Digital Solutions Engineering
Start with the problem.
Build what connects.
ADsolve is Ali Daniyal’s professional practice in digital products, AI and automation. I help founders, startups and growing businesses understand a technical or operational problem and shape an appropriate solution.
Bubble applications and SaaS MVPs
For a founder turning an idea into a first usable product, the important questions are who uses it, what each person needs to do, and which business rules must hold. My strongest practical foundation is Bubble application development: interfaces, data and workflows for role-based products.
A useful first scope might be a client portal, marketplace or internal dashboard. We define the core journey and integrations before adding optional features. Bubble or custom development follows the requirements; a tool is not the starting point.
Explore NowTutors: people, availability and booking →APIs and existing-product improvement
When an application needs to connect with another service, I help map the data, access rules and failure states. That can involve API integrations, payment-related workflows, reporting or improving an existing user journey.
The exact scope depends on the existing application, provider restrictions and access available. A public interface is not proof that every integration is released; my project pages distinguish observed work from planned or unverified scope.
Workflow and business automation
For teams repeatedly moving information between tools, the first step is understanding intake, classification, ownership and follow-up. I explore workflows that connect those steps, with human review where a decision should not be automated blindly.
My supplied workflow work includes Make and Gemini. The portfolio’s routing example is a local demonstration, not a claim of hours saved or a deployed client result.
Inspect the classification and routing demonstration →AI integrations and intelligent features
AI is useful when it improves a defined task: analysing information, assisting a workflow or presenting alternatives for human review. I work from the input, the required output and the limits of the model rather than promising fully autonomous decisions.
My portfolio includes AI API exploration, interface concepts and separate Python/ML experiments. These have different maturity levels; they are not interchangeable proof of production AI systems.
Explore the TwinBro comparison concept → · See the AI/ML lab →Before we start
What should I bring to the first conversation?
Describe who has the problem, what happens today, where the process gets stuck and what a better result would look like. You do not need a finished specification.
Do I need to choose a technology first?
No. We can review the workflow, integrations and constraints before deciding whether Bubble, custom code or an automation platform is appropriate.
Can you improve a product that already exists?
Yes, that is a useful starting point for a conversation. The next step is reviewing the existing product and agreeing a bounded scope. Estimates and timelines depend on that review.