Project stage: Live in production.
The starting point
UpGig came to us as a broken platform with a deadline that made no sense. The founder needed a complete rescue: new stack, new architecture, and an AI engine that actually worked, on a timeline most teams would refuse.
What TDAT built
A full rebuild in under 60 days: bulk resume processing with seven-dimension AI scoring, a drag-to-stage hiring pipeline, AI-conducted phone screens over a real phone number with per-question scoring, AI-generated candidate emails, branded careers pages, and a job ingestion pipeline for bringing listings into the product.
Current status
Live in production at upgigai.app with real employers and real candidate data, running on a 65-table platform backend that also powers a candidate-side app.
The decision: build around the employer’s job
A candidate-facing app alone did not cover the employer’s daily hiring work. The product expanded to support candidate access, resume review, a hiring pipeline and screening. The lesson is to identify the business task that makes a product useful before turning a rescue into a longer feature list.
One feature: AI-assisted phone screening
The phone screening workflow gathers candidate responses and produces per-question scoring for the hiring team. The useful artifact is the reviewable screening record attached to the candidate, rather than a conversation that ends without a next step.
A screening score supports human review. It is not a claim that the system can make a reliable hiring decision on its own. For a similar build, the scope must define permitted questions, consent, incomplete calls, review authority and retention.
Lessons to apply before funding a rescue
- Inspect the complete user journey before judging progress from a demo.
- Connect the repair to the business offer and the people who will use it.
- Give automated conversations a reviewable record, owner and recovery path.
- Distinguish a shipped capability from paying adoption and realized revenue.
What comes next
Turning on the live revenue path, completing the security and testing gates, and scaling founder-led outbound with the go-to-market machine we built alongside the product.
Hire TDAT to own the implementation.
Bring us the current product or the workflow you need. We will define the investigation, delivery scope and acceptance evidence before implementation.
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