LLM-Powered RTC Chat Agent · Multilingual Written Support · CRM Dashboard Visibility
WebsDocs RTC Chat Agent gives your website a structured real-time chat layer for visitor questions, service guidance, inquiry routing, support direction, and next-step help. It works from approved business knowledge, profile rules, FAQs, pricing notes, fallback logic, and support paths instead of loose generic chatbot answers.
This is not an old scripted chatbot tree or a hidden chat bubble. The RTC Chat Agent uses controlled LLM reasoning inside your business context, with domain-bound setup, CRM dashboard visibility, prepaid usage credits, RAG-ready knowledge direction, support-ticket flow, and multilingual written-chat planning where supported.
RTC Chat answers with business context, support rules, usage control, and routing logic.
Prepared Setup Timeline
WebsDocs RTC Chat Agent setup is fastest when the required business information is ready to paste in the correct format. Free setup needs only thin starter details. Paid plans need deeper business, service, FAQ, support, handoff, and workflow information according to the selected plan.
Prepared details remove the slow part. Once the required information is ready to paste, the setup can move from profile form to Agent creation, install snippet, local profile file, and immediate CRM Dashboard access.
The free RTC starter is light. Paid activation depends on checkout confirmation and how ready the business information is. After the Agent profile is created, CRM Dashboard access is generated immediately with the setup record.
Free setup needs name, website URL, and email. Paid plans need better formatted information: services, FAQs, contact direction, support limits, lead rules, handoff instructions, and approved business knowledge for the LLM-powered Agent.
The free RTC Chat Agent path can start quickly with basic details. When the required fields are ready, the starter path can be created in about 1 minute and returns setup direction without card details.
For paid RTC Chat Agent plans, checkout confirms the selected setup and care path. After payment confirmation, the activation email is sent through the automated path with the code needed to create the paid Agent profile.
The activation code connects the payment record with the correct setup path. The client pastes the prepared business details into the required profile form and generates the managed LLM-powered RTC Chat Agent.
After the Agent profile is created, WebsDocs generates the domain-bound install
direction and local profile output such as company-profile.json, so
the website Agent has structured business context for controlled LLM reasoning.
Once the RTC Chat Agent is created, CRM Dashboard access is generated immediately with setup records, activity visibility, conversation review, usage signals, credit direction, and support status.
LLM-Powered RTC Chat Agent · Multilingual Website Support · CRM Dashboard · Client Portal
The RTC Chat Agent uses controlled LLM reasoning with approved business information, service details, FAQs, pricing notes, support paths, tone rules, fallback logic, and routing rules before it answers visitor questions.
Start with a free, domain-bound RTC Chat Agent for evaluation. The install snippet is tied to the registered website, with starter limits for daily and lifetime conversations.
RTC Chat can be planned for supported written-language conversations such as English, Spanish, French, Dutch, Japanese, Korean, Chinese, Arabic, Hindi, Malay, Indonesian, and other available languages depending on model capability and setup rules.
The Agent can guide visitors toward setup inquiries, service questions, technical help, activation issues, dashboard support, billing questions, or a structured support ticket when human follow-up is needed.
Use managed plans, paid activation, CRM dashboard access, prepaid AI credits, profile updates, and custom setup when your website needs stronger knowledge coverage, support visibility, usage control, and ongoing improvement.
WebsDocs AI Credits keep live LLM usage controlled. The dashboard can help review usage position, setup records, profile details, support signals, and when a top-up or support review may be needed.
Try the sandbox to review the answer style, multilingual written-chat behavior where supported, inquiry flow, routing behavior, CRM direction, usage visibility, and support path before choosing a paid plan or using the Plan Finder.
Start a website-style chat conversation and preview how the Agent handles visitor questions, setup inquiries, managed plans, multilingual written-chat behavior where supported, CRM dashboard direction, usage visibility, and support routing before choosing a paid setup. The sandbox shows controlled LLM reasoning inside WebsDocs business context, not an old scripted chatbot path.
Open the focused RTC Chat Sandbox and test how the Agent handles real visitor questions, approved-knowledge answers, controlled LLM reasoning, support direction, managed setup inquiries, multilingual written-chat behavior where supported, usage visibility, and next-step guidance.
This RTC Chat Sandbox is a controlled preview of the WebsDocs LLM-powered RTC Chat Agent experience. It is designed to show guided website support, inquiry handling, plan direction, multilingual written-chat behavior where supported, CRM direction, usage visibility, and support-ticket routing before a full setup is selected.
LLM-Powered RTC Chat Agent Plans
Choose a WebsDocs RTC Chat Agent plan, complete checkout, and receive the paid activation path. Your setup starts with a paid activation code, then the client adds company details, website domain, services, FAQs, support rules, routing preferences, handoff direction, and approved knowledge to generate the Agent profile, install snippet, CRM Dashboard access, and company-profile.json.
Setup and care cover the managed implementation, profile structure, dashboard path, support routing, usage visibility, and ongoing improvement. Live LLM/provider usage is handled separately through prepaid WebsDocs AI Credits so every Agent runs with clear usage control and no surprise provider costs.
Regular · Pro · Premium · Elite
First payment includes the setup fee, the selected care cycle, and a starter AI Credit balance for launch. Monthly care renews monthly. Annual care renews yearly and includes 2 months free. LLM/provider usage after the starter balance is prepaid separately and depends on real Agent activity, model usage, and conversation volume.
Plan Finder
Move the usage bar and answer a few quick signals. The finder recommends Regular, Pro, Premium, or Elite based on workload, profile depth, support flow, dashboard visibility, expected LLM context needs, and how much care the Agent may need after launch. The usage estimate helps you understand how many prepaid AI Credits may be needed for live LLM-powered conversations.
Estimate assumes a standard AI conversation uses 10 AI Credits and covers up to 2,000 total tokens. Longer or heavier conversations may use additional 2,000-token blocks.
Best for quieter websites that need a paid assistant foundation, dashboard access, support direction, and light care after launch.
Based on light workload, simple profile depth, and basic support direction.
After the Premium starter balance, suggested top-up: Enterprise Pack or custom usage review for higher-volume AI activity.
AI Credits are prepaid. If balance becomes low, the dashboard can warn the client. If balance reaches zero, live AI answers may pause until credits are topped up.
Agent role
Profile depth
Support flow
Business complexity
These details are used to create your WebsDocs AI Business Agent access after payment.
Use the website where the AI Business Agent will be installed.
Paid RTC setup with light care
Start with a clean paid LLM-powered RTC Chat Agent foundation.
First payment includes $1,800 setup, first monthly care payment, and starter AI Credits.
Regular is for smaller or quieter websites that need a paid RTC Chat Agent with domain-bound setup, approved business profile, install snippet, CRM Dashboard access, and support-ticket direction.
Includes
Stronger inquiry flow and active care
Give visitors clearer service guidance, inquiry routing, and next steps.
First payment includes $2,400 setup, first monthly care payment, and starter AI Credits.
Pro is for active business websites that need stronger LLM-powered RTC Chat structure, broader FAQ coverage, better inquiry handling, support direction, and more useful dashboard visibility.
Everything in Regular, plus
Deeper profile, routing, and support care
Prepare the Agent for serious daily inquiries, sales support, and review flow.
First payment includes $3,200 setup, first monthly care payment, and starter AI Credits.
Premium is for websites where the RTC Chat Agent becomes part of daily inquiry handling, support routing, service guidance, dashboard review, and managed improvement.
Everything in Pro, plus
Deepest profile-based RTC Agent path
Build the strongest profile, dashboard, support, and escalation layer.
First payment includes $4,800 setup, first monthly care payment, and starter AI Credits.
Elite is for larger, busier, or high-value websites that need deeper profile structure, stronger workflow rules, escalation direction, support-ticket logic, dashboard visibility, and priority care.
Everything in Premium, plus
Prepaid AI Usage Credits
WebsDocs AI Credits are prepaid usage units for live LLM-powered RTC Chat Agent responses. Setup and care do not include unlimited AI or provider usage. This keeps pricing fair, protects the client from surprise provider costs, and helps WebsDocs operate the Agent responsibly.
A standard AI conversation uses 10 AI Credits and covers up to 2,000 total tokens, including visitor input, approved business context, routing instructions, safety rules, and AI output. Longer, heavier, or deeper-context conversations may use additional 2,000-token blocks.
AI Credits work like a prepaid meter. When the Agent has enough balance, it can answer live visitor questions using the approved business profile, support rules, routing instructions, and selected AI provider. When the balance becomes low, the dashboard or support path can warn the client before usage stops.
If the balance reaches zero, the Agent may pause live AI answers, limit responses, or show a non-AI fallback such as contact, support ticket, or top-up instructions. This prevents uncontrolled provider bills and keeps usage fair for both the client and WebsDocs.
Usage may vary based on visitor message length, business context size, model choice, retrieval or RAG usage, safety instructions, plan-aware context depth, and the length of the AI answer.
Checkout confirms the selected RTC Chat Agent plan and care cycle. The payment record is saved for billing review, then WebsDocs creates a paid activation code and sends the activation path to the client and WebsDocs.
Activation is completed by the client because the Agent needs real company information: website domain, business name, Agent name, services, FAQs, support rules, routing preferences, handoff direction, and approved knowledge. After activation, the system generates the Agent profile, install snippet, CRM Dashboard details, company-profile.json, and starter AI Credit balance for launch.
Open activation page Manage AI Credits AI payment & refund rules View AI usage credits
Paid setup moves fastest when checkout, email, plan, domain, and prepared business details are correct. After payment confirmation, the activation path can move quickly from code to profile, install snippet, company-profile.json, and CRM Dashboard access.
Support tickets are used for activation issues, dashboard access, billing or usage questions, AI Credit top-ups, widget behavior, integration help, email delivery, and technical troubleshooting.
Website-First LLM Agent Advantage
WebsDocs RTC Chat Agent gives business websites a practical way to launch an LLM-powered support layer, connect it to approved business information, route visitors toward the right next step, keep support traceable, and review Agent activity through CRM Dashboard visibility. It is built for structured business handling, not a hidden chatbot mask.
Checkout and activation can move quickly when plan, email, payment, domain, and prepared business details are ready.
Each paid plan can trigger an activation code so the client can create the RTC Chat Agent with the correct paid setup path.
The Agent is created from real company details, services, FAQs, support rules, tone, handoff direction, and website information.
Activation prepares the domain-bound snippet and profile output needed to connect the website to the RTC Chat Agent runtime.
Clients can review Agent records, setup details, conversations, usage signals, credit position, plan direction, and support status.
Activation, dashboard, billing, usage, widget, email, integration, and technical issues move into traceable support tickets.
Clients can reopen support using Ticket ID, email, and access code to review replies, updates, and support progress.
Monthly or annual care supports profile updates, tuning, routing review, support direction, and ongoing improvement.
LLM/provider usage stays separate and prepaid so pricing follows real activity instead of hiding consumption inside vague plans.
The Agent uses LLM reasoning inside approved profile data, service rules, support paths, fallback behavior, and business facts.
Premium and Elite paths can prepare approved knowledge notes, important pages, support context, service gaps, and routing direction.
Visitors can be guided toward a service, page, inquiry, quote request, booking direction, support ticket, or human review path.
Billing, activation, account-specific, sensitive, uncertain, or out-of-scope issues can move toward support review.
Regular, Pro, Premium, and Elite unlock different profile depth, care level, context carrying, and workflow fields.
Higher plans can include workflow rules, escalation rules, operations notes, routing logic, and stronger support ownership.
Paid-code creation, setup events, support updates, and operational notices can move through client and internal email paths.
Checkout records preserve payment, plan, invoice, activation, and billing context for support review and admin tracing.
