A filter-and-draft pipeline that surfaces only the Upwork jobs worth bidding on, early, with the proposal already drafted.
The agency owner wins work on Upwork, but the best jobs fill fast. By the time a listing was spotted, 50+ proposals were in and a low-baller had usually already been considered.
Upwork filters are basic. The owner only wanted hourly jobs at $100/hr or more, or fixed-fee jobs of $1.5k or more, and anything in the $20-$40/hr range was noise. Finding the good ones meant manually scrolling the feed all day.
We set up Upwork job alerts and built an ingestion layer on top of them. Each alert email is parsed, checked against the owner's own rules (rate floors, fixed-fee minimums, proposal count), and only the jobs that pass reach the owner.
For every qualified job, the copilot drafts the pitch. The owner reviews, edits, and sends it from Upwork. Nothing is auto-submitted, so the voice and the final call stay theirs.
Upwork job notifications land in a dedicated inbox as they are posted.
Each email is parsed into structured job data: budget, rate, proposal count, scope.
Hourly floor, fixed-fee minimum and proposal ceiling cut the feed down to jobs worth the time.
A tailored proposal draft is generated for each qualified job, ready to review.
A short, high-quality list goes to the owner, who edits and sends via Upwork.
A Google Maps powered prospecting tool that finds local businesses with dated, non-mobile-friendly sites and builds a compliant outreach list.
The agency's proven SOPs, templates and VA workflows, turned into an AI system where the AI does the task and a human reviews it.
An AI-assisted workflow for your PR journey, taking the guesswork and the manual grind out of earning media coverage.
Bulk withdraw pending sent invitations older than a set number of days, something LinkedIn has no native way to do.
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