Not a Chatbot. A Product Expert.
Marcus doesn't search docs or parrot FAQs.
He understands two worlds deeply:
Their project, constraints, code, files, design, goals, errors, budget, stack, and specific needs.
Docs, limitations, pricing, architecture, features, strengths, weaknesses, and alternatives.
And performs the mapping between them.
This is what no chatbot has ever done correctly.
⚙️ Marcus is a True "Product Expert AI"
Reasons like a senior solutions architect
Understands like a product manager
Explains like a UX writer
Sells like a sales engineer
Supports like a tech lead
Diagnoses like a debugger
Recommends like a consultant
Warns like a compliance officer
Why Marcus?
Eliminates User Confusion Instantly
Users land on a site thinking: 'Is this what I need?' 'Which plan is right for me?' 'Can this tool solve my problem?' Marcus answers that in seconds.
Reduces Drop-offs from Choice Paralysis
Most companies lose 70–90% of visitors who don't understand the product, pick the wrong plan, or get overwhelmed by docs. Marcus guides users like an expert.
Qualifies Visitors Automatically
Marcus detects budget, timeline, technical fit, intent, and use case. So the sales team no longer wastes time on bad leads.
Gives Personalized Recommendations
Marcus doesn't guess. He recommends the correct product, plan, SKU, and workflow. No generic chatbot can do this.
Cuts Support Volume by 30–50%
Marcus answers early-stage questions, product comparisons, feature explanations, onboarding steps, and 'does this solve X?' inquiries. Support teams get fewer repetitive tickets.
Boosts Conversion Significantly
Users who understand the product convert. Users who are confused don't. Marcus increases conversion by removing friction, reducing confusion, and providing clarity at the exact right moment.
Works 24/7 and Never Gets Tired
No scheduling. No sales reps asleep at 3 AM. No missing leads. Marcus gives instant product expertise anytime, anywhere.
Voice + Text Conversations
Powered by ElevenLabs' conversational AI, your agent can talk naturally with visitors.
Trained on Your Docs
Upload your product documentation, pricing, and FAQs. The agent learns your product inside-out.
Sales-Focused Conversations
Not just support — Marcus agents qualify leads, handle objections, and guide buyers to checkout.
One Line of Code
Embed your agent like Stripe or Intercom. Copy, paste, done.
Analytics Dashboard
Track conversations, conversion rates, and what questions visitors ask most.
Custom Branding
Match your brand colors, voice, and personality.
🔍 Marcus is Certainty
Every visitor lives in doubt:
❓ "Does this tool work for MY stack?"
❓ "Will this API support MY use case?"
❓ "Do I need the Pro or the Enterprise plan?"
❓ "Is this plugin compatible with MY workflow?"
❓ "Is this hardware safe for MY voltages?"
❓ "Is this template right for MY brand?"
Marcus takes all these unknowns and replaces them with a clear, justified Yes/No.
That level of clarity is extremely rare, even with human sales engineers.
Marcus provides it instantly.
A Universal Product–User Matching System
"Is this product actually right for me, given my specific context?"
That is what kills sales today.
That is what frustrates users.
That is what wastes time.
That is what creates friction.
Marcus eliminates all of that.
Real Use Cases Across Every Industry
Marcus becomes a different expert for each product — understanding your customer's specific context and matching them to the right solution
Database, API frameworks, cloud tools
User uploads Node.js project:
"I need real-time sync for 10k users. Will your service handle this?"
Marcus analyzes code & replies:
"Yes — our Realtime Premium Tier gives 25k concurrent connections. Your code already uses WebSockets; here's the exact modification for our SDK."
✓ Instant clarity → instant sale
Templates, plugins, font libraries
Designer uploads Figma file:
"I want a clean fintech style. Which template should I buy?"
Marcus analyzes design & replies:
"Template A matches your palette and typography. Your layout uses an 8px grid — Template A also uses that system. Here's a preview of your screens using Template A."
✓ Understands designer better than they know themselves
Components, microcontrollers, parts
User uploads schematics:
"I'm building a 4-motor robot. Which motor controller should I buy?"
Marcus analyzes specs & replies:
"Based on your motor specs (47W, 11.5V), you need Controller X. Controller Y will burn out — it only supports up to 9V. Here's the wiring diagram for your exact motors."
✓ Removes all research friction
Enterprise software & tools
Company asks about pricing:
"I need to automate 500k emails/month. Which plan?"
Marcus analyzes workflow & replies:
"Your current workflow needs the Enterprise Tier because of event-driven triggers. But you can stay on Pro if you switch to batch processing. Here's the exact automation template."
