software-architecture.aiI Had the Same Problem.
Not enough people for proposal writing. Now AI creates 10-page pitches in 15 minutes. What I built for myself, I'll build for you too.
Sound familiar?
I know this from my own experience: an inquiry comes in, sounds exciting. But a convincing pitch takes time. Hours of research, formulating technical concepts, creating architecture diagrams, laying everything out neatly. A good proposal easily eats half a day. With multiple inquiries per week, it quickly becomes a bottleneck.
Standard documentation tools barely help. They generate generic outputs that don't show you've truly understood the client's specific problem. Yet that's exactly the decisive factor when a contract is awarded: does the vendor actually get my problem, or are they sending me a template?
Then comes the temptation: AI tools promise to solve the problem. Paste in the tender, press a button, done. The result? Interchangeable text that follows the same tired pattern. No specific engagement with the client, no real technical depth, no discernible thought behind it.
So I built something for myself.
What I Built
I wanted something that makes me faster without taking the decisions away from me. MagicalTender takes a tender, pulls in my references and competencies, and builds a pitch that sounds like me. Not like a text machine.
Two weeks from the first line of code to the first real pitch. No spec document, no project plan. Build, test, improve.
There is no magic button. MagicalTender supports every step, but I set the direction.
I read the tender. I decide which references are relevant. I determine the technical approach. Then MagicalTender turns it into a finished document: professionally written, cleanly laid out, complete with architecture diagram.
Human Steers, AI Accelerates
In the current AI hype, the line between "AI-assisted" and "AI-generated" is blurring. Many tools advertise that they automate everything. Sounds tempting, until you see the result: generic, interchangeable, with no discernible understanding of the specific case.
MagicalTender deliberately takes a different path. The AI structures the tender, accelerates the preparation, brings everything into shape. But every substantive decision stays with me. No client wants to feel their proposal came out of a text machine. And I don't want that feeling either.
The human makes every decision. The AI puts them on paper.
The Lever: Input and Output
The real acceleration happens at two points.
Input: Understand Faster
The AI analyzes and structures the tender so I can immediately grasp the relevant information. Instead of combing through pages of free text, I have a clear overview of requirements, pain points, and technical constraints within seconds.
Output: Execute Faster
Once I've made my decisions about which technical approach fits, which references are relevant, and what the architecture should look like, the AI puts it into shape. Professionally written, cleanly laid out, complete with architecture diagram and cost breakdown.
The human is massively accelerated on both ends: in understanding and in execution. In between lies what no AI can replace: thinking, weighing, deciding. That's exactly what separates a convincing proposal from AI slop.
The Result
< 15 min
instead of half a day
10 pages
incl. architecture diagram
2 weeks
zero to production
A complete, professional pitch in under 15 minutes. Including architecture diagram, cost breakdown, and technical concept. What used to take hours is now routine.
Every proposal created through MagicalTender contains specific analyses of the client's problem, a well-considered technical solution approach, and a realistic effort estimate. It doesn't read like a template because it isn't one. It reads like a proposal from someone who understood the problem. Because that's exactly the case.
“The best software comes from solving your own problem. You don't cut corners when you're the one using it every day.”
Jörg Amelunxen
What I built for myself, I'll build for you too.
MagicalTender solves my problem. But the principle behind it works for any business that regularly creates proposals, concepts, or documentation.
MagicalTender was ready to use in two weeks. Since then, it gets better with every pitch because I use it myself. Every use reveals what's missing, what's annoying, what could be faster. That's the advantage of building your own tool.
If you have a similar problem, whether in proposal writing, documentation, or an entirely different area: I'll build something for you that works the same way.
Sound like you?
Describe your situation. I'll tell you honestly what's possible.