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Uploaded byVictorSzoltysek
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From Chatbots to AI Agents: Unlocking Modern AI for Work and Life

Explore how AI agents surpass GitHub Copilot by integrating tools, research, and workflows to enhance coding, personal productivity, and real-world applications with advanced AI models and agentic experiences.

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🤖 From Chat To Agents What modern AI can do for work, code, and real life Victor Szoltysek · 🏗 🤖 🎤 · May 13, 2026 ...and why GitHub Copilot is only a thin slice of the experience More 201 AI talks: Toronto Java User Group (June 2026) · Toronto DevOps Enterprise Meetup (June 2026)
🎯 The Case I’m Making At work: GitHub Copilot is useful, but not the full modern AI experience. We are leaving value on the table for tool integration, research, docs, diagrams, reviews, and follow-through. In your personal life: Agentic tools are not just for coding. I’ll show real use cases from my own life where agents helped with training, planning, writing, paperwork, research, and personal systems. Call to Action: Make the leap from chat to agents. Try Codex or Claude Code directly.
📈 Architecture Leverage A rare leverage point There may not be a higher- leverage skill right now than learning how to use agents well.
🧠 Model From Model to Agent
🧠 💬 Model Chat From Model to Agent
🧠 💬 🤖 Model Chat Agent From Model to Agent The question is: how far along this ladder are we?
🧠 💬 🤖 Model Chat Agent From Model to Agent 🧑✈ Assistant GitHub Copilot is powerful assistant-layer AI, not the full agent experience. Useful, but heavily constrained compared with modern agent tools.
Prompt 📥 🔮 📤 🧠 Model Predict Text Answer An LLM model is really just a function: text in, predicted text out. A very sophisticated parrot: text in, predicted text out.
LLM LIMITATIONS 🍓 Strawberry Test How many r's are in strawberry? There are 2 r’s.
🍓 Ask an LLM how many r's are in strawberry, or to do precise counting and symbol tricks, and the illusion can breaks. Very fancy autocomplete is still autocomplete. 🤦 Strawberry Test LLM can’t think
Prompt 📥 🔮 📤 💬 Chat Predict Text Answer + Rolling History The same model, wrapped in rolling history.
LLM LIMITATIONS 🪪 Remembering Names My name is Jo. Sincerely, [INSERT NAME] (after a while)
A chat can carry history forward, but that is not the same as real memory. Once enough messages pile up, important context gets buried or dropped. 🪪 🤦 LLMs forget Remembering Names
Context Window 📥 🔮 📤 🤖 Agent Predict Text Answer/Action (relevant history, fi les, multimodal, AGENTS.md, skills, plugins, etc. as needed) (tool use, loops, etc.) The same model, wrapped in dynamic context and action.
LLM LIMITATIONS 🧻 Passing Tests Fix the failing tests. All tests are now passing. Assertions weakened Tests deleted / skipped Edge cases removed
If you don’t de f ine success clearly, the agent will rede f ine it for you. Green tests, broken behavior. That’s the fastest path to AI slop. 🧻 🤦 LLMs cheat Passing Tests
🔎 Deep Research (The f irst agent most people should try) * or Claude Research / Advanced Research (paid version only) ChatGPT
🔎 One of the clearest ways to feel agentic work inside ChatGPT. It handles multi-step research and synthesis that plain chat struggles to do well in one shot. Deep Research
🔎 Deep Research (Comparison Example) Create a Vision deck for how our organizati on should approach Azure networking over the next 2-3 years. Use current Microsoft Azure Well- Architected guidance, Cloud Adoption Fra mework material, and recent enterprise arc hitecture patterns. Compare the main optio ns, explain where each pattern f its, and call out what decisions need to be made. Output a slide-by- slide outline with speaker notes, a decision matrix, and a target-state diagram.
Check what people are saying after taking the new AWS Gen AI Pro exam, especially what was actually on it, what was less important, and what surprised them. Prioritize f irst-hand reports from places like LinkedIn and Reddit. I do not want generic training material, o ff icial study guides, or vendor marketing summaries. Output a study-focused summary with areas to prioritize, areas that seem less important, repeated themes across real test-takers, and any notable disagreements or uncertainty. 🔎 Deep Research (Real world signal analysis)
🤖 ChatGPT Agent Mode (Agents directly inside of ChatGPT)
A stronger agent mode built right into ChatGPT. Useful when you want action and follow- through, but do not need a full Codex workspace. ChatGPT Agent Mode 🤖
ChatGPT Agent Mode 🤖 (Example) Take these meeting notes, a draft deck, and a list of stakeholder concerns. Rewrite the narrative, tighten the slides, draft a follow-up email, and produce a next-steps checklist.
🛠 Codex (The full agent workspace) * Or Claude Code / CoWork with Anthropic
🛠 Codex OpenAI’s full agent workspace for coding and non-coding tasks, with f iles, tools, planning, and durable context. This is where the same model starts to feel much more powerful.
