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How autonomous agents actually work, what is already running in production, and how to start
Short on theory, then most of the time is spent watching the agents work
What an AI agent is, and how it differs from a chatbot
Components, tool use, memory, model routing, platforms
The agent fleet and 27 use cases already in production
Four live demonstrations in front of the room
Security, governance, and how to get started
The difference is not how clever the model is — it is whether the model can act
Users talk to it through ordinary messaging apps; behind that sits a gateway, a runtime, tools — and real connections to real services
An agent keeps cycling until the goal is met — that repetition is what separates it from a chatbot
Two kinds of memory work together — the conversation at hand, and permanent notes
Conversation memory
Long-term memory
The session at hand
The message history of the current session, so the agent understands what has just been discussed without being re-briefed.
Permanent notes
Deliberately stored facts: preferences, working conventions, environment details. They survive across sessions and across days.
Document archive
The archiving agent files every incoming document into a catalogue holding date, category, summary and source.
Working conventions
The main agent remembers house style: colours, fonts, report layout and where files belong.
Measurable history
Every conversation is stored and can be counted — sessions, messages, even tokens per model.
This choice decides cost, speed and confidentiality — so we deliberately use all three
Whatever the brand, the anatomy is the same — a model, tools, memory and a loop
Every tile below is a real artefact from our own machine — screenshots, reports, posters and video
Real excerpts from files on our machine, plus video the agents produced end to end
| Date | Category | File | | 2026-08-31 | Finance - Bank | indihome... | | 2026-09-07 | Finance - Invest| lbs-market..| | 2026-09-08 | Family | child-ac-log| Every incoming document filed with a short summary and its source, then searchable.
ONE-MINUTE SUMMARY Two problems fixable this week, at no cost: 1. Not on Google → nobody searching "siomay Margahayu" finds the shop. 2. GoFood rating 4.5 from 7 reviews, and 3 are complaints — below the 4.7 threshold the algorithm favours.
7-DAY NUMBERS Reach 227 · Views 860 · Likes 53 · Comments 4 Saves 0 · Shares 0 → saves/reach 0.00% Interaction/reach 25.99% (healthy, but nothing feeds distribution) Reach −26% vs the 30-day average, likes +44% → "liked but not shared" keeps widening.
Q: How many Indomaret stores are there, and which province has the most? A: There are 4,133 Indomaret stores. The province with the highest total number of stores is Jawa Barat (1,520 stores). Answered live on the published dashboard by a model running on Cloudflare.
The agent watches the market daily and tells us when something is worth a closer look
The agent has already read a 45-page Islamic finance text and turned its investment standards into a checklist.
The investment framework comes from Ust. Ammi Nur Baits' book on Islamic transactions — real assets, no interest, no uncertainty, no guaranteed returns.
The application is built in Claude Code; our agent is what puts it on the internet
minimarket-indonesia.pages.dev
9,066 minimarket stores mapped across Indonesia.
Answered 200 OK from anywhere in the world.
Hosting cost: zero. Bandwidth: uncapped.
Stays online even when our mini PC is off.
HOW IT RUNS
01 Build in Claude Code, tested locally 02 Prepare files so no server is needed 03 The agent deploys and verifies data loads 04 A public address is handed back to us
FALLBACK PLAN
The application is already published and reachable, so this demonstration does not depend on the office network or on our mini PC being switched on.
The agent writes content from the account's own history, then measures what happened
The agent drafts carousels and reels based on what has actually been shared most from the account.
Health claims are worded carefully so they stay medically safe.
Hand over a sketch on paper; the agent turns it into a finished presentation
An audience member is asked to sketch an idea on paper and photograph it.
The deck you are looking at now was made with exactly this flow.
Four rules we have held since day one — every one of them learned from real experience
Three small steps to try it without disturbing the work already in flight
Questions, an idea for a task you would like to try, or a repeat of any demonstration — let us discuss it now.
You need one machine that can stay switched on — a small computer or a server — plus one language-model account. No special hardware.
