AI Agents Conference 2026
as the organisers put it
Join the AI Agents Conference for cutting-edge discussions on AI agents and agentic platforms.
| title | author | length |
|---|---|---|
| Why Enterprises Struggle to Adopt AI | Corporate AI Challenges | Dr. Naveen Sharma | 30m |
Enterprises struggle because implementation details break theory: mobile agents like Google Gemini and WhatsApp chat features leak context, corporate… | ||
| Keynote: Boring Wins in AI Agents 🔥 Hard-Earned Lessons | Rodrigo Díaz Concha | 33m |
Agents are plain software: LLMs are prediction machines, tools are JSON contracts, and context is the only memory that matters — tokens cost money so summarize… | ||
| AI Agents Driving Product Decisions | AI for Product Strategy | Alexandra Tsoy | 28m |
Fintech product work covers global money transfers across 65 sending and ~190 receiving countries and ~50 currencies, and AI agents now digest and prioritize… | ||
| Multi-Modal AI Agents Explained | Open-Vocabulary Alignment | Anupam Rawat | 24m |
Describes an agent architecture that uses a VIT vision encoder, cross‑modal attention and models like CLIP model, DINOv2, BLIP‑2 and Flamingo to enable… | ||
| Single Agent vs Multi-Agent AI | Which One Should You Use? | Swarnim Srivastava | 34m |
Provides a practical rule: use a 2x2 decision matrix (horizon vs complexity) and start with one agent, adding specialists only as tasks become long‑horizon and… | ||
| AI Hallucination Explained 🤯 Why AI Gets Things Wrong | Bharat Rawal | 37m |
Argues hallucination is an intrinsic probabilistic failure mode of LLMs that can be reduced but not eliminated, with experiments running for months across 20+… | ||
| Protect Your Code & IP 🔥 Beyond Vibe Coding | Denzil Wessels | 28m |
Dymium demonstrates Ghost AI, a middleware that intercepts IDE and agent calls, tokenizes sensitive inputs into a token vault and reconstitutes them in… | ||
| Metacognition in AI Agents | Agentic Software Development & SmartDB | John Godel | 38m |
Claims that agentic development adds true metacognition: agents run internal checks of assumptions, keep persistent memories of failures and lessons in Agentic… | ||
| Evaluation Driven Development (EDD) Explained | Pratyusha Duvvuri | 29m |
A practical method that detects the exact failure in a multiagent chatbot where a model upgrade breaks sentiment scoring and triggers P0 escalations by tracing… | ||
| The Best AI Strategy? Don’t Build AI 🤯 Build AI-Ready Software | Pratik Mehta | 36m |
Argues that building AI often hurts more than helps and shows concrete alternatives: a Streamlit dashboard of 10,000 lines that nobody uses gets replaced by a… | ||
| AI Anti-Distillation Arms Race Explained | Oleg Smirnov | 33m |
Defines distillation attacks as large-scale API queries that harvest model chains of thought and cites industry reports claiming 16 million exchanges from… | ||
| The Hard Truth About AI Agents in Production | Rajesh Gupta | 34m |
Demo builds a supply‑chain agent on a laptop that watches a Port of Rotterdam weather delay, analyzes 20 shipments with 14 affected, applies policy tiers… | ||
| From Prompts to AI Agents | Foundry Agent Service Explained | Saravanan Ganesan | 26m |
Explains how Foundry Agent Service runs multiagent systems with managed compute, state, security and a unified tool catalog, reducing build time from months to… | ||
| AI Agent Control Logic with Pattern Matching | Haim Michael | 35m |
Explains how pattern matching reduces orchestration code by using Java pattern matching examples with sealed types, guarded patterns and deconstruction to… | ||
| Build Apps in Minutes 🤯 No Coding Required | Codex Skills Explained | Rohit Gupta | 30m |
Demonstrates building a full Next.js single page app called Agent Card Builder using Codex superpowers installed from a GitHub repo via a skill installer, with… | ||
| Automating XGBoost Hyperparameter Tuning with Agentic AI | Chaitanya Teegala | 27m |
Presents an implemented multi‑agent system that automates XGBoost hyperparameter search with five agents (parameter generator, trainer, evaluator, tracker… | ||
| GraphRAG Explained 🔥 Building Smarter LLMs | Jennifer Reif | 36m |
Built a runnable GraphRAG pipeline that converts PDF blog posts into chunked embeddings, extracts entities, and stores chunks plus relationships in Neo4j Aura… | ||
| Trust in the Age of AI Agents | Building Trustworthy AI | Stephen Gray | 34m |
Maps trust from the paranoia era to a confidence era and now a systemic reckoning, arguing that blind trust in autonomous agents creates real security gaps… | ||
| AI Hallucinations Explained 🤯 Welcome to the Museum | Maria Piterberg | 35m |
