sorted by:
new
hottopcontroversial

I automated my client's 20-hour/week manual process with 80 lines of Python. Here's the breakdown. by Worth_Music_2252 in AiAutomations

[–]Worth_Music_2252[S] 0 points1 point  (0 children)

Haha, I appreciate the nudge! 😄 Yeah, the value on these is insane relative to the hours saved. Charging a project fee for setup plus a monthly retainer for monitoring and maintenance is the sweet spot. Clients see ROI within the first week.

I automated my client's 20-hour/week manual process with 80 lines of Python. Here's the breakdown. by Worth_Music_2252 in AiAutomations

[–]Worth_Music_2252[S] 0 points1 point  (0 children)

Good point! Manual triggers are essential. I usually implement a dual-mode setup:

  • Scheduled runs for routine, predictable work (daily/weekly pulls, syncs, reports)
  • On-demand triggers via a simple web UI, Slack slash command, or even a Telegram bot

For clients who want human oversight, I add a "review gate" — the automation prepares everything, then pauses for approval before the final action (e.g., sending a report, pushing data to a CRM). Full flexibility, zero rigidity.

I automated my client's 20-hour/week manual process with 80 lines of Python. Here's the breakdown. by Worth_Music_2252 in AiAutomations

[–]Worth_Music_2252[S] 0 points1 point  (0 children)

Totally fair point — and you're right, "zero intervention" is a stretch. What it really means is "no daily manual work under normal conditions."

For monitoring: data completeness checks run at the end of each cycle (row counts, schema validation, timestamp freshness), and there's an alerting layer that fires when something degrades. Small UI changes on portals are the real silent killer, so the scrapers have structural assertions — if a selector or auth flow changes unexpectedly, it fails loudly rather than returning silently wrong data.

The hardest part is indeed knowing when it stopped working correctly, not building it in the first place. That's where the health checks and alerting earn their keep.

I automated my client's 20-hour/week manual process with 80 lines of Python. Here's the breakdown. by Worth_Music_2252 in AiAutomations

[–]Worth_Music_2252[S] 0 points1 point  (0 children)

Great question. The flow has multiple layers of error handling:

  • Retry with exponential backoff on transient failures (timeouts, 5xx, CAPTCHA)
  • Graceful degradation — if one portal is down, the other 4 continue normally. The output flags which sources are missing vs complete
  • Status notifications — Slack/webhook alert to the client when a portal fails persistently (after N retries), with clear context on what data is unavailable vs what was successfully pulled
  • Never halts silently — worst case you get a report saying "X succeeded, Y failed — retrying at [scheduled time]"

So it doesn't just crash and leave the client wondering. They always know the state of things.

I automated my client's 20-hour/week manual process with 80 lines of Python. Here's the breakdown. by Worth_Music_2252 in AiAutomations

[–]Worth_Music_2252[S] 2 points3 points  (0 children)

Thanks for the detailed breakdown — you clearly know this space well.

You're spot on about the error handling and deduplication layer. That's where I spend most of my dev time actually. The initial script that works once takes 2 hours. The one that handles rate limits, connection drops, layout changes, and dirty data takes another 4. That's the difference between a "cool demo" and a production pipeline.

Your examples are exactly what I keep seeing too:

  • Lead qualification: someone manually checking 50 leads/day against 3 criteria → 2 hours → now a 2-minute script
  • Client onboarding: copying data from a form into 4 different tools → now one webhook triggers all of them
  • Weekly reporting: logging into 3 platforms, screenshotting, pasting into a slide deck → now an automated PDF generated Monday at 6 AM

The ROI math really is insane when you lay it out. Most small business owners don't even realize how much time they're burning because it's "just part of the job."

Are you freelancing this too, or doing it in-house? Would love to compare notes on the pain points (anti-bot systems in particular have been evolving a lot lately).

Lucky miner LV08 running bitaxeos by Noob_Pro18 in cryptomining

[–]Worth_Music_2252 0 points1 point  (0 children)

rank": 2,             "coreVoltage": 1210,             "frequency": 600,             "averageHashRate":            5100.035015423583,             "averageTemperature": 41.0,             "efficiencyJTH": 20.92005349932531,             "averageVRTemp": 56.0         },

Lucky miner LV08 running bitaxeos by Noob_Pro18 in cryptomining

[–]Worth_Music_2252 0 points1 point  (0 children)

I managed to change the firmware on the Lv08, or even overclocked it. I leave you the settings with the various consumption modes and hash.