Prototype to Production
We help founders take Lovable and Bolt MVPs from a working demo to a launch with real users. We review your existing build, complete the important workflows and prepare the release around your product goals.
Keep the progress you have made. We help identify and finish the work your first release needs.
Take the MVP you have already built further. We review its available code, platform capabilities and connected services, then agree what to improve in place and what needs another approach.
For example Prepare a Lovable customer portal for its first users, with complete onboarding and working system connections.
Review the architecture and dependencies, complete missing features and strengthen user access, data handling and integrations. Focus the work on the journeys your launch needs.
For example Finish a signup flow, apply customer access rules and connect requests to your CRM.
Test important workflows and failure cases, evaluate AI features where relevant and prepare the agreed hosting and release process. Document monitoring, recovery and handover.
For example Test an AI document assistant against reviewed examples, then release it with checks and recovery steps.
Walk through the product, code and platform setup. Agree the launch scope, known gaps and what a successful first release must support.
Work in your agreed tools and codebase. Complete the priority fixes and features, sharing working versions and test results for review.
Prepare the release, documentation and recovery steps. Agree who manages hosting, maintenance and any ongoing engineering.
Lovable and Bolt are common starting points. We also work with Base44 builds and applications using Next.js, React and PostgreSQL. The available source code, platform access and integrations determine the approach.
Platforms we work with
Next.js
React
PostgreSQL
Base44
Bolt
Lovable
Internal platform
TechFoundry’s people operations platform connects employee records, payroll, expense review and reporting, with defined roles and AI assisted expense analysis.
Read the case study ↗
Case study
A funding platform for Canada’s national sport organizations, with application workflows, review and approval steps, and permissions for each role.
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Reference build
An AI workflow needs a place for people to inspect flagged decisions and approve or override proposed actions.
This reference build brings proposed actions, source evidence and review controls into one console. It illustrates the oversight a business AI application can need before broader use.
Explore the reference build ↗Before we begin
Yes. We first review the available code, account access, connected services and deployment options. We then agree whether to improve the build within its current platform or move specific parts elsewhere. Export and migration options depend on the platform and your setup.
Not necessarily. We look for what can be retained and improved before recommending replacement. The review produces a prioritized plan so you can decide what to address for the first release.
Yes. We can use your repositories, project tools and development environments with agreed access. Your team can follow the changes, review working versions and participate in release decisions.
That depends on the condition of the MVP and the launch scope. After reviewing the build, we agree the deliverables, pricing approach and schedule, including any hosting, platform or model costs.
We can review its sources, retrieval, prompts and model behavior, then test changes against representative examples. We report the observed results and remaining limitations.
You own the custom code after payment. Third party components and code created before the project retain their existing licences. We agree repository access, documentation and handover as part of the engagement.
We agree who manages hosting, updates, monitoring and support. Ongoing engineering can cover improvements and maintenance under a separate arrangement with a defined scope.
We agree working hours, meeting overlap and communication expectations before work begins. Shared project tools and repositories keep progress visible between scheduled reviews.
How to engage with us
Tell us what you want to build or improve, and we will come back with a practical next step rather than a sales sequence.