Defines hallucinations as gap‑filling pattern matching not fact retrieval, shows concrete failures and mitigations: DALL‑E 3 produces extra or floating hands… | ||
| Vibe Code Your Personal Operating System | AI Productivity with Bethany Crystal | Bethany Crystal | 35m |
Demo uses Claude Code plus an Anthropic API key to turn email, Google Drive, call transcripts (Granola/Otter), and Stripe revenue into a lightweight personal… | ||
| Why Context Lake is Critical for Agentic AI Apps | Pavan Belagatti | 26m |
Argues that a centralized, structured, real‑time repository — a Context Lake — is required for reliable agentic apps, not just RAG or ephemeral context… | ||
| Autonomous Martech Stacks | OpenClaw AI Explained | Daisy Mengxuan Zhang | 28m |
Claims that an agent-native stack turns weeks of campaign setup into hours and runs continuous experiments, using a self-hosted OpenClaw orchestration layer… | ||
| Agentic AI for Engineering Leaders | Strategy & Execution Guide | Prakash Tripathi | 22m |
Explains how retrieval-augmented generation pairs vector DB embeddings and chunked corporate docs so LLMs return domain-precise answers, and how MCP tools… | ||
| Enterprise NLP with BERT | Optimized Text Analysis Framework | Rohit Gupta | 22m |
Enterprise workflow uses pre-trained BERT as a middleware encoder to turn raw text into embeddings, claiming 80–90% overall accuracy and 94% sentiment accuracy… | ||
| The AI-Augmented Organization | Redesigning Work with AI | Rajni Sethi | 29m |
Argues that only 10% or less of organizations use AI in daily workflows and roughly 2% are experimenting with next‑version tools, so change is about… | ||
| Designing Production-Ready AI Agents 🔥 SharpClaw in Action | Rohit Gupta | 49m |
SharpClaw is a cloud platform that builds and deploys production-ready AI agents with 24/7 cloud with auto-restart and analytics, running hundreds of agents in… | ||
| AI Agents in Automation | 3 Real Production Cases with ROI | Nik Grishin | 36m |
Albaita deploys AI agents across HubSpot, Outreach, Gemini, AmpleMarket, Serp API, Gmail, Google Docs, Intercom and Zendesk to automate sales and churn… | ||
| AI-Powered Healthcare CRM | Cognitive Companion Revolution | Ashwin Bajoria | 42m |
Argues that shifting CRMs into a cognitive companion yields five concrete capabilities: predictive management that flags cardiac and glucose risks hours before… | ||
| AI Sales Coaching | Agentic AI Replacing Manual Feedback | Natia Kartvelishvili | 30m |
Early pilots show usage but no measurable business impact—10 beta pilots disengage rather than renew—so focus shifts from saving 15–20% time to generating… | ||
| From Copilot to Autonomous AI Agents | Power Automate Guide | Shiv Sharma | 31m |
Shows how to turn Copilot-style assistants into agents that call Power Automate flows, connect to SharePoint, SQL and Word docs as custom knowledge, and… | ||
| AI-Driven Behavioral Analytics for Real-Time Fraud Prevention | Sharath Reddy Polu | 16m |
Behavioral signatures combine navigation, keystroke dynamics, device fingerprints and transaction sequences into an agentic pipeline that processes 50+ signals… | ||
| Generative AI for Fraud Detection & Claims Analysis | Sulabh Jain | 35m |
Multimodal system combines large language models for document parsing with vision transformers for image forensics, plus GANs/autoencoders to generate… | ||
| AI Procurement Agents | The Future of Intelligent Procurement | Kundan Sharma | 43m |
Claims that agentic AI already reads across fractured ERPs, clusters and auto-merges vendor records overnight, and improves each week with human reason-code… | ||
| The Compute Economy of AI Agents | Asutosh Mourya | 34m |
Agents delegate work to specialist services, creating a real marketplace where routing choices determine costs and winners. Concrete numbers: 28 million active… | ||
| Scaling a Responsible Agentic Workforce | Noelle R | 32m |
Claims that 95% of pilots fail and only 5% succeed, prescribes a four-step AI safety system starting with HAX (human AI experience), and requires explicit role… | ||
| Build an AI Agent in 30 Minutes 🔥 OpenAI Agent Builder | Dmitry Bobolev | 31m |
Builds an AI agent in 30 minutes using OpenAI Agent Builder, loads an App Store transparency PDF into a vector database, wires a classifier node to separate… | ||
| Apps That See 👀 Practical AI Vision for Developers | Frank Boucher | 36m |
Demos show open source apps that process images and video using REA APIs and local models like Gemini 3 4B on a MacBook Pro; repos are shared via QR. Specific… | ||
| AI Agents Conference 2026 - Day 5 | Mahesh Chand, Rohit Gupta, Chaitanya Teegala | 07h 47m |
A fast, practical batch of war stories and demos: a no-code path uses Codex superpowers to scaffold a single‑page “agent card” app in minutes (author reports a… | ||
