Our Services

1. PRD Creation (Free)

Use our multi-agent AI workflow tool to create your comprehensive Product Requirements Document. The team of agents progressively convert product ideas into a comprehensive Product Requirements Document (PRD) formatted as structured data (JSON). This is done through a series of steps including:

• interviewing to gain clarity;
• writing user stories;
• creating requirements;
• writing specifications;
• and providing a cost estimate.

That structured scope is also the Estimate and Planning layer of App Developer Studio's delivery playbook. We can then set up a free call to discuss next steps to see if you are interested in our other services.

2. Requirements As A Service (Subscription Tiers)

Download your PRD JSON as CSV and access the live document through our portal so you can update it, improve it (adding for example competitor analysis and acceptance criteria). You can also connect your preferred AI coding tool to ChatStack via @chatstack/mcp (personal access token from the portal; stdio or hosted) so it can read and write packs, run Improve/Build, and drive Interview tools. We also add project planning prompt templates to support this process so your own development team gets off to a flying start.

Additionally we can manage future product enhancements by updating the PRD through strict version control and sharing these changes with your coding platform.

3. Consulting (Hourly Rate)

Consulting helps your team ship from a ChatStack PRD. Full-service delivery (section 4) is when App Developer Studio runs the playbook end-to-end for you.

Product & engineering workshops

Our team runs workshops with your product and development teams to turn the PRD into a comprehensive development plan. Typical work includes Cursor Plan Mode sessions, project-specific Cursor rules (including .cursorrules), PRD-driven AI coding practices, and two-way sync with Jira via the Atlassian MCP so agents stay aligned with acceptance criteria.

Enterprise AI consulting

When the question is broader than a single app — where AI pays off across operations — App Developer Studio runs a bottleneck-first engagement: surface adoption barriers as a first-class workstream, measure outcomes your teams already track (completed features, cycle time — not tokens), then build bespoke multi-agent systems. Read the full framework on Enterprise AI Consulting.

Weaver

Case study on the ADS site — engineering intelligence across Cursor, Jira, GitHub, Figma, Slack, and Google Workspace.

4. Full Service Design and Development (Fixed Cost)

App Developer Studio's core service is designing and developing complete software projects end-to-end. We refine the scope and estimate from ChatStack into an agreed fixed-cost quote, then deliver through a nine-phase AI-accelerated playbook. Over 95% of ADS's own code is now AI-assisted — so the bottleneck is deciding precisely what to build, which is why ChatStack sits at the start.

The delivery playbook

1. 01Estimate

   Structured scope, recommended stack, and a detailed cost estimate in ChatStack — minutes, not weeks of back-and-forth.

   • ChatStack
2. 02Design

   User flows, wireframes, and high-fidelity prototypes in Figma (Make and auto-prototype), with Stitch by Google Labs for early UI exploration.

   • Figma
   • Stitch
3. 03Planning

   Approved stories, requirements, and tech specs in ChatStack, plus Cursor Plan Mode workshops that produce the ERD, Jira tickets with acceptance criteria, and implementation prompts.

   • ChatStack
   • Cursor
4. 04Project management

   Two-way Cursor ↔ Jira sync via the Atlassian MCP; standup and client-call transcripts turned into Slack actions and email minutes with Gemini-powered agents; Weaver for utilisation and delivery-risk visibility across Cursor, Jira, GitHub, Figma, Slack, and Google Workspace.

   • Jira
   • Slack
   • Gemini
   • Weaver
5. 05Development

   Engineers in Cursor with coding standards, sub-agents, automated testing scripts, and security rules. Figma MCP imports designs; Supabase MCP applies backend security rules and audits before ship.

   • Cursor
   • Figma
   • Supabase
6. 06Observability & testing

   PostHog for full-stack analytics, session replay, funnels, and performance. Patrol runs UI tests on real devices and emulators; failures loop back to Cursor agents for fix-and-retest.

   • PostHog
   • Patrol
7. 07Bug reporting

   Clients report bugs with a shake or tap. Shakebug creates Jira tickets and attaches PostHog session data so issues reproduce without a long email thread.

   • Shakebug
8. 08Deployment

   Mobile apps to the App Store and Google Play via the Codemagic MCP from Cursor. Web apps to staging and production on Vercel.

   • Codemagic
   • Vercel
9. 09Maintenance

   PostHog monitors performance and crash logs in real time. Critical issues surface as Jira tickets so the team can respond before users escalate.

   • PostHog