Frame the problem
Clarify the user, repeated task, desired outcome, source data, constraints, and evidence of success.
Custom AI app development
Turn one sharp problem into a working product.
Rotten Farms helps founders and small teams scope, prototype, and build focused AI apps without inflating the first release.
AI where it earns its place.
The goal is not to sprinkle a chatbot over a weak workflow. We identify the part where AI creates leverage, then design the product around a useful human outcome.
01
AI-powered web apps
Focused browser products for generation, extraction, search, analysis, or workflow assistance.
02
Mobile product MVPs
Testable mobile experiences that prove the core interaction before the roadmap expands.
03
Internal AI tools
Private utilities that reduce repetitive work across content, support, operations, or document-heavy processes.
04
AI feature prototypes
Clickable or functional experiments for teams deciding whether an AI feature deserves production investment.
Scope before spectacle.
A good first build makes one valuable journey work from beginning to end. The engagement follows a compact three-part loop.
Build the core loop
Design and implement the smallest complete experience that users can understand and test.
Learn and sharpen
Review real usage, fix weak assumptions, and decide what deserves the next release.
A strong fit looks like this.
You have access to the user or workflow, can name the painful task, and are ready to prioritize the first release instead of building every idea at once.
A
One accountable decision-maker
Feedback stays clear, scope decisions happen quickly, and the build does not stall in committee.
B
Real inputs to test
Representative documents, images, prompts, records, or user scenarios reveal whether the AI workflow is genuinely useful.
C
A measurable first outcome
Define what improves: time saved, task completion, quality, conversion, accuracy, or validated user demand.
AI app development FAQ.
Useful answers before we discuss a scope.
What do you need to estimate an AI app?
Send the target user, problem, must-have workflow, sample inputs, expected output, platform, and target date. A short screen recording of the current manual process is especially useful.
Can you build an AI MVP from an early idea?
Yes, but the first step is narrowing the idea into a testable promise. Use the free AI MVP Scope Brief generator or read the 12-decision scoping guide.
Do you work with global teams?
Yes. Rotten Farms collaborates remotely with founders and small teams worldwide using written decisions, focused reviews, and visible build progress.
Which AI models or platforms do you use?
The technical choice depends on the data, latency, privacy, quality, and cost constraints. The product requirement should select the model, not the other way around.
How long does a build take?
Timing depends on scope, integrations, design depth, data readiness, and review speed. A focused MVP is planned around one complete user journey, then estimated after discovery.