Lovable · AI product · Entry · 45 to 60 minutes

Should Lovable make Agent the default?

Lovable is an AI app builder that lets people create full-stack web apps by describing them in plain language. Answer this product management case and get it graded line by line against a weighted rubric.

Product sense
Prioritization
Experiment design
Metric selection
Tradeoff analysis

The situation

It is mid-2025, and Lovable is growing fast with a large influx of non-technical users trying to build MVPs, internal tools, and side projects. The current product already generates code through chat, but many users still get stuck when projects require multi-file edits, debugging, or connecting several steps across the app. The founders, Anton Osika and Fabian Hedin, ask you to recommend how Lovable should launch a new AI Agent that can plan, edit across files, and fix issues with less step by step prompting. Why now: growth is strong, but the team believes long-term retention depends on users successfully building more than toy prototypes. At the same time, Agent mode could raise model costs, create trust issues if the AI changes too much at once, and perform unevenly outside Lovable's core React plus Supabase stack. Assume current first-project success for new users is 40 percent, the Agent prototype raises it to 55 percent on supported projects, and defaulting everyone to Agent would increase inference cost per active new user by 60 percent. You need to advise whether Agent should be the default experience for new users, and how to roll it out.

What to produce

Write a 1 page product recommendation memo, 700 to 900 words.

Your answer must

State the primary user segment you are optimizing for and the core problem you want to solve.
Recommend one launch approach for Agent, default for all new users, optional entry point, or staged rollout, and justify it.
Define 3 to 5 success metrics, including at least one activation metric, one retention or quality metric, and one cost metric.
Describe the MVP rollout plan, including guardrails or limits on where Agent should and should not be used at first.
Identify the top risks, including at least one user trust or safety risk and one business risk, and propose mitigations.

Constraints

Lovable's best supported stack today is React plus Supabase, you cannot assume broad multi-stack reliability this quarter.
AI model usage has meaningful variable cost, your plan must consider margin impact.
Users must keep code ownership and exportability, the solution cannot depend on locking them into a proprietary runtime.
Enterprise security concerns exist, but Lovable does not yet have a mature outbound sales motion or full on-prem offering.

Format

Use headings: goal, user problem, recommendation, rollout, metrics, risks.

How Lovable actually played it

Tells how Lovable went from an open source project to a fast growing app builder, covering users, pricing, funding and risks.

An open source start can seed demand
Non coders are a large market
Competitors and costs are real risks

Built from How Lovable Reached 2.3M Users by catalaize.