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AI Bookkeeping Platform — Books That Maintain Themselves🔥
The problem💯
Small business owners don't want to think about bookkeeping. They want to know if the business is healthy, whether they can afford a new hire, and what their tax bill will look like. But getting answers from their books still requires effort, opening the app, navigating menus, running reports, interpreting numbers, and fixing categorization mistakes along the way.
The tools have improved, but the workflow hasn't really changed, users still drive the software.
What I built🙌
- A bookkeeping platform where the AI agent drives the workflow, not the user.
- Instead of opening a dashboard and clicking through menus, users just ask. "How's revenue this month?" "Did I pay the AWS bill yet?" "Categorize the Amazon charge as Supplies and remember it."
- The agent answers in plain language, takes real actions inside the books, creates rules from corrections, and only asks the user when something genuinely needs their input. The interface becomes the conversation.
Outcomes🙌
- Users get answers without learning the app
- Transactions get categorized and corrections become rules
- Receipts auto-match to transactions
- Reports update continuously, available on request
- Bookkeeping shifts from a weekly chore to a quick chat
Stack🧠
Python, GCP, event-driven architecture, LLM tooling, React, TypeScript.
Best fit for👍
Fintech and SMB finance products, bookkeeping services going AI-native,
accounting platforms exploring agent-first interfaces, or any product
where the next product surface is a conversation, not a dashboard.
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KILLBEROS
Risk-First (Educational · Fully simulated)
Measure the danger before the gain.
Most small investors don't lose for lack of ideas they lose for lack of risk discipline: they over-trade, double a losing position, and over-size out of fear or greed. KILLBEROS gives anyone the risk discipline of an investment fund, on a modest $1,000 budget ($500 in play, €500 kept untouchable). 100% educational, fully simulated no real money, no broker, no orders ever placed.
• Risk Planner — real position sizing on any instrument: size, risk, reward-to-risk, computed live.
• The 7 Gates — every trade must pass 7 risk checks; break one (e.g. a reward:risk below 2:1) and it's BLOCKED. The danger is measured first.
• Market Regime — live market "weather" (real Fear & Greed + real crypto prices) decides which strategies are even allowed to play.
• AI Advisor + a mistake "pokédex" — so the same error never repeats.
• Journal — log real trades, see your true edge: win rate, expectancy, drawdown (real backend, not a mockup).
Innovative Workflow)
KILLBEROS was designed and built in Figma Make, then reviewed live and iterated, version after version (V2 -> V43), by an AI agent "Cowork Brain" working through Figma's MCP.
But the real innovation is HOWdecisions were made: every significant choice (doctrine, a risk gate, a strategy, the UI) was debated by a standing panel of 11 AI "voices" that the agent embodies in one head — 5 trader profiles (macro, chartist, a risk/Aladdin voice with veto power, a short-term "gambler", and a long-term allocator) + 5 engineer profiles (backend, UX, API, security, data).
Risk speaks first, the angles are confronted, a decision is made, and the dissenting view is written down. (Junior) signs off on anything irreversible. It's a small AI team with a real method not a single prompt. Build-in-public: every version and decision is journaled.
And After :
KILLBEROS is the educational tip of the iceberg. Behind it, a far more powerful engine the full GambleRisk is in the works: the same risk-first doctrine, but it paper-trades itself for weeks to PROVE its edge, market regime by market regime, before anything else. Still risk-first, still discipline-before-gain. This is just the beginning.
Team : Junior Odika (+ Cowork Brain, AI collaborator).
URL :
Hey Junior, don't forget to share your project on Instagram, X, or LinkedIn with #ConfigMakeathon and @figma to complete your submission! 😊
Check the guidelines and get that in before the deadline!
Everyone's on Day 7 of Config Makeathon. I'm on Day 0 😅
Asked Figma's AI agent to generate a character for my project. I think it understood the brief a little too well.
I think it captured my current mood perfectly 😐🤖
More soon.
lol there's still time!
I’ve been exploring @FLORA these days and this is one of the results.
This 360 spin actually took a bit of experimenting. I first started with static pouch mockups using the front and back designs, hoping that with detailed prompt the tool would simply turn them into a smooth rotation but the result came out rather buggy, with random zooming and awkward movement.
So I changed the approach - I generated the pouch spin separately in Pacdora, added the front and back pouch designs for clearer guidance and kept refining the prompt until it got much closer to what I had in mind. The base static mockup itself also went through Kittl and some Photoshop tweaks before getting here.
It’s still not perfect but I really enjoy testing, combining tools and figuring out how to push AI closer to the kind of product visuals I actually want to create.
Hi! is it everything done by Ai? I mean package design? So my next question how you prepare design for printing after Ai preview? Nice work btw.
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