How Zagvo works
How does Zagvo work under the hood?
Zagvo holds the thinking layer — understanding, planning, context and review — while your AI builder holds the making layer. The handoff between them is a prompt carrying full project context.
What you’ll learn
- •The separation between planning and building
- •What Zagvo remembers between sessions
- •Why that separation reduces wasted builder credits
- Who this is for:
- Anyone evaluating whether Zagvo fits their workflow.
- Prerequisites:
- None.
Beginner7 min readCore Concepts
How to build your first SaaS
What is the right order to build a SaaS product with AI?
Accounts, then the single core action, then persistence, then billing, then polish. Building billing before the core action is the most common and most expensive ordering mistake.
What you’ll learn
- •A dependency-correct build order for a subscription product
- •Which features to deliberately postpone
- •How to test each layer before stacking the next one
- Who this is for:
- Founders building a multi-user paid product.
- Prerequisites:
- A clear idea of who pays and for what.
Intermediate12 min readPlanning
Choosing between Lovable and Cursor
Should I use Lovable or Cursor?
Lovable suits building a new web product from a description without managing a codebase. Cursor suits working inside code that already exists, with fine-grained control.
What you’ll learn
- •The honest trade-offs of each, including the popular one
- •Signals that you picked the wrong one
- •How to move a project between them without losing the plan
- Who this is for:
- Builders deciding between prompt-first and editor-first tools.
- Prerequisites:
- None.
Beginner9 min readBuilder Integrations
How AI-ready prompts work
What makes a prompt AI-ready?
An AI-ready prompt states the outcome, the context it fits into, the constraints, and what must not change. Vague prompts produce plausible code that solves the wrong problem.
What you’ll learn
- •The four components of a buildable instruction
- •Why 'do not change X' is as important as 'add Y'
- •How context from earlier tasks is carried forward
- Who this is for:
- Anyone whose builder keeps producing near-misses.
- Prerequisites:
- Some experience prompting an AI builder.
Intermediate8 min readAI-ready Prompts
How to structure an MVP
What belongs in an MVP and what does not?
An MVP contains the shortest path to the value your user came for, plus whatever is required to deliver it safely. Everything else is version two.
What you’ll learn
- •How to identify the single core loop
- •A test for cutting a feature without regret
- •Why 'minimum' is about scope, not quality
- Who this is for:
- Builders whose plan keeps growing.
- Prerequisites:
- None.
Beginner10 min readPlanning
Planning before coding
Why plan when an AI builder can just start building?
Because AI builders are fast at producing code and slow at recovering from the wrong architecture. Ten minutes of planning routinely saves hours of regeneration.
What you’ll learn
- •The specific failures that planning prevents
- •How much planning is enough before the first build
- •How to plan without stalling
- Who this is for:
- Builders who prefer to start immediately.
- Prerequisites:
- None.
Beginner6 min readBest Practices
How to switch builders
Can I change AI builders mid-project?
Yes. The plan, context and history live in Zagvo, not in the builder, so switching means regenerating prompts in the new builder's idiom rather than starting over.
What you’ll learn
- •When switching is the right call and when it is avoidance
- •What transfers cleanly and what does not
- •How to carry existing code across
- Who this is for:
- Builders hitting a ceiling with their current tool.
- Prerequisites:
- An in-progress project.
Intermediate7 min readBuilder Integrations
Common beginner mistakes
What do first-time AI builders get wrong most often?
Building features before deciding the core loop, prompting without context, and treating a running prototype as a finished product. All three are recoverable if caught early.
What you’ll learn
- •Nine mistakes, each with the fix
- •The warning signs that appear before each one
- •How to audit a project you have already started
- Who this is for:
- Anyone in their first few AI-built projects.
- Prerequisites:
- None.
Beginner8 min readBest Practices
Understanding project memory
What does Zagvo remember about my project?
Decisions, constraints, the shape of your product, and what you have already built. That memory is what stops you re-explaining your product at the start of every session.
What you’ll learn
- •What gets stored and what does not
- •How decisions are captured from conversations
- •How to correct memory when your direction changes
- Who this is for:
- Builders returning to a project after a break.
- Prerequisites:
- An existing project.
Intermediate7 min readMemory
Preparing for launch
What should I check before launching?
Sign-up and sign-in, the core action end to end, payment if you charge, error and empty states, data handling, and a reachable public URL.
What you’ll learn
- •A pre-launch checklist you can work through in an afternoon
- •Which failures users forgive and which they do not
- •How to verify the destination before announcing it
- Who this is for:
- Builders within a week of shipping.
- Prerequisites:
- A working product.
Intermediate9 min readLaunch Readiness
