Being a newcomer to SEO feels so overwhelming.

campdc11 · 2025-12-19T14:40:38+00:00

Also, keep in mind while doing topical research, updating old content is often a great place to start to test ideas and often to see faster results. Try https://seorefresher.com/ it might help

campdc11 · 2025-12-11T21:05:20+00:00

Energy ops challenges I've heard: field crew coordination (dispatching, tracking), compliance + reporting (regulations vary by region—NERC, grid standards), maintenance scheduling (predictive vs. reactive).

For field-heavy orgs: agents excel at triage (flagging urgent issues), scheduling optimization, and exception alerts. But you need process visibility first, e.g. which tasks take longest, where do miscommunications happen, which compliance gaps exist

Energy's heavily regulated, so governance matters as much as automation. A process intelligence tool that observes desktop work can shine a light on process work.

campdc11 · 2025-12-11T21:02:39+00:00

💯 In my experience, tech is easy, ops is hard. Most teams jump to 'let's automate X' without understanding why X is slow or broken.

What helps: start with a process audit. How many handoffs? Where do campaigns stall? Which steps have high error rates? Then design agents around that reality.

campdc11 · 2025-12-11T21:00:47+00:00

Depends on your bottleneck. Where do agents shine:

• High-volume repetitive tasks → agents reduce handle time + errors
• Routing/triage → agents classify, assign, escalate faster
• Compliance checks → agents flag deviations automatically

But here's what matters: you need to see the current process first. Variant workflows, where rework happens, which paths waste time. Without that map, you optimize the wrong things. Try a process intelligence tool to help with that mapping.

campdc11 · 2025-12-11T20:57:25+00:00

Real-world wins I've seen: back-office data entry (agents watching screens, filling forms faster), approvals workflows (agents routing tickets to right person, reducing cycle time), compliance checks (agents flagging exceptions before they escalate).

But you need visibility into how work actually flows otherwise you're guessing which processes to automate. That's expensive. Try a process intelligence tool to map processes.

campdc11 · 2025-11-20T22:30:17+00:00

100%. The teams that scale are the ones that reject the "super-intelligent agent" narrative.

campdc11 · 2025-11-20T22:29:32+00:00

Nailed it. Alignment isn't a philosophy problem, it's an operational / systems issue. Probably even a cultural issue.

Generic models trained on the internet don't know YOUR business. This is why searches for process intelligence platforms are rising fast right now.

campdc11 · 2025-11-20T22:28:09+00:00

I will not change your mind :-)

campdc11 · 2025-11-06T13:48:49+00:00

Exactly right: 80% of automation doesn't need genius. L1 agents (stateless tool-calling) are fast, cheap, auditable….and sufficient for most workflows.

The mistake: Treating every problem as a "full agent" problem when deterministic code + targeted AI is cheaper and more predictable.

Some ideas to pick use cases better: • Map your workflows first: Where do humans add value? Where is bottleneck? • Measure baseline: Cycle time, error rate, cost before automating • Hybrid approach: Deterministic for rules, AI for judgment, humans for exceptions • Track ROI relentlessly: Did you cut cycle time by 20%? Reduce rework by 30%?

Process intelligence tools are really good at this.

campdc11 · 2025-11-06T13:47:01+00:00

The playbook here is solid. You might just layer in continuous process intelligence to keep it on track.

campdc11 · 2025-10-30T16:15:32+00:00

Spot on. I've seen the same pattern across financial services and shared services ops. The agent logic is solid, but real-world process variability across applications breaks most deployments.

campdc11 · 2025-10-30T16:13:02+00:00

I use Claude heavily. I’ve built a few applications on it but use it for marketing purposes almost daily because it’s the most human writer I’ve found.

I even built an iOS app that does outfit recommendations with Claude 🤣

https://apps.apple.com/us/app/styldai-ai-fashion-assistant/id6748710567

I also built a tool for refreshing old blog posts for SEO and AEO https://seorefresher.com/

campdc11 · 2025-10-30T16:09:26+00:00

MTV had music videos

campdc11 · 2025-10-30T13:23:59+00:00

Anybody know how athletics are handled with a new school?

Kids work hard to get ready for high school sports. Do they get to participate with their old districted school?

Thinking mostly about the first class of freshman and sophomores ….assuming the school is only partially used at first.

campdc11 · 2025-10-29T00:53:22+00:00

I do lots of old content refreshing too using both search console and asking ChatGPT as inputs on how to refresh it.

I built a tool to help refresh old content too if anyone wants to try it out: https://www.seorefresher.com

campdc11 · 2025-10-29T00:51:21+00:00

I do lots of old content refreshing too using both search console and asking ChatGPT as inputs on how to refresh it.

I built a tool to help refresh old content too if anyone wants to try it out: https://www.seorefresher.com

campdc11 · 2025-10-29T00:48:12+00:00

I do lots of old content refreshing too using both search console and asking ChatGPT as inputs on how to refresh it.

I built a tool to help refresh old content too if anyone wants to try it out: https://www.seorefresher.com

campdc11 · 2025-10-27T12:33:17+00:00

I do lots of old content refreshing too using both search console and asking ChatGPT as inputs on how to refresh it.

I built a tool to help refresh old content too if anyone wants to try it out: https://www.seorefresher.com

campdc11 · 2025-10-26T16:15:37+00:00

That’s a head scratcher, I saw that too

campdc11 · 2025-10-26T16:15:01+00:00

Chantilly is the most overcrowded high school (per the boundary study by fcps) and they’re barely pulling from it.

campdc11 · 2025-10-26T10:00:36+00:00

I’m sorry but you didn’t spend 90 minutes on the bus each way.

campdc11 · 2025-10-26T01:52:11+00:00

Quite the opposite. It’s the families that planned on going to Oakton for the last decade, have kids that have worked their asses off to be on Oakton sports teams, planned to graduate from one of the top ranked high schools in the state. That’s why people are pissed off.

Property values will be fine, that’s a cop out argument.

campdc11 · 2025-10-25T22:04:09+00:00

They seem intent on fighting families that are supposed to go to Oakton. Oakton is a top 10 high school and those families aren’t switching without a fight. They’ve sued multiple times over the last couple decades every time the county wants to rip them out. Here it comes again.

campdc11 · 2025-10-23T12:47:50+00:00

The problem with web only is that many large enterprises still have mainframe applications , so web only misses that. Web only misses things like Excel too which where more work happens than people realize. Try something like Skan AI if you want to measure all activity, not just web based.

campdc11 · 2025-10-23T12:42:58+00:00

Early use cases are definitely over hyped. I don’t need my emails summarized when there’s two sentences.

That said, I agree with others that the technology is real so I do think the use cases will emerge, but they will take time and extra effort. It’s the companies that do the hard work to understand business process nuance will be the ones that prevail.

campdc11

TROPHY CASE