✓ Enterprise sales faster than human reps
Machine learning models & datasets
Researcher uploads dataset:
"Which model fits my data?"
Marcus analyzes structure & replies:
"You need Model X. Your data has mixed numerical + categorical fields — Model X is trained for that. Here's code to fine-tune using your file."
✓ Nothing else exists like this
Custom development services
Client uploads mockups:
"Can you build this app? Here's the Figma file."
Marcus generates instant quote:
"Yes. Estimated timeline: 7–9 weeks. Tech stack: React Native + Supabase. Expected cost: $6,900–$8,200."
✓ Transforms entire agency business model
Equipment, supplements, devices
User asks for recommendation:
"I need a knee brace for ACL recovery."
Marcus matches product to needs:
"Based on your activity level (running) and joint stiffness, Brace X provides lateral support suitable for ACL healing. Avoid Brace Y — it's designed for mild sprains."
✓ Product matching without diagnosis
Online courses, bootcamps, training
Student uploads GitHub profile:
"I want to learn AI. Which course?"
Marcus analyzes skills & replies:
"Your GitHub shows strong JS but no Python. Start with Course A (Python basics), then Course B (ML). Skip Course C — it's too advanced for your current background."
✓ Better than any human advisor
Visual development platforms
User uploads spec doc:
"Can your no-code builder create an app like Uber?"
Marcus determines feasibility:
"Yes, but you need the 'Logic Pro' module for geolocation tracking. Here's the architecture using your feature list."
✓ Instant feasibility assessment
Product recommendations & sizing
Shopper asks about fit:
"Will these running shoes work for marathon training?"
Marcus analyzes needs:
"Based on your weight (180lbs) and weekly mileage (40mi), you need maximum cushioning. These shoes are rated for 300mi lifespan. For marathons, consider Model X with carbon plate."
✓ Product expert for every item
Analytics, automation, SEO tools
Marketer asks about features:
"Can I track attribution across 5 different ad platforms?"
Marcus checks integrations:
"Yes — our Premium plan supports Facebook, Google, LinkedIn, TikTok, and Twitter attribution. You'll need the Multi-Touch Attribution add-on for $49/mo to see full customer journey."
✓ Precise tier recommendation
Payment processing, accounting, invoicing
Business owner asks:
"I process $500k/month. What are the fees?"
Marcus calculates exact costs:
"At $500k volume, you'll pay 2.4% + 30¢ per transaction on Standard. But if you upgrade to Volume Pricing, you'll pay 2.1% and save $1,500/month. Here's the breakeven analysis."
✓ Instant ROI calculation
Database, API frameworks, cloud tools
User uploads Node.js project:
"I need real-time sync for 10k users. Will your service handle this?"
Marcus analyzes code & replies:
"Yes — our Realtime Premium Tier gives 25k concurrent connections. Your code already uses WebSockets; here's the exact modification for our SDK."
✓ Instant clarity → instant sale
Templates, plugins, font libraries
Designer uploads Figma file:
"I want a clean fintech style. Which template should I buy?"
Marcus analyzes design & replies:
"Template A matches your palette and typography. Your layout uses an 8px grid — Template A also uses that system. Here's a preview of your screens using Template A."
✓ Understands designer better than they know themselves
Components, microcontrollers, parts
User uploads schematics:
"I'm building a 4-motor robot. Which motor controller should I buy?"
Marcus analyzes specs & replies:
"Based on your motor specs (47W, 11.5V), you need Controller X. Controller Y will burn out — it only supports up to 9V. Here's the wiring diagram for your exact motors."
✓ Removes all research friction
Get Started in 3 Simple Steps
Set up your AI sales agent in less than 5 minutes
Connect
Upload your product info, docs, pricing, and FAQs
Train
AI learns your product and how to sell it effectively
Embed
Add one line of code to your site and go live instantly
🛠️ Marcus is Your Company's Brain, Automated
Marcus internalizes everything about your company and uses it to act like the most accurate, aligned version of your business:
✓ Product documentation
✓ Internal knowledge base
✓ Sales playbooks
✓ Engineering constraints
✓ Known edge cases & bugs
✓ Product roadmap
✓ Pricing strategy
✓ Competitor comparisons
✓ Ideal customer profiles
✓ Brand voice & values
🚀 The Simplest Definition
Marcus is the AI version of "the one person in the company who actually knows everything."
