You will get an assistant that answers questions from your own company documents
Top Rated
Project details
Every answer opens the document it came from.
That is the design, not a feature. An assistant that reads your company's own files and answers questions from them in plain language, with a citation you can click through to the source page.
It reads Google Drive, SharePoint, Notion, email threads, PDFs and meeting transcripts. Each file is read once and split into passages, and every passage is held with its source, its date and its permissions. A question pulls back only what is relevant. The answer arrives with the document attached.
Three constraints I hold to. Permissions are respected, so people see answers drawn only from files they could already open. Message bodies can stay inside your systems, and on the top tier the whole thing runs on your own server. And when the answer is not in your documents it says so instead of filling the gap with something plausible, because a confident wrong answer about your own company is worse than no answer at all.
When not to buy this: if your documents are already wrong or badly out of date, this makes bad answers easier to find. Fix the source material first.
Top Rated on Upwork, 100% job success.
That is the design, not a feature. An assistant that reads your company's own files and answers questions from them in plain language, with a citation you can click through to the source page.
It reads Google Drive, SharePoint, Notion, email threads, PDFs and meeting transcripts. Each file is read once and split into passages, and every passage is held with its source, its date and its permissions. A question pulls back only what is relevant. The answer arrives with the document attached.
Three constraints I hold to. Permissions are respected, so people see answers drawn only from files they could already open. Message bodies can stay inside your systems, and on the top tier the whole thing runs on your own server. And when the answer is not in your documents it says so instead of filling the gap with something plausible, because a confident wrong answer about your own company is worse than no answer at all.
When not to buy this: if your documents are already wrong or badly out of date, this makes bad answers easier to find. Fix the source material first.
Top Rated on Upwork, 100% job success.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI-Enhanced Classification, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$700
|
Standard
$1,400
|
Advanced
$2,600
|
|---|---|---|---|
| Delivery Time | 7 days | 12 days | 18 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | ||
Detailed Code Comments | - | ||
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | - | ||
Model Monitoring | - | - | |
Model Testing & Optimization | |||
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$280 - $850
Additional Revision
+$120
One more document source
(+ 3 Days)
+$300
Slack interface added
(+ 2 Days)
+$250
Runs fully on your server
(+ 5 Days)
+$600Frequently asked questions
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CA
Cigdem A.
Mar 2, 2026
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He analyzed our working systems well, so professional. I believe his expertise help us work better. Definitely we will work again
VG
Vanshika G.
Feb 28, 2026
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LV
Lars V.
Nov 22, 2025
Fix Make.com Automation
Very responsive
LV
Lars V.
Nov 22, 2025
Make.com Automation Support
Was able to fix the issue I encountered in my flow. Thank you!
JN
Jenna N.
Apr 29, 2025
Project management dashboard with different views
About Ozan
AI Agent & Automation Engineer | n8n, Make, Zapier, GoHighLevel
100%
Job Success
Varna, Bulgaria - 11:02 am local time
Top-rated on Upwork, 100% job success.
Fifteen years running operations and supply chains before this, so I understand a process before I automate it.
Most of what I do falls into three buckets.
1. Automation systems
Make, n8n, and Zapier pipelines connecting CRMs, spreadsheets, inboxes, and internal tools. When no-code hits its ceiling, I drop into Python, JavaScript, or Google Apps Script. Typical work: AI email triage, document parsing, lead enrichment with Clay, CRM sync, reporting dashboards that update themselves.
2. Web apps and mobile apps
Full-stack builds in Node, React, and PHP with MySQL, MongoDB, or Supabase. Native mobile apps in React Native with Expo. Recent examples: SuppliMatch, a B2B sourcing platform that collects and compares co-packer offers from a single brand request, end-to-end automated. Namedrop, an AI business name generator with live domain availability, social handle checks, and USPTO trademark lookups. Truvex, a React Native app for restaurant shift callouts with phone auth, real-time sync, push and SMS notifications, and Stripe billing.
3. Ops and data tooling
Notion workspaces, Airtable systems, Google Sheets automations, and custom dashboards. Not just setup. Systems that teams actually use.
Some recent work:
• Replaced ~30 hours a week of manual supplier outreach with one Make scenario that sends briefs, parses replies, and updates a sourcing dashboard.
• Built a lead enrichment pipeline that pulls from LinkedIn and open data, scores leads with the OpenAI API, and routes them into HubSpot.
• Shipped Namedrop, checking domain availability across TLDs, USPTO trademark records, and X and TikTok handles in real time.
• Sold 20+ Notion templates used by founders and small ops teams.
Examples of the work, so you can see the shape of it:
- A broken Make, n8n or Zapier automation diagnosed and fixed
- A manual weekly report replaced with a pipeline that runs itself
- GoHighLevel wired to your CRM, sheets and inbox
- A lead enrichment and AI scoring pipeline feeding HubSpot
- An AI agent that reads a shared inbox and turns action items into tasks
- A full audit of a Box, Google Drive or SharePoint with every file mapped
- HubSpot data audited for duplicates, decay and pipeline leaks
- WhatsApp Business automated with replies, routing and CRM sync
- Every mention of a brand found across YouTube, Reddit, GitHub and Discord
- Invoices and documents read automatically into your accounting system
- Zapier workflows rebuilt in Make or n8n with nothing lost
- An assistant that answers questions from your own company documents
- Every CV parsed, scored against the brief and pushed into your ATS
- A monthly bookkeeping close prepared as draft entries for review
- Suppliers found, contacted in their language and tracked to a shortlist
Tools I use day to day:
Automation: Make, n8n, Zapier, Google Apps Script
Languages: JavaScript, TypeScript, Python, PHP, SQL
Frontend: React, HTML, CSS
Backend: Node.js, Express
Databases: Supabase, PostgreSQL, MySQL, MongoDB
Data and docs: Google Sheets, Excel, Airtable, Notion, Clay
AI: OpenAI API, Claude API, document parsing, extraction,
classification, content generation
CRMs and comms: HubSpot, GoHighLevel, Slack, Telegram, WhatsApp, Gmail, Outlook
Payments: Stripe, PayPal
How I work
I write more than I talk. If you prefer to kick off with a call, that is fine, but I will ask for a short written brief first so we both know what we are looking at. I give honest scope estimates, flag risks early, and tell you when something is not worth building.
If you have a manual process you want gone, or a tool you want built, send a message with two or three lines describing it. I will tell you whether I can help, how long it should take, and what it will cost.
Steps for completing your project
After purchasing the project, send requirements so Ozan can start the project.
Delivery time starts when Ozan receives requirements from you.
Ozan works on your project following the steps below.
Revisions may occur after the delivery date.
Agree which sources are in scope and confirm read access
Index every file and store passages with their source and date