NextPlay ×
Sloop Labs

One technical partner to strengthen the platform, own the AI workflow, and build what comes next.

You need one person who can hold the whole product.

Your next developer will inherit more than a codebase. They will need to understand the health data journey, improve the current AI features, build the chatbot, and work with you every day as paid partnerships come online.

01

Product context

One dedicated developer can stay close to you, your users, and the decisions that shape the platform instead of rediscovering context with every task.

02

Applied AI judgment

You need someone who can select the right models, build guardrails, structure the knowledge base, and make the output dependable enough to ship.

03

Responsible ownership

The same person must be comfortable with health data, HIPAA requirements, partner separation, testing, infrastructure, and the complete path into production.

We recommend one embedded full stack developer.

They will work as part of your team every day and build deep context across the application. At this stage, one strong developer with full time focus is enough to own the platform. When a specific deadline calls for more capacity, we can add temporary specialist support without making the core team heavier.

01

Own the current platform

+

Your developer will take responsibility across the existing application and Python services, from everyday product work through release and production support.

  • Frontend and backend development
  • API contracts and failure handling
  • Testing, observability, and release process
  • Infrastructure and vendor coordination
  • Partner environments and role architecture
02

Rebuild the AI experience

+

We will replace brittle workflows with a product system that can improve over time. The immediate priorities are the meal builder and the deeply integrated health chatbot.

  • Model selection and evaluation
  • Health and nutrition guardrails
  • Structured recipe knowledge base
  • Reliable recommendations and fallback behavior
  • Chat across the complete user data set
03

Handle health data correctly

+

We will address the current redaction risk first, then make privacy and compliance part of how the product is built rather than a separate exercise.

  • Move redaction into an appropriate protected service
  • Map sensitive data and trust boundaries
  • Review access, retention, and deletion behavior
  • Strengthen partner and tenant separation
  • Prepare usable evidence for the HIPAA assessment
04

Ongoing development and feature builds

+

Your developer will stay with the platform beyond the transition, turning the roadmap into ongoing releases and owning features from definition through production.

  • New product and partner features
  • AI workflow improvements
  • Performance and reliability work
  • Technical debt and maintenance
  • Temporary specialist support when deadlines require it

The first two weeks create a clean handover.

Technical transition and ninety day plan

Your new developer will build context while producing a practical plan for the work ahead.

  • Repository, infrastructure, and database access
  • Walkthrough with the current developers
  • Health data and redaction review
  • Meal builder and chatbot diagnosis
  • Prioritized ninety day product roadmap

Clear ownership

We will confirm who owns every repository, credential, service, deployment, and vendor relationship before the transition is complete.

Work ready to begin

You will finish the transition with agreed priorities, defined owners, and the first implementation tickets ready for delivery.

A practical path from transition to product ownership.

01

Interview and select

We will share a focused group of candidates. You will meet them and select the person whose judgment, communication, and technical range fit the team.

02

Access and transition

Once we sign, allow about two weeks for access, system walkthroughs, ownership checks, and a clean transfer from the current developers.

03

Build with context

Your developer will begin with the immediate data handling risks, then move into the meal builder, chatbot, and the roadmap you set together.

Choose how we work together.

Embedded developer

$9,600

Your dedicated developer works directly with you every day while we provide oversight, continuity, and support.

  • Developer rate$60 per hour
  • Allocation160 hours per month
  • Initial commitment3 months
  • Committed capacity rate20% lower

Managed pod

$10,400

We manage delivery against your roadmap and coordinate the right mix of engineering support.

  • Developer capacity$9,600 per month
  • Project management$800 per month
  • PM capacity included20 hours
  • Additional PM$40 per hour

On demand

$75

Flexible support for defined tasks, specialist needs, integrations, and short projects.

  • Rate$75 per hour
  • Monthly minimum20 hours
  • AllocationNot dedicated
  • SchedulingBy availability

Both monthly models use a fixed developer rate of $60 per hour and assume 160 hours per month. This reflects a twenty percent commitment benefit against our $75 on demand rate. The managed pod also includes 20 hours of project management at $40 per hour.

Meet the people who could own what comes next.

We will share candidate profiles first. You can interview them before beginning any transition with the current development team.

Let's work together →

What happens next.

We can move carefully without losing momentum. You will meet candidates before changing the current team, and the technical handover will begin only after the right person and commercial model are confirmed.

Candidate profiles

We share2 to 3 candidates
Selected forApplied AI and full stack range
Also screened forCommunication and ownership

Your interviews

You meetEvery finalist
You chooseThe right developer
We confirmRate and start date

Transition preparation

VerifyCredentials and ownership
PrepareHandover checklist
ConfirmAccess and responsibilities

Start together

Week oneAccess and walkthroughs
Week twoPlan and first tickets
ThenFocused product delivery

We recommend beginning with the embedded model because your platform needs continuity, daily founder collaboration, and one person who can build deep product context. The managed pod becomes useful when you want us to own delivery. On demand support remains available for contained work.