Admin review can connect tickets, site identity, billing state, usage pressure, dashboard records, and Agent setup data.
Supported Agent, dashboard, support, and client portal systems follow EU-region hosting direction where applicable.
One plan choice starts setup, activation, care cycle, dashboard visibility, support direction, and usage-aware operation.
WebsDocs gives businesses one controlled LLM-powered RTC Chat Agent path: setup payment, care cycle, paid activation, profile-based context, CRM Dashboard visibility, support-ticket logic, RAG-ready knowledge direction, and usage-aware operation in one clearer flow.
Activation Handoff
WebsDocs does not auto-create a paid Agent from payment alone. After checkout, the paid activation code connects the selected plan with the setup form. The Agent becomes useful when the client adds prepared business details, website domain, services, FAQs, support rules, handoff direction, and approved knowledge for controlled LLM-powered RTC Chat.
Checkout records the selected RTC Chat Agent plan, billing cycle, client email, payment reference, and setup direction for billing review and activation tracking.
After payment confirmation, the activation code is sent through the email and event flow. The code is used on the paid activation page to create the Agent profile for the approved domain.
Prepare the business name, website URL, services, FAQs, contact path, pricing notes, support limits, tone, fallback message, and handoff direction before activation.
After the Agent profile is created, the system returns the install snippet, company-profile.json, CRM Dashboard details, setup records, usage direction, and support path.
Fastest path: complete checkout, open the activation email, and paste prepared business details into the activation form. Payment can create the code quickly; the LLM-powered RTC Chat Agent becomes useful when the profile information is complete and accurate.
RTC Profile Source
When the RTC Chat Agent is activated, WebsDocs prepares a profile-based setup for the approved website. The generated install path can include the website snippet and a company-profile.json file so the Agent has a clear business source for identity, services, FAQs, routing rules, support direction, fallback behavior, and approved context.
The Agent is shaped around a structured company profile that defines the business name, website domain, services, Agent role, tone, FAQs, contact routes, support behavior, and approved boundaries for LLM-powered answers.
The generated profile can be placed as a company-profile.json file inside the website data folder, giving the Agent a stable local source to read before falling back to stored setup records where supported.
WebsDocs can also keep profile records in the backend setup layer, so dashboard access, activation records, usage visibility, and Agent configuration remain traceable when support or review is needed.
The profile can include contact paths, support-ticket direction, fallback messages, service boundaries, pricing notes, handoff rules, and escalation direction so the Agent knows when to answer, guide, route, or escalate.
Best practice: keep the company profile updated when services, FAQs, pricing notes, contact routes, policies, support rules, or handoff instructions change. A clean profile gives the LLM-powered RTC Chat Agent a stronger base for answers, routing, dashboard visibility, and support review.
Context Orchestration
WebsDocs RTC Chat Agent uses Context Orchestration to guide LLM-powered replies through approved business knowledge, website context, service rules, inquiry paths, support-ticket routing, fallback behavior, and safer next-step control. The result is an Agent that does more than chat: it helps visitors move through the right business flow while staying inside the approved setup.
The Agent starts from the prepared business profile: services, FAQs, policies, pricing notes, support rules, contact routes, approved public-facing source material, and fallback direction. This gives every answer a stable business foundation before broader LLM reasoning is used.
The Agent can follow the website’s pages, sitemap direction, important routes, excluded areas, service categories, and public content structure. This keeps answers aligned with the business environment instead of drifting into generic chatbot replies.
Context Orchestration connects visitor language with the right business meaning: services, aliases, page routes, lead triggers, support paths, priorities, and calls to action. The Agent can then answer clearly and guide the visitor toward the right action.
When a visitor needs a broader explanation, the LLM can expand the response while still carrying the approved business profile, service boundaries, tone, routing structure, support rules, and behavior limits. This gives flexibility without turning the Agent into an uncontrolled answer box.
If a question needs account review, billing help, activation support, private details, legal or sensitive judgment, or a safer answer boundary, the Agent can route the visitor to support tickets, contact paths, booking direction, or human review instead of forcing a risky response.