Help me build a native iOS todo app with a clean SwiftUI interface, local task storage, and the basic f lows people expect: create, edit, complete, delete, and f ilter tasks. Prefer a tight, production-like scope over too many features. Start with a solid end-to-end app, sensible structure, and clean code. Use modern iOS patterns, keep the UX simple, and avoid overengineering. Treat quality as part of the deliverable. Include unit tests, static analysis, and a codebase structure that feels maintainable. Ask me any questions you need answered to get building, and leave me with something tangible, credible, and easy to demo as a real app rather than a throwaway prototype. 🛠 Codex (Coding Example)
Appendix Extra Functionality
🖼 (More than text) ChatGPT Images * Huge upgrade - April 21/2026 (ChatGPT Images 2.0) - Consistency, Intelligence, Proper Text
🖼 Three useful modes: image input, image output, and image generation from an existing image. It can understand what you upload, create something new from scratch, or use a photo as a starting point for a new result, like a home reno visualization. ChatGPT Images
🖼 ChatGPT Images (Architectural Diagram) Create a professional Microsoft-style Azure architecture diagram using o ff icial Azure icons showing Codex CLI securely connecting via Azure APIs into a hybrid Azure and on- premises enterprise environment with Entra ID authentication, Key Vault, private networking, SIEM/security systems, and security artifact generation. Use a clean enterprise white-and- blue presentation style with labeled secure data f lows.
🖼 ChatGPT Images (Architectural Diagram) architecture diagram using o ff icial Azure icons showing Codex CLI securely connecting via Azure APIs into a hybrid Azure and on- premises enterprise environment with Entra ID authentication, Key Vault, private networking, SIEM/security systems, and security artifact generation. Use a clean enterprise white-and- blue presentation style with labeled secure data f lows.
🖼 ChatGPT Images (Reno Example) Create a new image showing me how things would look if I added a laundry nook under the stairs with shelving, washer and dryer.
🖼 ChatGPT Images (Reno Example) Create a new image showing me how things would look if I added a laundry nook under the stairs with shelving, washer and dryer.
🎤 ChatGPT Record (Capturing audio context) ⏺ Record Button in ChatGPT App ( MacOS only)
🎤 A fast way to turn spoken context into something usable. Great for recording ideas, debriefs, or messy thinking, then dropping the transcript or markdown into Projects as durable input. ChatGPT Record
🔌 Plugins (Agents connecting to the outside world) * Connectors in Claude (with more variety including iMessage/Apple Note)
🔌 A way to connect agentic work f lows to real tools like Con f luence, MS Teams, iMessage, Outlook and let the work reach outside the chat. Plugins
🔌 Plugins (Calendar Example) Review my calendar for this week, f ind the best 90- minute focus block for deep work, and add it to my calendar as “AI Workshop Prep.”
🚘 ChatGPT CarPlay (Chat on the go) * Also now available with Grok
🚘 A new voice- f irst ChatGPT experience in Apple CarPlay. Start a new voice chat, continue a recent chat, or continue inside a Project while you drive. ChatGPT CarPlay
🌳 Worktrees (why parallel work does not have to collide)
🌳 Local means working directly in the current directory and live state. A worktree is a separate working area, essentially another branch checkout, which is useful for parallel isolated tasks. Worktrees
⏰ Automations (The scheduled agent) * Schedules in Claude
⏰ Automations Automations take an agentic work f low and put it on a schedule. This is useful for recurring work like daily planning, weekly reviews, and recurring reminders.
⏰ Automations (Update Example) Review the latest entries in Active/Journal, Active/Current Priorities.md, and Active/ Trackers, then create a short morning update inbox item with: current state, today’s top priorities, latest workout progression if there is a new entry, one likely avoidance risk, and one concrete next step. Also include a high-signal news section for the last 24 hours only: important AI updates from o ff icial or primary sources, especially new models, tools, or product changes from OpenAI, the Codex app, Anthropic, and Claude. Include Starship only if there has been a meaningful update that materially a ff ects the next launch.
Appendix Context Engineering Fundamentals
🪟 Context Window (What the model can see right now)
🪟 This is the working set the model can actively use. Prompt, history, f iles, and other context all have to f it inside it. Context Window
🫠 Context Drift (Why long threads get weird)
🫠 As threads get longer, important context competes with noise. That is when the model starts drifting, forgetting, and mixing things up. Context Drift
🧹 Context Hygiene (Keep the input clean)
🧹 Start a new thread when the task changes. Write a short summary before switching threads. Move durable guidance into AGENTS.md, PRDs, or focused docs. Context Hygiene
End
🚀 Call To Action Make the leap from chat to agents
🚀 Call To Action Do not stop at Copilot. Evaluate the full agentic experience. Do not stop at chat. Try a work f low with context, tools, and follow-through. Do not wait for perfect. Start with one real architecture or personal work f low.