Wissam T.

The automations that hold up for me are the ones with a clear owner and an easy way to see what failed. I’d start narrow, review exceptions weekly, and track whether the output is still helping the person who uses it—not just whether the workflow ran. Once nobody is checking edge cases, small errors tend to turn into a trust problem pretty quickly. What kind of automation are you trying to keep consistent?

I think the old-school version can absolutely win here. For a free offer, people mostly need to understand the value quickly and feel like the ask is low-risk... they don’t need a paragraph proving you researched them. I’d test the reason for the invite, a little social proof, and how fast the message gets to the payoff.

This is a fun test because the weak lines sound polished but don’t really say anything. The better ones make it obvious why that person was picked and what specific problem or decision the message is about. I’d score one extra thing: could the reader understand the point from that sentence alone?

I’d keep this really simple: only track changes that might affect what sales or marketing does next. Pricing, positioning, new customer segments, partnerships, and hiring moves are usually enough. A short weekly note on what changed and whether it matters beats a giant feed nobody wants to read.

done, looking forward to connecting

One way I'd frame it: fractional reps can cover activity, but someone has to own the system that makes activity compound. I would not hire an end-to-end commercial owner until you can name the repeatable wedge: who buys, why now, how they hear it, and what evidence says the motion works. Until then, keep founder-led selling close and maybe hire a builder/operator who can tighten positioning, pipeline instrumentation, and partner tests. What part is breaking first right now: message clarity, source of qualified conversations, or conversion after first call?

i know i am really late to this but will still share my thoughts 🙂 I would split it into a migration contract and an operating contract. Migration: freeze schema changes, map UI labels to integration values, and assign one owner for exceptions. Operating: one intake lane, weekly data-quality scorecard, and one dashboard everyone accepts as truth.

This is exactly where skills get useful for GTM/revops: not as generic prompts, but as repeatable operating workflows with inputs, outputs, review steps, and safety boundaries. For a directory, I’d want each skill to answer: what business process does this run, what systems does it touch, what does “good output” look like, and what should it never do without approval. That also helps with Jason’s point about third-party skill risk. Happy to compare notes if useful. I’m working on repeatable GTM workflows in this space, and the difference between “cool prompt” and “trusted process” is usually the validation layer.