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r/ClaudeAI·1 month ago

what's your career bet when AI evolves this fast?

my career bet turned out to be writing specs. I run 5 claude agents in parallel and my actual job now is writing detailed CLAUDE.md files and reviewing their diffs. 18 years of embedded experience in your case probably means you're the one who knows what the spec should say — that's the moat.

104upvotes
24kviews
#1
u/Deep_Ad1959replying to own comment

if it helps, i open sourced the agent workflow i use for this — coordinates multiple claude instances, manages the CLAUDE.md context, tracks everything locally. repo's at https://fazm.ai/gh if anyone wants to see how the spec-writing pipeline is set up

fazm.ai/gh
r/ClaudeCode·1 month ago

Claude Code isn't "stupid now": it's being system prompted to act like that

the "avoid over-engineering" one is what gets me. I have a 200+ line CLAUDE.md for a macOS agent I'm building (Swift, ScreenCaptureKit, the whole stack) and claude constantly decides my specific build instructions are "unnecessary complexity" and simplifies them into something that doesn't compile. ended up prefixing critical sections with "THIS IS NOT OVER-ENGINEERING" which is absurd but it actually helps.

51upvotes
9.0kviews
u/Deep_Ad1959replying to own comment

fwiw the macOS agent I mentioned is open source if anyone wants to see the CLAUDE.md that fights these directives — https://fazm.ai/gh

fazm.ai/gh
r/ClaudeCode·1 month ago

MCP servers are the real game changer, not the model itself

biggest unlock for me was building an MCP server that wraps macos accessibility + screen capture. the AI can literally see what's on screen and click things without me copy-pasting anything. went from "here's a screenshot, what do I do" to "just do it" overnight. the JIRA integration sounds great too — half my time used to be reading tickets and translating them into context for the model.

41upvotes
10kviews
u/Deep_Ad1959replying to own comment

yeah we open sourced it — it's an MCP server that uses the macOS accessibility API to traverse the UI tree and can screenshot + click elements. still rough around some edges but works surprisingly well for most desktop automation workflows. repo: https://github.com/mediar-ai/mcp-server-macos-use

github.com/mediar-ai/mcp-server-macos-use
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You pay per booked call — meaning you only get charged when a qualified decision maker actually schedules a call on your calendar. No monthly retainers, no pay-per-DM fees. If we don't book calls, you don't pay. We're fully incentivized to perform.

Not necessarily. If you already have a defined ICP, great — we'll use it. If not, we conduct market research, analyze your product, and figure out exactly who your ideal buyers are. Either way, we provide links and context about your product to ensure every outreach is on target.

Cold outbound interrupts. We engage people who are already talking about the problems your product solves. We find relevant posts on Reddit, X, and LinkedIn, contribute genuinely helpful responses, and then follow up with personalized DMs. By the time we reach out, there's already context and trust.

We engage organically on social posts where your ICP is active, then follow up with personalized DMs to decision makers. The conversation naturally leads to a call. We link them directly to your calendar — they pick a time, you show up.

Most clients see their first booked calls within the first two weeks. Building a consistent pipeline takes 3–4 weeks as we dial in your ICP and messaging. Results compound — engaged prospects stay warm and often refer others.

Just link your calendar (Cal.com, Calendly, etc.) and tell us about your product. That's it. No tools to install, no SDRs to train, no outbound stack to configure. Everything works end to end.

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