"Prototype the vibe, then ship—code that honors your vision. From moodboard to minimal repo—tasteful by default. Style meets speed—expressive UI without the mess.”
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LLM-Conversation
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Step-by-step guide to build a working prototype in Lovable.dev with LLM integration and Outseta payments. Designed for complete beginners with weekly build plans and copy-paste prompts.
Define success metrics by linking controllable actions to business outcomes. Delivers metric theory, 3 key metrics, targets, data sources, and review cadence with visualization methods.
Create actionable post-launch feedback survey. Includes survey intro, 5 targeted questions, deployment method, and iteration actions tied to feedback signals.
Validate business model through customer discovery, financial modeling, risk assessment, and validation experiments. Runs in 1-2 weeks with actionable metrics.
Trim product to minimal essential features for MVP. Identifies core pain, 2-3 must-have features, deferred features, and minimum success criteria with concrete metrics.
Extract and organize project details from raw notes into a structured Context Slug. Identifies project name, stage, customer personas, value proposition, tech stack, business model, and constraints in 2-3 sentences.
Generate interview questions to validate product demand across 5 customer segments. Creates 2 open-ended questions per segment to uncover needs, pain points, and willingness to pay.
90-day launch plan broken into Pre-Launch, Launch, and Growth phases with specific weekly actions, copy-paste messaging, and metrics tracking for solo founders.
Identify top 3 risks for product MVP launch. Provides risk descriptions, impact/likelihood matrix, mitigation strategies, and monitoring plan with specific metrics.
Rank features by core pain alignment, value impact, and effort. Creates prioritization table with must-haves, optional, and deferred features with justifications.
Outline 8-10 slide pitch deck structure with titles, key points, narrative flow, investor questions, and timing for 10-minute presentation.
Identify 3-5 specific AI side-hustle opportunities buildable in 1-4 weeks with market gaps, target customers, revenue potential, technical complexity, and real examples.
Evaluate risk that major model makers or adjacent players will compete within 12-18 months. Includes threat assessment, entry triggers, and mitigation strategies.
Identify and implement context-appropriate growth levers for scaling AI products to $10K+ MRR. Includes implementation steps, exit scenarios, and key metrics buyers evaluate.
Prepare for tough investor scrutiny with 10 brutal questions exposing weaknesses. Includes honest answers, follow-up attack scenarios, and stress-testing methods.
This produces conversational technical specs by structuring project context, technical approach, scope boundaries, key decisions with tradeoffs, and open questions. It creates pragmatic collaborative documentation that balances implementation speed with technical clarity.
This structures product requirements documents for cross-functional alignment by capturing problem statement, success metrics, user stories, requirements, and technical considerations. It produces clear user-focused PRDs that define why and what while leaving engineering space for how.