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AI-Powered Document Processing and Data Extraction Workflow
A workflow automation system that reads PDFs invoices receipts or contracts and converts them into clean structured data. Using AI models for text extraction and classification the system identifies key fields validates them and syncs the results in to google sheets CRMs and internal databases.
The automation eliminates manual data entry, reduces errors, and accelerates back-office operations for finance, operations, and administrative teams.
The network for creativity
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Connect with clients, get discovered, and run your business 100% commission-free
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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!
We explored a pitch deck for an AI-powered smart home concept focused on reducing energy waste through automation.
To help communicate the idea more clearly, we added motion in Jitter to guide the story and make the content easier to follow.
Would love to hear your thoughts on the flow.
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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