SwiftMe: AI-Written Freelance Proposals in Seconds

The Client

SwiftMe is an AI proposal writer for freelancers, built by TRODAD for SR Rony. The product is a browser extension paired with a web dashboard, and its promise is a specific one: help freelancers create winning proposals in seconds, using AI, across the major freelance marketplaces.

Anyone who has bid for work on a freelance platform knows the arithmetic behind that promise. Proposals are the tax on freelance income. Each one takes real time to write well — reading the brief properly, understanding what the client is anxious about, and answering it in a way that does not read like a template. Most are never replied to. So freelancers face a choice between writing carefully and losing hours, or writing quickly and losing bids. Both options cost money; they just bill it differently.

The Challenge

The brief was to build a platform that helps freelancers create winning proposals in seconds, using AI, and to make it work across major freelance marketplaces rather than on a single site.

Three demanding words sit in that sentence.

"Winning" rules out generic output. A tool that produces plausible, interchangeable text solves the speed problem and makes the results problem worse — clients can spot boilerplate faster than freelancers can generate it. The output has to be personalized to the specific brief in front of the user.

"In seconds" sets a hard performance constraint on the whole pipeline. A proposal assistant that takes a minute to think has already lost to the freelancer typing manually. Real-time data processing was a functional requirement, not a nice-to-have.

"Across major freelance marketplaces" meant the product could not live only in a dashboard, because the work does not. Freelancers bid where the jobs are posted, which is why the browser extension exists: the tool has to reach into the user's actual workflow rather than asking them to leave it, copy a brief, paste it somewhere else, and carry the result back.

The Approach

SwiftMe is built on Next.js with Prisma — Next.js carrying both the web dashboard and the interface layer, Prisma handling the data layer between the application and its database.

The architectural decision that shapes the product is the two-surface design. The browser extension is where the work happens: it meets freelancers on the marketplace pages where briefs are posted, so proposal generation sits inside the bidding flow instead of alongside it. The web dashboard is the home base behind it. Splitting the product this way keeps each surface honest about its job — the extension optimised for speed at the point of use, the dashboard for everything that benefits from a fuller interface.

TRODAD worked as the end-to-end partner on the build rather than as one contributor among several. That covered UI/UX, backend architecture, API integration, the AI-driven proposal generation itself, real-time data processing, and workflow automation. For a product where the user experience and the AI pipeline are effectively the same feature — a beautiful interface producing slow generic text is a failed product, and vice versa — having design and engineering under one roof is not a convenience but a requirement.

The Build

The platform brought together six areas of work:

• UI/UX — the interface design across both the extension and the dashboard
• Backend architecture — the foundation supporting generation, storage, and the two client surfaces
• API integration — connecting the platform to the services it depends on
• AI-driven proposal generation — the core capability, producing personalized proposals rather than filled-in templates
• Real-time data processing — what makes "in seconds" achievable in practice
• Workflow automation — reducing the manual steps between reading a brief and submitting a proposal

Those last three are where a product like this is won or lost. Generation quality determines whether the proposals land; real-time processing determines whether the tool is faster than not using it; workflow automation determines whether it is used at all. A tool that saves a freelancer thirty seconds of writing and costs them a minute of navigation is a tool they abandon in week two.

The Results

SwiftMe delivered on what it set out to be:

• A smart, high-performing platform — the performance requirement met alongside the intelligence requirement, not instead of it
• Personalized proposals in seconds — the product's core promise, delivered without falling back to generic output
• Enhanced efficiency and proposal quality — both sides of the freelancer's original trade-off improved at once

That final point is the interesting one. The problem SwiftMe addresses is usually framed as a choice: write fast or write well. A tool that only made proposals faster would have moved the freelancer along one axis while pushing them down the other. Improving efficiency and quality together is what makes the product worth installing rather than merely worth trying.

What Transfers to Your Project

SwiftMe is a useful reference for anyone building an AI product rather than an AI demo. Three decisions did the heavy lifting, and none of them are about the model.

First, meet users inside their existing workflow. The browser extension exists because asking people to change where they work is the most common way good tools go unused.

Second, treat speed as a feature with a hard threshold. "Fast enough to beat doing it manually" is a product requirement, and it belongs in the architecture from day one.

Third, personalization is the whole product. Generic AI output is abundant and worth roughly what it costs. The engineering that makes output specific to the situation in front of the user is what people actually pay for.

Book a free consultation — let's talk about your project. trodad.com/appointment