DreamAI

22/09/2025

A friend who runs a renovation business told me:
"I probably lose 3-4 potential customers a day just from missed calls. Each one could be a $15k+ project."
That stuck with me. How many service business owners lose revenue simply because they can’t answer the phone 24/7?
So I built an AI agent that handles the entire customer experience through natural voice conversations—no “press 1 for this, press 2 for that.”
It:
✅ Answers calls instantly, anytime
✅ Creates customer profiles & saves details
✅ Books real-time appointments
✅ Handles requests & technical questions
✅ Detects emergencies & escalates
✅ Provides real solutions, not voicemail
My friend’s reaction after seeing the demo: “This would change everything for my business.”
If you’re in HVAC, plumbing, electrical, renovations—or any service business—this could mean your next customer doesn’t slip away.
👉 Check out demo videos + features: https://lnkd.in/dFsJwkf8
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This link will take you to a page that’s not on LinkedIn

11/09/2025

Every AI agent is only as good as the context window you give it. System prompts, instructions, tool definitions and especially messy message history, all shape how an agent thinks.
Instead of letting history overload our LLM, we used history_processors in Pydantic AI to reshape memory for long-running tasks. The results?
✅ Cleaner prompts
✅ Smarter, more reliable agents
✅ Context that scales without breaking
👉 Full breakdown (with code): https://dreamai92.substack.com/p/smart-context-engineering-with-pydantic?r=60c9dp
Source

This is the first blog in series about Context Engineering with Pydantic AI.

04/09/2025

Just published a deep dive on how we built a production-ready, voice-enabled facilities management agent using Google’s Agent Development Kit (ADK). 🎙️🤖
This isn’t just another demo — it’s a real system that:
👉 Handles customer service calls naturally
👉 Books appointments directly into Google Calendar
👉 Detects emergencies & escalates instantly
👉 Orchestrates tools, APIs, and real workflows seamlessly
If you’re curious about where conversational AI is headed (beyond chatbots), this post will give you a hands-on look at AI agents in action.
🔗 Read the full blog here: https://dreamai92.substack.com/p/building-a-voice-enabled-facilities?r=60c9dp

A Deep Dive into Production-Ready Conversational AI

24/08/2023

The Flash docs website offers a smooth Video Classification tutorial using the 'x3d_xs' model from the X3D family. While this model is great for experimentation and inference, larger datasets might benefit from the more accurate 'x3d_m' model. However, switching to this model throws a kernel size error due to the temporal aspect of video inputs. This article delves deep into the source code of the Lightning Flash library to address this issue. By adjusting the 'temporal_sub_sample' from 8 to 16 and following a few customization steps, we can effortlessly utilize the 'x3d_m' model. Dive in to discover a step-by-step guide for the adjustment!


https://medium.com//video-classification-using-pytorch-lightning-flash-and-the-x3d-family-of-models-ec6361969073

17/05/2023

One of the most important references in understanding training paradigms with prompt based few-shot learning.
Paper Link: https://arxiv.org/abs/2107.13586

04/05/2023

Best, concise survey of landscape to date, their and their methods and which ones to use for specific applications.
Link: https://arxiv.org/abs/2304.13712

01/05/2023

Are you tired of manual resume processing that consumes too much time and resources? DreamAI offers a scalable solution for enterprises that streamlines the resume screening process.
Check out our latest case study to learn more: https://dreamai.io/scalable-resume-processing-for-enterprises/

24/04/2023

Ensuring operational safety is critical for the aviation industry.

DreamAI's solution for aviation operational safety leverages cutting-edge technologies and frameworks to provide a comprehensive, reliable, and cost-effective solution.

The solution involves the installation of cameras in critical areas such as runways, taxiways, and aircraft parking areas. These cameras are connected to an AI-powered platform that uses advanced algorithms and computer vision techniques to analyze the real-time video feed.

The platform utilizes a combination of machine learning frameworks such as TensorFlow and OpenCV to detect and classify potential safety hazards. The system also incorporates a cloud-based infrastructure that enables secure and scalable data storage and processing.

DreamAI's solution provides an innovative way to enhance aviation safety and reduce the risk of accidents by leveraging the latest advances in AI, computer vision, and cloud computing technologies
Case Study Link: https://dreamai.io/aviation-operational-safety-using-real-time-video-feed

21/04/2023

Check out our latest breakthrough in obstacle avoidance technology! Our team has been working tirelessly to develop an algorithm that takes safe navigation in dynamic environments to new heights. Our innovative solution enhances navigation systems by breaking barriers with obstacle avoidance. Whether it's in robotics, autonomous driving, or drones, we're ensuring safe and efficient navigation through any environment. Stay tuned for more updates on this groundbreaking technology!

20/04/2023

Exciting news! We're thrilled to share our latest video, on Optical Flow and Human Detection in Action! In this video, we demonstrate the capabilities of our human detection algorithm using optical flow techniques.

For those who may be unfamiliar, optical flow is a powerful computer vision method that analyzes motion in sequences of images or video frames. By tracking the movement of pixels between frames, optical flow can detect the direction and speed of motion.

Our algorithm takes advantage of these techniques to detect and track human motion with impressive accuracy. We're proud of the work our team has put into this project, and we can't wait to see the impact it will have in a variety of fields, from surveillance to robotics.
Email: [email protected]
Link: https://www.youtube.com/watch?v=99A3FyK3l7M