Everything GreeLogix publishes to help you plan, validate, and ship — free calculators, engineering guides, and verified project stories.
17 calculators & planners
ExploreVerified project outcomes
Explore150+ shipped products
ExploreProduction readiness score
ExploreEstimate budget, timeline, team, and tech stack for your AI project.
Turn your business idea into a focused MVP scope, roadmap, and tech stack.
Score your organization's AI maturity and get a 90-day automation roadmap.
Assess codebase risk, maintainability, and refactoring priorities.
Generate functional, regression, performance, security, and accessibility test checklists.
Get suggested tables, relationships, indexes, ERD summary, and design principles.
Estimate QA budget, hours, and deliverables for your next release or launch.
Generate starter test cases with IDs, scenarios, and acceptance criteria for any feature.
Draft user stories and acceptance criteria from your product context.
Forecast sprints to clear your backlog with QA allocation and risk buffers.
Plan REST or GraphQL API test cases, security checks, and automation phases.
Estimate MVP development budget, timeline, and what's included vs excluded.
Software Development
AI Strategy
AI Strategy
Vibe Coding
Quality Assurance
AI Strategy
Decision guides with tradeoffs — plus deep-dive blog articles.
Backend stack decision guide
Mobile stack for startups
Prototype vs production build
ROI and ownership tradeoffs
Automation platform fit
Speed vs production quality
Deflection without churn
An honest comparison from an agency that uses all three in production every week. When to pick each one, with real cost and capability numbers.
Both frameworks are mature and shippable. The right choice depends on your team, your design needs, and how AI-heavy your app is. Here's the honest breakdown.
We use both daily to ship client projects. Here's when Lovable beats Cursor, when Cursor beats Lovable, and how the best teams use both together.
A deep technical and financial comparison of voice AI agents vs traditional IVR systems. Latency benchmarks, cost-per-call math, and why modern conversational AI wins for every metric.
CRM-aware support and lead bots
Ecommerce support and ops AI
Einstein-ready custom AI layers
Ticket deflection with escalation
Internal ops and support bots
24/7 conversational commerce
Billing ops and support automation
Production automation stacks
HIPAA-aware product delivery
Multi-tenant billing and roles
Shopify and custom storefronts
Payments, KYC, and compliance
LMS and learning platforms
CRM, listings, and lead routing
Ops automation for agencies
AI deflection without bad UX
Speed-to-lead with CRM writes
Natural voice agents
Production readiness for vibe code
Rescue and stabilize delivery
4–8 week founder launches
Regression without slowdown
Workflow automation ROI
Hands-on testing by experienced QA engineers
Dedicated manual QA for sprint and release cycles
Verify nothing broke after every release
Unscripted testing to find unknown unknowns
Validate features work against requirements
Fast critical-path checks before deeper testing
Targeted checks after bug fixes or hotfixes
User acceptance testing with real business scenarios
iOS & Android testing on real devices
Browser-based testing for SPAs and portals
Multi-tenant, billing, and role-based QA
Pre-launch QA for startup MVPs
Interactive checklists generated from your inputs — not static PDFs.
MVP Planning
Scope Planning
Code Health
Testing Checklists
QA Estimation
Test Cases
User Stories
Sprint Planning
API Testing
Scope, timeline, and cost range — no sales deck. Or start with the free readiness quiz if you are still evaluating your stack.