Real loyihalar

Nazariyani amaliyotga aylantirish vaqti. Quyida Hermes orqali qurilishi mumkin bo‘lgan 6 ta real loyiha. Har biri oldingi bo‘limlardagi qismlarni (memory, tools, loop, channels) birlashtiradi.

Loyiha 1: Daily Briefing Autopilot Bot

Har kuni ertalab soat 08:00 da Gmail, Google Calendar, Slack va AI trendlarini o‘qib, qisqartirilgan hisobot yuboradigan tizim.

Har kuni ertalab 08:00 da mening Telegram botimga Daily Morning Briefing yuboradigan
Cron Job yarat.
Asboblar ruxsati:
- Google Calendar MCP: bugungi uchrashuvlarni olish.
- Gmail Composio API: oxirgi 24 soatdagi muhim xatlarni saralash.
- Slack API: jamoa muloqotidagi muhim mavzularni tahlil qilish.
- Twitter Browser Tool: bugungi AI trendlari va yangiliklarini o‘qish.
Eslatma: menga shunchaki xat daryosini yuborma — faqat bugungi actionable qadamlarni jo‘nat.

Loyiha 2: Premium animatsiyali Landing Page

Bitta /goal buyrug‘i bilan raqobatchilarni tahlil qilib, animatsiyali sayt tuzish va xostingga yuklash.

/goal build a premium animated dark-themed HTML landing page for an AI Automations agency.
Workflow Steps:
1. Use Firecrawl CLI to scrape and analyze the top 3 AI Agency websites.
2. Use Hicksfield CLI to generate dark, minimalist tech illustrations and SVG vectors.
3. Write clean, responsive single-file index.html with CSS animations.
4. Deploy the completed assets using here.now CLI and provide the live link.

Loyiha 3: Ko‘chmas mulk uchun Virtual Staging skreperi

Bo‘sh uylar ro‘yxatini aniqlab, Hicksfield AI orqali mebelli 3D dizaynlar yasab beruvchi agent uchun skraper.

# -*- coding: utf-8 -*-
import os
import requests
from bs4 import BeautifulSoup
import json

def scrape_renthop_listings():
    url = "https://www.renthop.com/nyc/apartments"
    headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64)"}

    response = requests.get(url, headers=headers)
    if response.status_code != 200:
        print(f"Xatolik yuz berdi: {response.status_code}")
        return []

    soup = BeautifulSoup(response.text, 'html.parser')
    properties = []

    listings = soup.find_all('div', class_='search-info')[:5]
    for listing in listings:
        title_element = listing.find('a', class_='listing-title-link')
        if title_element:
            title = title_element.text.strip()
            link = "https://www.renthop.com" + title_element['href']
            price_element = listing.find('span', class_='price')
            price = price_element.text.strip() if price_element else "Noma'lum"
            properties.append({
                "title": title, "link": link,
                "price": price, "needs_staging": True
            })
    return properties

if __name__ == "__main__":
    data = scrape_renthop_listings()
    with open('/workspace/scratch/properties.json', 'w', encoding='utf-8') as f:
        json.dump(data, f, ensure_ascii=False, indent=4)
    print(f"Muvaffaqiyatli: {len(data)} ta topildi.")

Workflow: Hermes ushbu skriptni terminalda ishga tushiradi, bo‘sh kvartira rasmlarini Hicksfield AI ga yuborib virtual staging qiladi, so‘ng realtorga avtomatik sovuq xat (cold outreach) yuboradi.

Loyiha 4: Content Octopus (YouTube repurposing)

Uzun YouTube videosidan bitta buyruq orqali Reels, X threads va blog-postlar yaratuvchi tizim.

# -*- coding: utf-8 -*-
import subprocess, os

def remove_silence_and_retakes(input_video, output_video):
    if not os.path.exists(input_video):
        print(f"Xatolik: {input_video} topilmadi.")
        return False
    # Jimliklarni aniqlash
    subprocess.run([
        "ffmpeg", "-y", "-i", input_video,
        "-vf", "silencedetect=noise=-30dB:d=0.5,metadata=print:file=/workspace/scratch/silence.txt",
        "-f", "null", "-"
    ])
    # Jimliklarni kesish
    subprocess.run([
        "ffmpeg", "-y", "-i", input_video,
        "-af", "silenceremove=start_periods=1:start_duration=1:start_threshold=-30dB:enable=1",
        "-c:v", "libx264", "-crf", "23", "-preset", "veryfast", output_video
    ])
    print(f"Tayyor: {output_video}")
    return True

if __name__ == "__main__":
    remove_silence_and_retakes("/workspace/scratch/raw_reel.mp4", "/workspace/scratch/polished_reel.mp4")

Loyiha 5: O‘z-o‘zini yaxshilovchi Trading Bot

AQSh kongressmenlari qanday savdolar qilayotganini kuzatuvchi Quiver Quant API va ularni paper-trading orqali Co-Invest platformasida amalga oshiruvchi avtopilot.

{
  "trading_system": {
    "strategy_name": "Congressional Copy-Trading",
    "target_senators": ["Nancy Pelosi", "Tim Moore"],
    "broker_connector": "co-invest.ai",
    "starting_capital_usd": 10000.0,
    "mode": "paper_trading",
    "risk_management": {
      "max_position_size_percent": 15.0,
      "stop_loss_percent": 5.0,
      "take_profit_percent": 35.0
    },
    "automation": {
      "quiver_quant_api_pull": "Daily at 09:15 AM EST",
      "co_invest_execute": "Daily at 09:30 AM EST",
      "dashboard_deployment": "here.now (Weekly Friday 04:00 PM EST)"
    }
  }
}

Hermes ushbu JSON qoidalariga rioya qilib, har kuni Quiver Quant tizimini tekshiradi va yangi savdolarni paper-trading ga jo‘natadi.

Loyiha 6: Shaxsiy Longevity Coach va Jarvis HUD

Tibbiy PDF hisobotlar (blood panel), uyqu va sport ko‘rsatkichlari (Whoop, Eight Sleep) asosida shaxsiy sog‘liq tizimini boshqarish.

Hey Hermes, mening tibbiy PDF qon tahlillarimni tahlil qil. Eight Sleep va Whoop uyqu
ko'rsatkichlarimni kuzatib, har kuni menga nima eyishim, qanday mashq qilishim va qaysi
supplementlarni qachon qabul qilishim kerakligini Telegram orqali yozib tur.
Men kechki 22:00 da uxlamasam yoki kunlik suv miqdorini ichmagan bo'lsam, menga
Telegramda "Nudge" yuborib, bezovta qil.

+---------------------------------+
|        JARVIS HUD SCREEN        |
| [Sog'liq]            [Bugungi]  |
| - Sleep Score: 95%      - D3    |
| - Rest HR: 52 bpm      - 45 min |
| [Blood work]                    |
| - Ferritin: Kam (temir moddasi) |
+---------------------------------+

Qaysi loyiha bilan boshlash?

Xulosa

Hermes bilan bitta buyruq yoki kichik skript orqali butun tizimlar qura olasiz. Boshida Loyiha 1 (Daily Briefing) bilan boshlang — u eng sodda va eng foydali. Keyingi bo‘limda bularni ishlab chiqarishga chiqarishni ko‘ramiz.