Context Orchestration turns the RTC Chat Agent into a controlled LLM support layer: knowledge, website context, routing, AI expansion, CRM visibility, support-ticket paths, usage awareness, and fallback behavior work together so visitors receive clearer answers and better direction.
In practice, the Agent can shift between structured business guidance, website-aligned support, live LLM flexibility, and controlled handoff depending on the question. That is what makes it more useful than a loose chatbot and lighter than a heavy enterprise support suite.
Guided Support
The RTC Chat Agent works as a guided LLM-powered support layer for websites that need more than open-ended chat. It helps visitors understand services, compare next steps, reach the right information, and move toward contact, booking, inquiry, or support using the website’s real business structure.
Help visitors ask practical questions and receive responses shaped by approved services, FAQs, policies, pricing notes, and support direction instead of loose generic answers.
Guide users who are unsure what the business offers, which service fits their situation, or what details they should review before making contact.
Move visitors toward the right action more smoothly, whether that means reading a page, requesting a quote, booking a call, submitting an inquiry, or contacting the business.
Keep support interaction stable by combining business profile data, approved knowledge, routing logic, fallback behavior, and human handoff when the Agent should not decide alone.
This makes the RTC Chat Agent useful for professional websites that need structured guidance, clearer support interaction, and stronger visitor flow rather than unbounded conversation by itself.
RAG-ready Knowledge
The RTC Chat Agent can work from approved business content, service details, FAQs, policies, important pages, indexed terms, and selected support material. This creates a RAG-ready knowledge direction: business information is organized so the Agent can retrieve, explain, and route answers with stronger grounding.
Responses can be shaped around the content connected to the website experience: services, FAQs, pricing notes, policies, help content, business explanations, important pages, and prepared visitor-facing support material.
Knowledge access becomes stronger when the system understands business language. Visitor words can be mapped to the right service, page, topic, route, or explanation before the Agent generates a response.
The Agent can clarify likely answer paths, explain relevant services, suggest the right page, route visitors toward contact, booking, inquiry, or support, and reduce confusion during service discovery or support navigation.
The Agent can stay focused on approved public-facing knowledge while deeper rules, permissions, internal access, usage boundaries, and deployment conditions remain controlled separately through setup, policy, or managed configuration.
In most cases, this should be understood as guided access to approved business knowledge: the Agent helps visitors understand services, policies, support paths, and relevant pages. More advanced source handling, private knowledge, document RAG, permissions, and custom workflows can be planned separately where the project requires deeper implementation.
EU Data Hosting
WebsDocs positions supported AI, CRM dashboard, client portal, billing, and support-ticket systems around EU-region data storage in Ireland where applicable. This gives business clients a clearer privacy direction for AI-enabled website support, dashboard visibility, and managed agent operations.
Supported WebsDocs AI and dashboard records are structured around EU-region data storage in Ireland where the WebsDocs managed environment applies.
The system is designed around GDPR-compliant hosting direction, privacy-aware handling, controlled access, and practical records for support and dashboard workflows.
Agent installs are connected to approved website domains, site records, and access rules so snippets are not treated as open public keys for unrelated websites.
Support tickets, CRM dashboard visibility, usage records, and billing traces can help WebsDocs review account-specific issues with clearer operational context.
Privacy, usage, and hosting details may depend on the selected setup, provider arrangement, connected services, and project scope. For full conditions, review the Privacy Policy, Terms, and any project-specific agreement.
Next Step
Begin with the Free RTC Chat Agent if you want to test the experience first, open the RTC Chat Sandbox to preview controlled LLM-powered website support, or use the Plan Finder to choose the right managed setup for your website traffic, support flow, dashboard needs, profile depth, and AI usage level.
Paid plans continue through secure checkout, activation-code setup, approved business profile, domain-bound install snippet, CRM Dashboard access, prepaid AI Credits, usage visibility, and support-ticket direction.