| MCP in Action: Real-World Use Cases & Design Patterns | Satya Karki | 35m |
MCP (Model Context Protocol) claims to replace one-off integrations by centralizing tool access so ten AI clients reuse a single server instead of ten custom… | ||
| Building Agentic AI Apps with Docker MCP & Cagent | Naga Santhosh Reddy Vootukuri | 39m |
Shows how to run LLMs locally with Docker Model Runner (containerized models exposing REST/gRPC endpoints, single heavy download, uses local GPUs) and how the… | ||
| Building AI Agents in .NET with Azure AI Foundry | Rijwan Ansari | 36m |
Walks through building agents on Azure AI Foundry with .NET 10 and the Azure AI Foundry SDK, using Semantic Kernel for orchestration and a deployed GPT‑4‑mini… | ||
| Building Enterprise AI Agents on Azure | Muhammad Imran Ansari | 15m |
Claims a working recipe to deploy enterprise agents using Azure AI Foundry with model, knowledge and agent-workflow layers, vector RAG, connectors to Azure… | ||
| Real-World Multi-Agent Development | Ship Faster with AI Agents | Joseph by Guadagno | 31m |
Demonstration builds a URL shortener using ASP.NET Core API, Razor Pages front end, SQL Server, Azure deployment and GitHub Actions while orchestrating work… | ||
| AI in Education | How AI Is Transforming Learning | Somya Gupta | 32m |
Claims concrete outcomes: a B2C course platform reaches 3,500 users in four months then pivots to B2B for universities; Duolingo reports 130M MAU, 10.9M paid… | ||
| Production-Grade LLMs & AI Agents | Rajni Singh | 44m |
An LLM system goes from 62% to 95%+ accuracy by layering fixes: prompt tweaks (62→68%), basic RAG (68→71%), fine-tuning (71→74%), semantic chunking (74→82%)… | ||
| AI Agents Conference 2026 - Day 4 | Mahesh Chand, Rajni Sethi, Prakash Tripathi | 07h 57m |
Packed practical notes on adoption and engineering: cultural change needs deliberate rollout with clarity, continuity, consequence not vendor hype, and only… | ||
| Context is King in AI Agents | Hojjat Jafarpour | 37m |
Argues that stateful real-time context — not bigger models — determines agent correctness for fraud, AML, cybersecurity and customer support; recommends… | ||
| How AI Is Turning Developers into Entrepreneurs | Mike Carter | 31m |
AI lowers product-creation costs roughly 87%, speeds launches threefold, and makes MVPs possible for under $1,000, which helps explain why global entrepreneurs… | ||
| AI Agents as Your Co-Developer | Amer Sheeny | 26m |
Agents now take issue descriptions and produce branches, run tests, and open PRs with tools like GitHub Copilot agent mode, Bolt, Replit, and Cursor, and on… | ||
| How Chatty Leads Builds AI Agents Businesses Actually Want | Rohit Bharwani | 39m |
Most web chatbots fail because they either don't understand user intent or can't actually take the requested action. The build here stitches LLM conversation… | ||
| Explore Windows AI Dev Options 🔥 AI Dev Gallery Explained (2026) | Alvin Ashcraft | 33m |
A walkthrough of the AI Dev Gallery shows an open-source Windows app (GitHub + Microsoft Store) built with WinUI and the Windows App SDK that uses local models… | ||
| How Web Apps Are Evolving into AI Agents | Vrijraj Singh | 31m |
Argues web interfaces evolve into autonomous apps by combining retrieval, function-calling and tool access into agent logic and shows a working Node.js agent… | ||
| Prompt Like a Pro & Vibe Code with AI Tools | Shrutika P | 31m |
Shows how prompt engineering plus GitHub Copilot agent mode actually builds and modifies code: prototypes a shopping app (index.html, CSS, app.js, wireframes… | ||
| How AI Agents Will Change Everything (2026) | Ritesh Modi | 30m |
Roadmap of concrete shifts: production success rates jump from 12% to 66% in one year, agents run for hours or days and achieved 12.5M rhymes at 99% accuracy… | ||
| AI Agents Conference 2026 - Day 3 | Mahesh Chand, Sudhindra Desai, Kundan Sharma, Rachel Azafrani | 07h 37m |
Day 3 focuses on production, not hype: procurement agents that read vendor records overnight, auto‑cluster duplicates and auto‑merge with human review (49%… | ||
| AI Agents Conference 2026 - Day 2 | Mahesh Chand, Rijwan Ansari, Muhammad Imran Ansari, Naga Santhosh Reddy Vootukuri, Satya Karki | 07h 25m |
Day shows concrete stacks and working demos: Azure AI Foundry hosts 11,000+ models and a UI for prompt flows; a .NET demo builds a sales agent from CSV and a… | ||
| AI Agents Conference 2026 - Day 1 | Mahesh Chand, Ritesh Modi, Amer Sheeny, Shrutika P, Vrijraj Singh, Joseph by Guadagno | 07h 44m |
Conference day surveys a jump from 66% to 90% production success for end-to-end AI projects and shows concrete wins and hazards: agents run multiagent… | ||
| nothing matches | ||