The project is too broad
The first version tries to solve an entire business process instead of one valuable decision or workflow.
Live founding cohort
Build a credible AI application in five live sessions
Turn a real business workflow into a deployed application using AI-assisted development—without stopping at a disposable prototype.
You’ll learn how to define the problem, control the scope, build the application, add AI responsibly, deploy it, and present its business value.
Small live group. Practical project. Direct feedback throughout the sprint.
From problem to value
- Business problem
- Workflow
- Scoped app
- AI capability
- Human review
- Deployment
- Value demo
- One deployed AI application
- One reusable project blueprint
- One architecture summary
- One customer-ready demo
- One clear business-value narrative
The real challenge
AI can generate code. That doesn’t mean it can define the right application.
Many AI-assisted projects begin with an interesting prompt and end with a demonstration that is difficult to deploy, maintain, explain, or connect to a real business outcome.
The hardest part is rarely generating the first screen. It is deciding what should be built, controlling the scope, structuring the data, handling uncertainty, testing the AI behavior, and creating a credible path to production.
The demo has no operational path
The application works in a controlled demonstration but lacks data structure, review controls, testing, or deployment planning.
The value is unclear
The technology looks interesting, but the builder cannot explain what improves, who benefits, or how success should be measured.
From an AI experiment to a credible business application
Before the sprint
- Broad or unclear application idea
- Features selected before the problem is understood
- AI added without a defined role
- Uncontrolled scope
- Limited testing
- Local demonstration only
- Technology-focused presentation
After the sprint
- Clearly defined business problem
- Mapped workflow and user outcome
- Scoped first release
- Purposeful AI capability
- Human-review and guardrail strategy
- Deployed application
- Value-focused customer demonstration
Reference application
Build one complete application pattern
The founding cohort will use a Document-to-Decision application as the common reference pattern. Participants can adapt it to a business scenario relevant to their work.
PDF, email, form, or record
→Extract structured information
→Validate and flag anomalies
→Human review
→Save decision
→Reveal trends
Adapt the pattern to your work
What you’ll leave with
A deployed application
A working application accessible through a real URL, not only a local prototype.
A scoped product blueprint
A reusable problem statement, workflow, PRD, data model, and scope definition.
A meaningful AI capability
An AI feature connected to a specific workflow step rather than added for decoration.
Human-review controls
A clear pattern for reviewing uncertain, sensitive, or high-impact AI outputs.
Testing and guardrail checklist
A practical approach for testing expected results, exceptions, and failure scenarios.
Architecture summary
A concise explanation of the application, data, integrations, AI components, and trade-offs.
Five-minute value demonstration
A customer-facing narrative focused on the problem, workflow, result, and business value.
The curriculum
Five live sessions. One complete journey.
01
Choose the right problem
- Identify the user and business problem
- Understand the current workflow
- Define the desired outcome
- Select a measurable success signal
- Decide what not to build
Outcome: A clear problem statement and workflow map
02
Scope the application
- Define the first release and create the PRD
- Design the data model
- Identify integrations
- Define boundaries and trade-offs
- Keep the first version reversible
Outcome: A realistic application blueprint
03
Build the core product
- Set up the project
- Work effectively with an AI coding agent
- Build the primary user journey and database
- Review and improve generated code
- Track assumptions and technical debt
Outcome: A working core application
04
Add AI and controls
- Define the AI capability
- Structure prompts and outputs
- Add validation and human review
- Handle low-confidence results
- Design failure and fallback behavior
Outcome: A useful AI workflow with appropriate controls
05
Test, deploy, and demonstrate value
- Test the critical workflow and edge cases
- Deploy the application
- Create the architecture summary
- Build the five-minute demonstration
- Explain business impact and next steps
Outcome: A deployed application and customer-ready presentation
What’s included
Your founding-cohort package
Five live group sessions of approximately 60–75 minutes each, with hands-on work between sessions.
- Five live group sessions and recordings
- Application-planning workbook and business-problem worksheet
- Workflow-mapping and scoped PRD templates
- Architecture checklist
- Human-review and guardrail patterns
- AI testing and deployment checklists
- Five-minute demo framework
- Reusable prompts and sample data
- Starter project or repository, when technically appropriate
- Group support during the sprint
- Final project review and feedback
This sprint is for you if…
- You understand software or technical product delivery.
- You have experimented with AI coding tools but want a structured process.
- You can prototype but struggle to make the result credible or deployable.
- You work with customers and connect technical decisions to business value.
- You want to learn by building a real application.
- You can commit time between live sessions.
- You are comfortable troubleshooting unfamiliar tools.
This may not be the right program if…
- You want a general introduction to ChatGPT.
- You have no interest in building or configuring software.
- You want a fully completed application delivered to you.
- You expect every project to use the same stack.
- You are building a highly regulated production system in five sessions.
- You cannot dedicate time between sessions.
- You want a passive course with no hands-on work.
The sprint is designed to produce a credible first version—not a complete enterprise platform.
Your instructor
Led by Otavio Souza
Otavio has spent nearly 20 years working across software development, consulting, technical sales, and solution delivery. His experience includes helping teams translate unclear business problems into practical applications, prototypes, integrations, and customer-facing solution narratives.
The sprint combines hands-on application development with the product, architecture, and business-thinking skills required to make the result credible.
Founding cohort
Join the founding cohort
$199
One-time founding-cohort price
The founding cohort is intentionally small so the program can include direct feedback and project support.
- Five live sessions
- Templates and workbook
- Session recordings
- Group support during the sprint
- Final project feedback
Apply
Tell us what you want to build
Share your background and the workflow you want to improve. Submitting an application does not automatically guarantee acceptance.
Refund policy: To be defined by Mainstreet AI before direct paid registration is enabled.
Frequently asked questions
Do I need to be an experienced software developer?
You should be technically comfortable, but you do not need to be an expert in every part of the stack. The program best suits people who understand software, technical products, low-code development, solution engineering, or technical consulting.
Which AI coding tool will we use?
The exact stack and supported AI coding agent will be confirmed before the cohort begins.
Can I use my own project?
Yes, provided it can be reduced to a realistic first version and does not require confidential customer information. You may also use the reference scenario and synthetic data.
Will I build a production-ready enterprise system?
No. The objective is a credible, deployed first version with a clear architecture, controls, and path forward.
How much time should I expect to spend?
Plan for five live sessions plus approximately two to four hours of independent project work between sessions. Actual time depends on your experience and project scope.
Will the sessions be recorded?
Yes. Recordings will be available to registered participants.
What happens if I cannot attend one session?
You can watch the recording, but live participation is strongly recommended because the program is collaborative and project-based.
Is this a done-for-you service?
No. Participants build their own application with instruction, templates, and feedback.
Is the $199 refundable?
The refund policy is being finalized and will be published before direct paid registration is enabled.
Stop at a demo—or build something credible
Join the founding cohort and learn a repeatable path from business problem to deployed AI application.
Apply for the founding cohort — $199Five live sessions. Practical templates. Direct project feedback.