isupervillain — AI Agents That Do Real Work

isupervillain :: lab

STATUS REPORT
════════════════════════════════════
uptime : 0 days
session : 00:00:00
mode : BUILD >> TALK
agents_active : 1 (MIDAS — in dev)
concepts_queued : 3
markets : CLOSED ○
bullshit_level : 0.00%
════════════════════════════════════

Building AI agents that have actual jobs. 
Right now: one trading copilot (MIDAS) in active development, with three more on the drawing board.
           Nothing shipped yet, but in active build mode.

cat manifesto.txt

001 | MANIFESTO
002 | ────────────────────────────────────────
003 |
004 | Most "AI products" are chatbots with branding.
005 | I care about agents that DO things:
006 |
007 | → Watch market feeds so I don't have to stare at 8 charts
008 | → Flag trade setups before they disappear
009 | → Eventually: monitor livestock sensors, automate ops work
010 | (concept → code → prod — in that order)
011 |
012 | PRIORITIES:
013 |
014 | agentic > scripted
015 | (real autonomy, not if/then flows)
016 |
017 | operators > enterprises
018 | (built for people who ship, not committees)
019 |
020 | shipping > pitching
021 | (code in prod > slides in deck)
022 |
023 | utility > vibes
024 | (does it work > does it look good in a demo)
025 |
026 | EOF

ls -la agents/

AGT-001 :: MIDAS

Status: IN DEVELOPMENT
Role: Day trader's copilot

MIDAS is a research-driven trading agent built to scan, reason about, and act on intraday setups instead of just drawing pretty lines on charts.

Built because staring at TradingView all day is a waste of neurons. Currently running in chunks, frequently breaking, getting better.

Can (so far):

Orchestrate sessions with a central clock, kill_switch, and event bus
Load rule-based screening configs for repeatable setups
Track open positions and session state for post-mortem review

Planned:

Pre-market scan to build a conviction-ranked watchlist
Multi-agent LLM “analyst desk” per ticker (tech, tape, sentiment, etc.)
Decision layer that debates, scores conviction, and chooses LIVE vs ALERT
Execution layer to place trades or fire alerts via APIs / bots

Currently cannot:

Run the full pipeline end-to-end without supervision
Trade fully autonomously with my capital
Safely handle every edge-case session without the kill_switch armed

Known failure modes:

Breaks when orchestration assumptions change
Over-surfacing noisy, low-conviction names from loose screens
Gets weird around odd sessions and broken data

[built with: Python + custom agent stack]

AGT-002 :: DEMETER

Status: CONCEPT — NO CODE YET
Role: Agribusiness / livestock monitoring

Livestock health via sensor data. Inspired by SoundTalks. On the backlog. Nothing written yet.

// TODO: find someone with actual farm sensor data

[no repo]

AGT-003 :: PROMETHEUS

Status: CONCEPT — NO CODE YET
Role: Research intel digester

Parse whitepapers, earnings transcripts, output structured notes. Planned. Not started.

[no repo]

AGT-004 :: HEPHAESTUS

Status: CONCEPT — NO CODE YET
Role: Workflow / ops automation

Standup reports, sprint summaries, GitHub issue linking. Planned. Not started.

[no repo]

tail -f lab.log

cat whoami

OPERATOR PROFILE
════════════════════════════════════

Builder, trader, and farmer. Writes code, works the land, and ships weird useful things.

"Supervillain" = outsider mindset. Not trying to look like a hero brand or an
enterprise product. Building from a farm lab, optimizing for edge and utility
over pitch decks.

Day job: software dev. Side projects: autonomous trading tools, ag-tech
experiments, and workflow automation that actually saves time.

STATS/
agents_in_flight    : 1 (MIDAS)
concepts_in_backlog : 3
core_frameworks     : 1 (custom agent stack)
marketing_budget    : $0
built_in_public     : not yet
trading_hours       : market open → market close (and then some)
farming_hours       : excessive

TODO: ~~sleep more~~ add better failure replay harness

 EOF

cd contact/

$ ls
brief.txt  reach_me.txt

$ cat brief.txt
Traders who want AI that watches markets, not chats about them
Devs building agentic tools who want to compare notes
Anyone with a boring repetitive workflow that should be automated but isn't yet

$ cat reach_me.txt
github -> https://github.com/isupervillain
x      -> https://x.com/ISupervillainHQ
email  -> mailto:contact@isupervillain.com

$ curl isupervillain.com/status
{
  "status": "OPERATIONAL",
  "agents": 1,
  "open_to_collab": true,
  "bullshit": 0
}

█████████████

LAB // BOOT SEQUENCE

> loading agent_framework.py  0%

auto-boot… click or any key to skip

// psst: ↑↑↓↓←→←→ba

cat manifesto.txt

ls -la agents/

▣ AGT-001 :: MIDAS

◉ AGT-002 :: DEMETER

◈ AGT-003 :: PROMETHEUS

◌ AGT-004 :: HEPHAESTUS

tail -f lab.log

cat whoami

cd contact/

AGT-001 :: MIDAS

AGT-002 :: DEMETER

AGT-003 :: PROMETHEUS

AGT-004 :: HEPHAESTUS