-drop chatbot builders to enterprise-grade Model Context Protocol (MCP) servers, we deliver automation, insights, and personalized agents without the usual technical pain.

Question 42

How can I contact support?

Accepted Answer

Our humans are on standby 9 AM–5 PM PT, Monday–Friday. Drop us a line at chris.june@intellisync.ca to speak with the #2 human in charge.

Question 43

What Models do you use?

Accepted Answer

Depending on your unique needs, we use OpenAI, Anthropic, and Meta. Our engineering team can also use frontier quality open-source models that further reduce and in some cases eliminate the cost hurdle for both Business and personal use cases.

Question 44

What problems does Intellisync solve for businesses?

Accepted Answer

Every company is a one-of-one, so we build one-of-one AI. Our team designs executive-grade agents that interpret KPIs, forecast scenarios, coordinate projects, and adapt in real-time to shifts in your data. Whether you need a CFO-style dashboard that surfaces cash-flow insights or a support bot that speaks in your brand voice, we tailor each solution to your exact workflows—no generic "for the millions" templates. Thanks to our Model Context Protocol (MCP) layer, these agents connect securely to your CRM, ERP, or data warehouse without disrupting existing systems, giving you actionable intelligence and reclaimed time.

Question 45

Do I need coding skills to use Intellisync products?

Accepted Answer

Nope. We happily build custom AI-Native platforms for businesses. Our team can also help you build custom AI solutions for your personal use cases.

Question 46

How long does it take to get started?

Accepted Answer

Typical timeline: **Kick-off Day 0**, data audit **Day 3**, working prototype **Day <30 days**.

Question 47

What are your support hours?

Accepted Answer

Core support is 9 AM–5 PM PT, Monday–Friday. Paid tiers get a 30-minute SLA during those hours, plus round-the-clock monitoring for P1 incidents.

Question 48

Our business has custom needs. Can you help?

Accepted Answer

Absolutely. We offer Discovery Sprints where our engineers workshop your unique workflow. We then design a private agent architecture unique to your business.

Question 49

What is your business model?

Accepted Answer

We operate a hybrid **SaaS + Professional Services** model: subscription tiers for self-serve tools, usage-based pricing for API calls, and fixed-price or retainer engagements for custom builds.

Question 50

What problems does Intellisync solve for individuals?

Accepted Answer

We offer fully scoped business consulting focused on you and your needs. IntelliSync helps small businesses move closer to AI‑Native workflows—bridging the gap between everyday operations and intelligent automation. Whether you’re exploring AI for the first time or scaling existing systems, our goal is to simplify adoption, boost efficiency, and future‑proof your business.

Question 51

What are the pricing plan tiers?

Accepted Answer

Our After Care plans are designed to scale with your needs:

• **Launchpad** ($99/month): 1 support request, annual system updates, 1 included hour
• **Momentum** ($149/month): 3 support requests, annual system updates, 3 included hours  
• **Ascent** ($249/month): 5 support requests, semi-annual system updates, 5 included hours
• **Continuum** ($449+/month): High-volume support, quarterly + SEO optimization, 5+ included hours

Each plan includes uptime monitoring, performance insights, and priority support during business hours.

Question 52

Tell me about Banked Hours.

Accepted Answer

Banked Hours are pre-included development time in your After Care Plan that can be used for minor improvements, content updates, technical tweaks, or consultations.

**Plan Details:**
• **Launchpad**: 1 hour/month
• **Momentum**: 3 hours/month
• **Ascent & Continuum**: 5 hours/month

**How They Work:**
• Use hours for enhancements, tweaks, or quick builds
• Unused hours roll over for 90 days
• After 90 days, unused hours expire

**Important Notes:**
• Banked Hours are billed at a discounted rate of $150/hr if exceeded
• Rollover hours are capped at 90 days—after which they expire
• Work exceeding the plan may require a new estimate
• Unused Banked Hours cannot be refunded or exchanged
• Priority support is given to clients with active After Care Plans

**Rates:**
• Included work: $150/hour (discounted)
• New clients or non-plan holders: $250/hour (standard)

Question 53

What contract discounts do you offer?

Accepted Answer

We offer the following contract discounts for longer commitments:

• **2-Year Plan**: 5% discount
• **3-Year Plan**: 10% discount
• **4-Year Plan**: 15% discount
• **5-Year Plan**: 20% discount
• **Annual Prepay Bonus**: Additional 10% off when you pay annually

These discounts are applied to the base monthly rate and can be combined with other promotions where applicable.

Question 54

What are your hourly rates?

Accepted Answer

Our hourly rates depend on your relationship with us:

• **After Care Plan Clients**: $150/hour (discounted rate for overflow work)
• **One-Off or Out-of-Scope Work**: $250/hour (standard rate for new clients or work outside existing plans)

After Care clients get priority scheduling and discounted rates for additional work beyond their included hours.

Question 55

What are common use cases for After Care Plans?

Accepted Answer

After Care Plans are perfect for ongoing website and AI maintenance. Common use cases include:

• Content updates and blog post additions
• Design improvements and UI enhancements
• AI chat optimizations and conversation flow updates
• SEO and performance tuning
• Accessibility or legal compliance updates
• Embedded tool upgrades and integrations

These plans ensure your digital presence stays current, optimized, and aligned with your business goals.

Question 56

Are there any other notes about After Care plans?

Accepted Answer

Important notes about After Care Plans:

• All After Care Plans apply to your website and AI assistant integrations
• Standalone apps like BusinessOne, PersonalOne, and GPTBuilder are managed separately
• Plans can be upgraded or downgraded with 30 days notice
• Unused hours from previous months roll over for up to 90 days
• All work is performed during business hours (9 AM - 5 PM PT, Monday - Friday)

Contact our team for a customized plan that fits your specific maintenance and growth needs.

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