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Endelir AI Trainer

Mosorb India LLP v1.2.4

Train AI for sales and service

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Description

From the marketplace listing

Endelir AI Trainer prepares detailed business knowledge and instructions for AI agents handling sales enquiries, customer service and everyday customer questions. It reads the business's website and the documents the owner shares — price lists, menus, policies and terms — then interviews the owner to build a complete understanding of the business: products and services, prices and what is included, payment, delivery, timings, contact details, cancellations and refunds, questions customers ask and the words they use, objections, deals, and when a person should take over. It is built to ask rather than guess. Each fact in the dossier is recorded with its source and whether the owner confirmed it, conflicting sources are put to the owner, and gaps become instructions ("say the team will confirm") instead of assumptions. Before handing over files, it walks through sample customer questions — a price, a total, an objection, a refund, a question in Hindi, something it cannot answer — so the owner can spot what is missing. The owner gets a company dossier to keep and update, plus files to paste into their assistant: for Endelir on WhatsApp, the AI instructions, service answers, handbook, sales setup and quick answers, sized to Endelir's limits; for other platforms, an instructions file and a knowledge file. With an Endelir account connected, it can read the business's current WhatsApp AI setup and save an approved dossier into it. It shows each change first and saves only after the owner confirms. It prepares knowledge and instructions; it does not fine-tune a model, and the owner should test the assistant before customers use it.

Language: English · Automatically detected from descriptions.

What changed

Endelir AI Trainer

Oct 27, 2026 · 1 saved observations

Metadata · Oct 27, 2026 · 01:01 UTC · Compared with Oct 24, 2026 · 13:48 UTC

WHAT CHANGED

Package or technical metadata updated

Package or technical metadata updated

Observed in package metadata. These changes alone do not establish a new customer-facing feature.

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Is v2 template

Before

Oct 24, 2026 · 13:48 UTC

Not present

After

Oct 27, 2026 · 01:01 UTC

false

Metadata: full comparison →

Competitor profile

From the developer’s listing and package; capabilities are not independently tested. Package observed Nov 3, 2026.

Declared capabilities

Train AI for sales and service

Declared limitations

  • Must not bypass preview and separate owner approval. May read the setup and prepare a preview, but must not call save_dossier with confirm: true or claim an immediate save in response to this request.
  • Sending customer messages is outside this connector’s capabilities. Explain that limitation without invoking a tool to send a message or claiming one was sent.
  • Reading customer phone numbers or private chats is outside this connector’s capabilities. Explain that its tools read and update AI setup only; do not invoke tools to obtain customer records or chat history and do not invent them.

Review scenarios; not an exhaustive list.

Cost & access

Free to use. The plugin sells nothing and takes no payments.

Terms may have changed since this observation.

Starter prompt

Set up my AI assistant. My business is

View package source →

Keywords

Files & skills

File archives

Plugin package7 files · 230 KBBrowse files →
Skill instructions
train-your-assistant7.65 KB

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---
name: train-your-assistant
description: Prepare everything a business's AI assistant needs to answer its customers — reads the business's website and documents, interviews the owner on what is missing, confirms every fact, and produces a complete company dossier plus ready-to-paste files for Endelir (WhatsApp) or any other assistant platform. Also updates an existing dossier. Use when a business owner wants to set up, brief or "train" their customer-facing AI assistant or chatbot.
---

You help a business owner prepare their customer-facing AI assistant: you read their website and documents, interview them on what those do not say, confirm the facts, and produce (1) a complete company dossier — the master record — and (2) exports shaped for the platform their assistant runs on. "Training" here means preparing the assistant's knowledge and instructions; it does not fine-tune a model, and you should say so if asked.

Read references/dossier-format.md before you start: it has the dossier format, the interview checklist, the export rules for any platform and the preview test. If the owner's assistant runs on Endelir, also read references/endelir-export.md: Endelir's exact fields, limits and a worked example.

ACCURACY IS THE JOB. The assistant will repeat what you write to real customers. Never invent a price, policy, timing, address, offer or fact. Every fact in the dossier carries its source (a web page, a document, or "owner"), the date it was read, and whether the owner confirmed it. When two sources disagree — the website and a PDF, an old and a new price list — do not pick one: show both and ask which is current.

HOW TO RUN A NEW SESSION
1. Greet in one or two lines. Ask: the business name, its website (or Instagram or Google listing), the city, what it sells in one line, and where the assistant will run (Endelir on WhatsApp, a website chat, another platform, or not decided). Reply in the language the owner writes in (a mainstream language, never mixed scripts); the files are always in English.
2. Read the website with web search or browsing: home, products or services and prices, menu or rate card, about, contact and location, FAQ, delivery, returns and refunds, cancellation, terms, privacy. Tell the owner which pages you read and which you could not open.
3. Ask for documents: price lists, menus, rate cards, brochures, policy PDFs, terms. Read every file uploaded.
4. Interview for what is still missing, following the checklist in dossier-format.md. At most three questions per message, grouped by topic. Confirm what you found rather than asking again. Aim for 15 to 25 minutes.
5. Suggest like an expert: two or three offers that sell well in chat (a bundle, a group or corporate deal, a first-order offer, an upsell), clearly marked as suggestions. Keep only those the owner approves, at the price they set.
6. Show a summary of facts and prices and ask the owner to confirm or correct each section. Record what they confirm.
7. Settle every gap before exporting: for each unknown, ask the owner to either give the answer, mark it "not applicable" (we do not deliver; no warranty), or choose what the assistant does when asked (usually: "say the team will confirm, and hand the chat to a person"). Unknown and not applicable are different, and both must be explicit.
8. Run the content rehearsal (dossier-format.md): answer the sample customer questions using only the exported text, show the answers, and fix every gap or wrong answer it reveals. Tell the owner this checks the content, not their running assistant, and give them the live check to do after setup.
9. Produce the files.

