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Work we have shipped, and what clients said

Automation systems and products built by our founder, with screenshots of the real sites. Client systems stay private, so client work is shown through their reviews further down.

Automation

Systems that take a repetitive job and run it end to end.

How Video maker works
  1. 1Script
  2. 2Scene images
  3. 3Text animation
  4. 4Sound
  5. 5Timeline placement
  6. 6Finished video

Video maker

Internal tool

A script goes in and a finished video comes out. The pipeline picks the images, animates the text, adds the sound, and places everything on the timeline without manual editing.

  • Turns a written script into scenes automatically
  • Handles images, text animation, sound, and placement
  • Removes the repetitive editing steps from video production
How CapCut automation works
  1. 1CapCut project
  2. 2Images placed
  3. 3Credits added
  4. 4Animations applied
  5. 5Ready to export

CapCut automation

Internal tool

A Python tool that edits CapCut projects directly. It places the images, adds photo credits, and applies the animations, so the project is assembled without manual dragging and dropping.

  • Writes straight into CapCut project files
  • Places images, photo credits, and animations automatically
  • Built for our own YouTube video production

Built with Python, CapCut

Screenshot of Ask Haseeb AI answering the question: What has Haseeb built?
Live screenshot of ask.haseebsagheer.com

Ask Haseeb AI

Live

A live retrieval-augmented (RAG) assistant that answers questions about our founder's work from his own documents, and says so when the answer is not in them. New files are picked up from Google Drive, split into passages, embedded, and stored in a vector database; every answer is written from the passages it retrieves.

  • Automatic ingestion of PDF, Markdown, and HTML files from Google Drive
  • Token-based chunking (about 350 tokens, with overlap)
  • OpenAI embeddings in Pinecone, LangChain retrieval, FastAPI backend
  • Deployed on a VPS with Gunicorn and Nginx

Built with Python, FastAPI, OpenAI, LangChain, Pinecone

Products

Products designed, built, and shipped from scratch.

Screenshot of the Daily Site Log website showing a construction daily report
Live screenshot of dailysitelog.com

Daily Site Log

Live

Daily report software for construction teams. Designed, built, and shipped as our founder's own SaaS product, from the data model to production deployment.

  • Daily site reports for small contractors
  • Supabase database with a web app deployed on Vercel
  • Continuous deployment from the repository

Built with Supabase, Vercel

Screenshot of the EvenHaus website showing a shared chore chart on a phone
Live screenshot of evenhaus.me

EvenHaus

Early access

A shared chore app for roommates and couples. It rotates the chores, weighs each one by effort, and shows everyone their fair share, so nobody has to keep score.

  • Chores weighted by effort, not just counted
  • Fair-share view for every person in the home
  • Web app, in early access
Screenshot of the DoseAnchor website showing medication reminders and a family alert
Live screenshot of doseanchor.com

DoseAnchor

Closed testing

A medication reminder app for families. A parent gets a gentle reminder, and if a dose is missed the caregiver is alerted, so nobody has to call every morning to ask.

  • Reminders for the person taking the medicine, alerts for the caregiver
  • React Native (Expo) app with a Supabase backend
  • In closed testing on Google Play

Built with React Native, Expo, Supabase

SwitchLess

Building

An Android focus app that limits app usage, runs focus sessions, and interrupts repetitive app switching. Progress is tracked privately on the device.

  • App usage limits and focus sessions
  • On-device, private progress tracking

What clients said

Reviews from clients on Upwork, Fiverr, LinkedIn, and direct projects, published word for word with the platform and date.

“Really solid work from Haseeb. We needed an AI agent that could handle incoming leads, qualify them and push the information into our CRM. He didn't just build the basic workflow, he also added the validation steps we were missing. Took a couple revisions but everything is working properly now.”
Ahmed R.Upwork, October 2026AI lead qualification agent + CRM automation
“Haseeb built an internal AI assistant for our team using our own documentation. The main thing we wanted was reliable answers instead of the usual generic AI responses. The RAG setup is working well and he also showed us how the system was structured so we can maintain it later.”
Sofia K.Direct client, August 2026RAG AI assistant + private knowledge base
“Excellent technical work. We had a complicated workflow involving webhooks, APIs, Python and AI and needed someone who could understand the whole process rather than just one part of it. Haseeb built everything and also helped us clean up some of the logic in our existing automation. Very good communication and delivered what we agreed.”
Jason M.Fiverr, July 2026Python + AI agent + business automation
“I came with a pretty messy automation idea and Haseeb turned it into an actual workflow. We are using n8n, APIs and OpenAI and the whole thing is much easier to manage now. Communication was good and he was quick with the changes I asked for.”
Mark J.Fiverr, September 2026n8n / OpenAI business automation
“We had a repetitive process where someone from our team was manually checking data, classifying it and then sending it to different places. Haseeb automated most of this using Python and AI. There were some problems with one of the APIs during development but he fixed them and documented the workflow.”
Ryan P.Upwork, August 2026AI-powered data processing automation
“Very technical guy and easy to work with. We needed a multi-step agent workflow with API integrations, AI decision making and some fallback logic. Haseeb understood the requirements quickly and built the first version faster than I expected. We made a few changes afterwards and he handled those without any issues.”
Chris D.LinkedIn, July 2026Agentic AI workflow + API integrations
“Really happy with the final result. I needed an AI automation that could take data from different sources, process it with an LLM and then send the results automatically. Haseeb understood the workflow quickly and made a few improvements that I didn't even think about. Very responsive throughout the project.”
Usman A.Fiverr, September 2026LLM automation + API integrations
“Haseeb did exactly what we needed. The project was an AI agent for handling customer enquiries and pulling information from our internal knowledge base. The first version needed some tweaking but he was patient with the feedback and improved the responses a lot. The workflow is now running properly.”
Daniel S.Fiverr, August 2026AI customer-support agent + RAG

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