Dedicated engineering teams
Add an Indonesia-based team to your product roadmap. Agree the roles, capacity, backlog, review process, and shared leadership allocation around the work you need to deliver.
From Indonesia. For what’s next.
Build digital products, extend your engineering capacity, and connect everyday operations with practical automation and controlled AI assistance.
Start with a product goal or one workflow. Our wider website is coming soon.
01 / What we do
For product teams that need capacity, businesses replacing manual work, and agencies looking for a delivery partner. We agree the problem, ownership, and scope before choosing the tools.
Add an Indonesia-based team to your product roadmap. Agree the roles, capacity, backlog, review process, and shared leadership allocation around the work you need to deliver.
Turn a customer experience or business process into a scoped web or mobile product. Work through requirements, implementation, testing, and handover with clear acceptance criteria.
Bring technical direction and project coordination into an existing engagement. Clarify architecture, reviews, priorities, and progress with an explicit shared-leadership allocation.
Connect business tools, reduce repeated handoffs, and explore assistants for permitted information and tasks. From n8n workflows to scoped agent pilots, define access, review, and ownership before automation.
02 / Possible solutions
Illustrative examples, not completed client case studies. These show possible workflows; the right scope, tools, and success criteria are agreed during discovery.
Illustrative use case / Sales operations
Inquiries arrive across tools, details are copied manually, and the next action can get lost.
A scoped n8n workflow could collect approved fields, route the inquiry to an owner, and prepare a follow-up for review. Sending remains a separate authorized step.
Output to scope: workflow map, connector setup, retry rules, and a handover runbook.
Discuss this workflowIllustrative use case / Team knowledge
People need an answer, but knowledge is spread across documents and not every source should be visible to everyone.
Explore an assistant that answers from approved, access-scoped sources and shows citations. Dify or a custom implementation may fit, subject to deployment, licensing, and data requirements.
Output to scope: source inventory, access rules, answer evaluation, and a usable review interface.
Explore a knowledge assistantIllustrative use case / Assisted operations
Research, summaries, and routine coordination take time, but an assistant should not have unrestricted access to business systems.
Pilot Hermes Agent or OpenClaw with isolated execution and limited tools, or use LangGraph for a more tailored workflow. Business-critical actions stay behind explicit permissions and approval.
Output to scope: task boundaries, tool permissions, a tested pilot, and operating guidance.
Scope an agent pilotIllustrative use case / Product delivery
A product or agency team has work to deliver but needs additional engineering capacity and clear coordination.
Agree an engineering team and shared leadership allocation around a defined backlog. Your product owner keeps priorities; delivery roles, reviews, and acceptance stay explicit.
Output to scope: delivery plan, reviewed implementation, test evidence, and source/runbook handover.
Discuss your delivery team03 / How we work
Our delivery model brings client management and technical leadership together, so the dedicated engineering team can focus on execution.
Your point of contact for priorities, scope, planning, and progress. The combined PM + Account Executive role keeps the work connected to your goals.
Technical direction, architecture, reviews, and engineering quality. Shared leadership with an explicit allocation for your engagement.
An Indonesia-based team carrying out the agreed work, with the context and support needed to build, test, and improve your product.
You own the product priorities. Together, we define the scope, team, communication rhythm, and success criteria.
04 / Getting started
You do not need a finished technical specification to start a conversation. Bring the goal, the current process or product, and who owns the next decision.
01 / Understand
Map the goal, users, current tools, constraints, and decision owner. Identify what a useful first result would look like.
02 / Agree
Agree the team or pilot, access boundaries, deliverables, acceptance criteria, commercial terms, and responsibilities before work begins.
03 / Deliver
Implement in reviewable steps, test the agreed flows, and keep decisions, blockers, and scope changes visible to the right people.
04 / Continue
Review acceptance, document operation and ownership, and agree whether to hand over, iterate, or extend the engagement. Ongoing support is separately scoped.
05 / The people behind JWDT
Founder & Head of Engineering
Technical direction and engineering quality, connecting product goals with practical architecture and implementation.
Co-Founder & Head of Client Partnerships & Delivery
Client priorities connected to project execution through partnerships, scope, communication, and delivery planning.
Director
Ideas, out in the world
Explore our apps on Google Play.
06 / Before we talk
Clarity before commitment. The details of an engagement are agreed around your actual needs, not a one-size-fits-all package.
Yes. Start with one well-defined problem, an accountable owner, and a reviewable success criterion. We can discuss a focused pilot before a broader product or automation programme.
No. We start with the workflow and constraints. n8n may fit integration work, Dify a knowledge assistant, LangGraph a custom agent workflow, and Hermes Agent or OpenClaw a controlled assistant pilot. Access, deployment, licensing, and ownership shape the selection.
We assess available APIs, permitted data, technical constraints, and the responsibilities of your existing team. An integration or delivery partnership is scoped around what can actually be accessed and supported.
Permissions and review boundaries are part of the scope. AI can prepare drafts or assist permitted work; sending messages, publishing, financial commitments, access changes, and sensitive people decisions require appropriate authorization and human review.
They depend on complexity, integrations, team allocation, data/security requirements, delivery boundaries, and operating responsibility. The proposal defines inclusions, exclusions, acceptance, and support rather than promising a fixed outcome before discovery.
A short goal, your current process or product, the tools involved, and any timing constraints are enough to begin. Please leave out credentials, confidential client files, and sensitive personal information.
07 / Start a conversation
Tell us what you want to build, improve, or automate. We start by understanding the need, then discuss the team, scope, and next step that could fit.
Helpful context: your goal, current tools or process, decision owner, and any timing constraints. A short brief is enough; no confidential files or credentials are needed.
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