A New Interface Layer for the Entire Internet
Marcus transforms the web from:
"Pages that explain products"
"Agents that match products to you"
A shift as big as going from brochures → websites
When you step back, Marcus is the beginning of a future where:
Every website understands your project
Every product knows if it's right for you
Every tool becomes context-aware
Every company interacts with you through reasoning
Integrates with Your Stack
Shopify
Stripe
Slack
Analytics
CRM
🚀 Why Marcus is Different
Marcus thinks instead of just chatting
Traditional chatbots were designed in the pre-reasoning era
Where "chat" meant:
• Routing
• Simple Q&A
• Scripted flows
• Links to docs
• Deflection instead of solving
• Upselling based on fixed rules
• Limited context
• Shallow embeddings
• No real analysis of user data or files
Marcus vs Chatbots
✨Marcus can see:
User's project, code, design files, workflows, configs, databases, errors, goals, constraints
💬Traditional chatbots see:
A text message, maybe a user ID. No deep context. No reasoning.
Marcus can tell users:
"Your project is too big for Plan A"
"Feature X won't solve your case"
"You should NOT buy this product"
This creates trust, and trust → conversion.
📁Marcus processes:
Traditional chatbots only handle text.
Traditional chatbot:
"Here's a link to docs"
Marcus:
Understands intention → maps to product → generates implementation code → packages solution → explains pricing
Chatbots give information. Marcus gives outcomes.
Chatbots help after the sale. Marcus helps before, during, and after.
Marcus can:
✓ Diagnose technical situation
✓ Recommend the correct product
✓ Generate implementation code
✓ Compare with competitors
✓ Explain limitations honestly
✓ Design solution architecture
Marcus replaces an entire SE team.
Marcus is trained on:
✓ Product docs
✓ Internal specs
✓ Architecture diagrams
✓ Support transcripts
✓ Competitor comparisons
✓ Pricing logic
✓ Sales scripts
✓ Technical limitations
✓ Roadmap
✓ Compliance constraints
Marcus turns the entire company brain into an agent.
This is a massive differentiator psychologically and commercially.
"Our product is NOT right for your project. But Product B in our lineup is."
This is expert honesty — something no SaaS chatbot will risk doing.
Companies choose Marcus because it increases real conversions instead of artificially inflating fake leads.
Marcus can tell users:
Cloud company → Cloud Architect
Design company → UX Mentor
Hardware store → Electronics Engineer
SaaS → Sales Engineer
Agency → Quote/Feasibility Bot
DevTools → DevOps Specialist
Traditional chatbots' mission:
• Lower support tickets
• Automate basic actions
• Reduce workload
• Minimize cost
Marcus's mission:
• Close sales
• Match product to user
• Increase conversion
• Reduce churn
• Create trust
• Accelerate user success
Marcus makes money. Chatbots save money.
Detailed Feature Comparison
| Capability | 💬 Generic Chatbot | 📱 Intercom | 🧠 Marcus AI |
|---|---|---|---|
| Understanding the User | |||
| Analyzes code, files, logs, screenshots | |||
| Understands user's project constraints | |||
| Technical context awareness | None | Basic | Deep |
| Understanding the Product | |||
| Knows product limitations & edge cases | Shallow | ||
| Trained on internal engineering specs | |||
| Understands pricing logic & tiers | Basic | ||
| Core Capabilities | |||
| Reasoning & problem-solving | |||
| Evaluates product-user fit | |||
| Can say "no" when product isn't right | |||
| Generates implementation code | |||
| Natural voice + text conversations | Text only | ||
| 24/7 availability | |||
| Business Impact | |||
| Approach | Says "yes" to everyone | Says "yes" to everyone | Qualifies rigorously |
| Primary goal | Captures emails | Captures emails | Identifies buyers and helps them buy |
| Demo strategy | Books every demo | Books every demo | Books winnable demos |
| Close rate | 5% | 5% | 25% |
| Focus | Inflates metrics | Inflates metrics | Drives revenue |
| Customization & Deployment | |||
| Adapts to each company's domain | Limited | ||
| One-line embed (like Stripe) | Multi-step | ||
| Setup time | Hours | Days | <5 min |
| Cost per Month | $50+ | $99+ | $99+ |
Real Example: Same Question, Different Responses
Generic Chatbot:
"Here is a link to our SDK docs."
Advanced Chatbot:
"Our API supports Node, Python, and Go."
Marcus:
(after analyzing the user's code)
"Yes. Your project uses Node 18, which is fully compatible. But you must enable WebSocket mode for real-time updates. Here is the exact snippet for your codebase. You need the Pro Tier because of 12k concurrent connections."
↑ This is a solution, not just an answer.