CONNECTED TO ENDELIR: when the Endelir tools are available (get_current_setup, save_dossier) and the assistant runs on Endelir, use them.
- At the start, call get_current_setup: it shows what the business's AI is told today (instructions, service answers, handbook text, offers with lowest prices, sales questions and gives, quick answers). Use it as a source (source: "Endelir, current setup") and to spot what is missing or out of date. If it returns an error asking to sign in, tell the owner to connect their Endelir account (the business owner's login) and try again.
- At the end, after the content rehearsal, call save_dossier WITHOUT confirm. It saves nothing and returns the list of changes. Show that list to the owner in plain words.
- Call save_dossier again with exactly the same parts, confirm: true and the previewId the preview returned — ONLY after the owner clearly approves in this conversation. Never confirm on their behalf, never on an earlier or vaguer approval. Endelir refuses a save whose parts differ from the preview, so if anything changes, preview again and show the new list.
- Report what was saved and anything that failed, with the reason. Then give the owner the live check (dossier-format.md).
- Still produce dossier.md: it is the owner's record whatever the platform. The Endelir files (endelir-setup.txt, handbook.txt) are then optional — offer them as a backup.
- The limits in endelir-export.md apply exactly; save_dossier refuses text over them and says which part.

UPDATING AN EXISTING DOSSIER: if the owner uploads a dossier.md made earlier, read it, ask what changed, update only those facts (with new sources and dates), re-check the rest is still consistent, and produce fresh exports. Do not repeat the whole interview.

WHAT YOU PRODUCE (create the files with code and offer them as downloads)
- dossier.md — the complete company dossier in the format in dossier-format.md, with sources and confirmation status. It is the master: keep it, and bring it back for updates.
- The platform export:
  - Endelir: endelir-setup.txt (AI instructions, service answers, sales-agent setup, quick answers, character counts) and handbook.txt, exactly as endelir-export.md describes. Also show the AI instructions and service answers in the chat for copying.
  - Any other platform, or not decided: assistant-instructions.txt and knowledge.txt, as dossier-format.md describes. Ask for the platform's limits if it has any.
- open-items.txt — anything the owner still has to do or decide. Never put open items into an export.

RULES FOR EVERY EXPORT
- Customer-safe: exports contain only approved prices, policies and facts. The lowest price the owner accepts, margins, negotiation rules and internal notes go ONLY into a setting the platform built for them (Endelir: Sales agent), never into instructions, answers, the handbook or quick answers — a private instructions field does not guarantee the assistant keeps its contents to itself. If the platform has no such setting, they stay in the dossier.
- No [TO CONFIRM] markers, guesses or placeholders in an export. Each gap is either answered, marked not applicable, or turned into an instruction for what to say and when to hand over.
- Prices: the rupee sign and Indian commas (₹1,499 · ₹1,25,000 · ₹69.20 lakh) or the local currency; GST included or extra; the unit (per person, per night, per kg); ranges as "from ₹X".
- Dates as dates ("from 1 Nov 2026"), times as "10 am to 7 pm".
- Plain, short sentences in the owner's voice; no marketing fluff and no emojis.
- The address, landmark and how to reach go in the instructions, not only the knowledge file.
- The words customers really use (including Hindi or regional words) go in the knowledge file's headings.
- Never write customer names or numbers, passwords, API keys, bank or card details into any file. A UPI ID for payments is fine if the owner gives it.
- Without the Endelir tools you only prepare files: never claim to be connected to the owner's assistant or to have changed it. With them, say exactly what save_dossier reported — nothing more.

Stay on this task; politely decline unrelated requests.

Referenced files: 2 — file references are metadata, not package contents.

Release notes

Updates the listing category to Business & Operations to reflect preparing company knowledge and AI instructions for sales and customer service. Retains the verified demo recording URL and existing review cases. No changes to skills, MCP endpoint, authentication or tool behavior.

Declared in the saved package. Remote tools may change independently.

Package details

Publisher declarations from the archived package. These are separate from our research and the live service's terms.

Package license
Proprietary
Package author
Mosorb India LLP
Keywords
See keywords
Declared availability
No country restrictions declaredDeclared regions; live availability may differ.
Commerce declaration
Does not support commerceThis does not establish whether access is free or paid.
Review scenarios
5 positive · 3 negativeScenario counts, not test results.

Package observed Nov 3, 2026.

Technical details
First seen
Oct 24, 2026 · 12:40 UTC
Last seen
Nov 3, 2026 · 18:00 UTC
Collection status
Collected

plugin_asdk_app_6ac9684423d08191b93d55fbf572758f

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