One of two permanent intelligence cores at Aonxi. AROS finds new revenue. ARIA finds capital. Both learn from the same brain. Both compound forever.
$199,000 gross volume collected
$8,000 peak single day
$2.9M ARR velocity (that day annualized)
$0.50 cost per day to run
0 sales reps
40 customers — home care, cleaning, franchise
AROS finds businesses that need new customers, detects real-time signals about their situation, profiles their psychological defense mode, writes a message calibrated to bypass that defense, and sends it.
Autonomously. Every day. At $0.50/day.
Prospect → Signal Detection → ICP Score → PKM Profile → Claude Write → Send
↓ ↓
SerpAPI Gmail SMTP
↓ ↓
hiring? reply tracked
expanding? outcome stored
struggling? pattern learned
↓ ↓
└────────────────── Airtable (the brain) ────────────────────────────┘
No sales team. No CRM workflow. No human in the loop.
Most outreach fails not because the product is wrong. It fails because the message triggers a defense before the person reads the second sentence.
Every prospect is running one of ten defense modes. PKM Analyzer — try it live (free, no key needed).
| Mode | Who | Bypass strategy |
|---|---|---|
| MOTIVE_INFERENCE | VCs, ex-GTM execs | PURE_DATA — open with a number, never "I" |
| TACTIC_RECOGNITION | Repeat founders, serial operators | SIGNAL_HOOK — reference what they did last week |
| OVERLOAD_AVOIDANCE | SMB CEOs, home care owners | ULTRA_SHORT — under 60 words, one ask, one time |
| SOCIAL_PROOF_SKEPTICISM | CTOs, engineers, technical leads | CREDIBILITY_FIRST — exact numbers, public proof only |
| AUTHORITY_DEFERENCE | Directors, mid-level managers | PEER_PROOF — name their peers who already use it |
| LOSS_AVERSION | Risk-aware buyers, regulated industries | COST_OF_INACTION — frame what they lose, not what they gain |
| IDENTITY_THREAT | Self-made founders, proud operators | AMPLIFICATION — amplify their judgment, never replace it |
| TIMING_SKEPTICISM | Perpetually "not ready" buyers | TRIGGER_EVENT — name why now is different |
| COMPLEXITY_FEAR | Non-technical owners burned by software | SIMPLICITY_PROOF — show the one action, hide the rest |
| PRICE_ANCHORING | Budget-constrained buyers, procurement | ROI_INVERSION — cost per outcome, not cost per month |
Before Claude writes a single word, AROS detects the defense mode, bans the phrases that trigger it, and writes using the specific bypass strategy for that specific person.
Before PKM:
"Hi Brian — hope this finds you well. Would love to set up a quick call."
After PKM (OVERLOAD_AVOIDANCE detected — 60-word cap, no fluff):
"Brian — 3 home care agencies in New York added 11 clients last month using Aonxi. You are hiring caregivers right now. 15 minutes Tuesday 10am?"
Same product. Different message. Every time.
Based on Friestad & Wright (1994) — 30 years of persuasion psychology.
Every action AROS takes is recorded in Airtable.
Not just what happened. What worked. What did not. Why.
- What defense mode a home care owner in Arizona was running on a Tuesday morning
- What bypass strategy converted a franchise operator who had been pitched 60 times that week
- What signal — a job posting, a new location, a review spike — preceded a close
This pattern library compounds every day. The agent running today is smarter than last month. The one running next month will be smarter than today.
AROS scoring is trained on 4 months of real Aonxi customer outcomes (October 2025 – January 2026). No synthetic data. No guesses.
| Segment | Customers | Avg LTV | Avg Duration |
|---|---|---|---|
| Retained (4+ months) | 20% | $5,769 | 4.0 months |
| Medium (2-3 months) | 42.5% | $4,910 | 2.5 months |
| Churned (0-1 months) | 37.5% | $1,200 | 0.7 months |
Key finding: Industry fit predicts LTV better than any other variable. Home care and cleaning services stay 4x longer and generate 7x more revenue than off-niche prospects. This finding drives every scoring weight.
aros.py CLI entry point — one command runs the pipeline
scorer.py ICP scoring (trained on real churn data)
harvester.py SerpAPI signal detection (hiring/expanding/struggling)
writer.py Claude Haiku email generation (PKM layer applied)
runner.py Pipeline execution + Gmail SMTP
briefing.py Daily owner email briefing
config.py Environment variable loader
Stack: Claude Haiku / SerpAPI / Gmail SMTP / SQLite / Airtable
git clone https://github.com/originaonxi/aros-agent
cd aros-agent
pip install -r requirements.txt
cp .env.example .env
# Add your keys to .env
python aros.py| Repo | What it does |
|---|---|
| ARIA | Finds capital — the other intelligence core |
| PKM Analyzer | Defense profiling — try it live |
| VISION.md | The full Aonxi vision — AGI revenue layer for 400M businesses |
Built by Anmol Sam — origin@aonxi.com / originaonxi.github.io / aonxi.app