Smarsh's Emmy Agent Resolves 31% of Cases and Saves Reps 7.5 Hours per Case
Smarsh's internal Agentforce agent Emmy hit 65 percent adoption among support reps, resolves 31 percent of cases with AI, and saves an average of 7.5 hours per case.
A random mix from the whole library. Shuffle for a new set.
Work
Jobs, side gigs and small business · 1,669 ideasDay 9 of agents running a poster shop: 62 listings, 2 visits, $0
In episode 2 of his ‘Harness League’ experiment, Dan Mercede reports his agent-run Etsy poster shop (62 active listings) drew just two outside visits and no sales by day 9, with a scoreboard tracking visits by agent (The AI 83, the AI 80, the AI 71).
This only partly worked. Worth knowing before you try it.
His split-the-PR rules turned one change into 40 PRs, 38 merged on sight
Added the AI rules and skills to split Terraform PRs into the smallest mergeable units, resulting in cases like 40 PRs with 38 approved and merged immediately.
The AI worked out a cloud batch copy job, ran it and reported back
Asked the AI to figure out, create and execute an AWS S3 batch copy job and report its state, and it did so without hesitation.
Run my moving-company marketing with three always-on bots and a 35-minute morning approval pass
A moving/junk-removal owner says three the AI run his marketing agency work: a Google Business Profile posts bot drafting daily posts in each client's voice, a review-replies bot generating three reply options per new review, and a GoHighLevel bot logging leads, creating call-back tasks and drafting follow-ups. His morning pass runs 6:30, 6:45 and 7:00 AM approving posts, picking replies and sending follow-ups, done by 7:05 with nothing left open; the bots are logged into Gmail, Quo, Stripe, Wix, GoHighLevel and Google Business Profile.
A reviewer agent has checked 7,600 of his commits in four months and rejected half at least once
A reviewer agent has gated his commits for four months of daily use, about 3,877 commits and 7,600 reviews, rejecting about half at least once and catching real bugs before commit (his own measured use, RemainderBot class).
A desktop app became a web client in 2 prompts and 2 hours, at 95 percent
An LLM ported a Qt desktop app to a thin web client and server, reaching 95 percent of functionality in 2 prompts and 2 hours.
2 hourssaved
This only partly worked. Worth knowing before you try it.
Four the AI skills turn one raw podcast recording into finished pieces
He drops one raw podcast recording into AI. Four skills turn it into an mp3, a transcript, a description on his clipboard, and a pull request on spring.io, with no manual steps.
A college counselor built a degree planning side business with AI
A community college counselor of 16 years turned her idea for paid degree planning into a working side business: The AI helped with the business plan, built and edited her website, including a later round where Work mode edited the live Squarespace site directly, found leads and shaped her replies to potential clients. She has her first client and a lot of leads.
Add up my employees' photographed time cards for payroll
A Parix.ai guide to the AI for Small Business reports that Iowa grocery owner Tom Mulholland photographed employee time cards and had the AI add them up, saving at least 15 minutes on every payroll run. (Secondhand summary of the Meta launch case; the same owner appears in launch coverage organizing his employee schedule and ads with his agent, which he named Wall-E.)
Every idea is a real post from someone who tried it, summarized in our words, with a link to the original. App names are swapped for plain words.