Skip to content

Projects Overview

Projects is JetStack AI’s AI-driven workspace for building HubSpot implementations from scratch. Instead of importing assets from a source portal, you describe the business outcome — and an AI agent (Jetty) designs a complete blueprint, generates every supporting asset, and deploys it to your destination portal.

Projects is the right tool when you are starting from a business requirement rather than an existing portal. Common scenarios:

  • New client onboarding — designing a HubSpot setup from a discovery call, process documentation, or revenue model
  • Greenfield builds — standing up a fresh portal with a complete CRM model, automation set, and reporting layer in a single pass
  • Standardising a methodology — turning your firm’s playbook into a deployable blueprint that any team member can apply to a new client
  • Rapid prototyping — exploring what a HubSpot implementation for a specific industry, motion, or process would look like before committing

If you already have a working portal you want to replicate or extend, use Implementations instead — that workflow imports the existing configuration and replays it on a destination.

Every project follows the same four phases. You move through them in order, with explicit approval points so the AI never deploys anything you have not reviewed.

1. Context Gathering

Talk to Jetty in chat, upload process docs, call transcripts, or revenue models. Jetty extracts the business model, current pain points, and target outcomes — and asks for the specific things it needs to design well.

Quickstart →

2. Blueprint Design

Jetty proposes a blueprint: object families, properties, lifecycle stages, automations, and the outcomes each one serves. You can edit it inline, ask for changes in chat, or approve it as-is to advance.

Blueprint Phase →

3. Asset Generation

Once approved, Jetty produces every concrete HubSpot asset the blueprint implies — properties, pipelines, workflows, lists, forms, emails, dashboards, reports, and more. Assets appear in the Assets tab as they are produced.

Asset Generation →

4. Deployment

Review the generated assets, edit anything you want, and deploy. Work is split between the public HubSpot API (properties, pipelines, workflows…) and the Chrome extension (dashboards, reports, snippets…) so the right surface is used for each asset.

Deployment Phase →

A single project can produce a complete HubSpot implementation across the full asset spectrum. Jetty draws on patterns from a large corpus of real HubSpot configurations, so the assets it produces match real-world conventions rather than idealised samples.

CategoryAssets the project can generate
Data modelCustom objects, properties, lifecycle stages, association labels
SalesDeal pipelines, deal stages, sales workflows, lead scoring
MarketingForms, lists (static and dynamic), marketing emails, email sequences
ServiceTicket pipelines, support workflows, playbooks
ReportingDashboards, reports, CRM cards, preview views, goal templates
ProductivitySnippets, task templates

Each asset is fully editable in the Assets tab before deployment. You can ask Jetty for a revision in plain English (“make this workflow only enrol when source = Webinar”) or open the asset’s detail panel and tweak the spec directly.

Projects has two surfaces:

  • Web dashboard — the primary workspace for designing, generating, reviewing, and approving. All four phases live here.
  • Chrome extension — when it is time to deploy assets that require an authenticated HubSpot session (dashboards, reports, snippets, etc.), the extension handles the split-deploy step automatically.

You can switch between them freely. Both surfaces share the same project state, so progress is live in either UI.

ProjectsImplementations
Starting pointA business description or process docAn existing source portal
DriverAI agent designs the assetsYou select assets to import
OutputGenerated blueprint + assetsImported asset library
DeploymentSame destination flowSame destination flow
Best forNew builds, prototyping, standardisingReplication, migration, cloning

The two workflows share the same destination deployment infrastructure, so anything that runs reliably in Implementations runs reliably in Projects.

Projects is AI-driven for every phase, so it has different operational characteristics than Implementations. Before starting a project, review: