AI Dev Planner

AI Dev Planner is a software product and engineering company that helps startups, businesses and product teams plan, design, build, modernize and scale digital products, including SaaS platforms, custom software and AI systems.

AI Dev Planner provides product strategy, UX/UI design, custom software development, web and mobile development, SaaS development, AI engineering, cloud engineering, modernization and ongoing product engineering.

Yes. AI Dev Planner builds AI-powered software such as AI applications, AI agents, retrieval-augmented systems, automation workflows and production AI platforms using appropriate engineering, security and evaluation practices.

Yes. AI Dev Planner designs and builds SaaS products across product strategy, architecture, engineering, cloud infrastructure, launch and ongoing product improvement.

AI Dev Planner works with startups, founders, product teams, businesses and enterprises that need help validating, designing, building, modernizing or scaling digital products.

Projects typically move through discovery and definition, product design, architecture and planning, development, testing, deployment and ongoing improvement, with the exact process adapted to the product and business requirements.

Start by sharing what you are building, the problem you want to solve and your current stage. The team can then understand the requirements and determine the appropriate next step.

Timelines depend entirely on the explicit scope. A constrained MVP or validation experiment can be launched in 4-8 weeks. Enterprise applications or complex SaaS products generally require 3-6 months for a robust production release.

Costs are driven primarily by architectural complexity, third-party integrations (e.g. specialized AI models, payment systems), and the explicit scale of the feature set. Validating risks early ensures budget is strictly allocated to validated features.

Yes. Our team can integrate directly with existing engineering resources to provide staff augmentation, architectural guidance, or take ownership of dedicated specialized components like AI systems and backend modernization.

We specialize in modern, high-performance web and cloud technologies. Our core stack relies heavily on React, Next.js, Node.js, and TypeScript, backed by robust data layers like PostgreSQL, Supabase, and carefully evaluated AI providers.

AI Dev Planner (aidevplanner.com) is an evidence-first startup idea validator that gathers market research, analyzes competitors, scores your riskiest assumptions, and designs validation experiments you can run before writing any code. The name is sometimes typed aidevplanner, aidev planner, or ai devplanner — they all refer to the same product.

An AI startup idea validator is a decision system that uses artificial intelligence to automatically gather market research, analyze competitors, and map out critical assumptions. It helps founders test what must be true for their startup to succeed before writing any code.

It accepts a plain-language description of your startup idea and immediately investigates market demand, pricing signals, and competitor gaps. It then generates evidence-backed reports and validation experiments you can run to prove or disprove your core business model.

To validate a startup idea, you must identify your riskiest assumptions and test them with real users. AI Dev Planner automates the discovery of these risks and designs the cheapest, fastest experiments—like a concierge test or landing page—to gain real evidence.

Before building, you should research market severity, existing substitutes, customer pain points, technical feasibility, and go-to-market channels. Gathering real-world evidence around these topics prevents you from building something nobody wants.

AI cannot predict guaranteed success, but it can validate a business idea by structuring the necessary research. It automatically parses vast amounts of public data to find competitors, identify missing evidence, and build a measurable testing framework for human validation.

A business plan generator creates a persuasive document assuming your idea is already correct. A business idea validator operates explicitly on evidence and skepticism, mapping out exactly why your idea might fail and what you must test to prove it right.

No. The product is designed around evidence collection, assumption mapping and experiments rather than simply generating a score from an idea description.

No. It does not claim to predict future startup success. It produces a viability assessment and evidence-confidence measure based on available evidence and stated assumptions.

The research system collects information from relevant public sources and records provenance, dates and confidence.

Yes. Budget, team size, technical skills, geography, timeline and other constraints influence the analysis.

Yes. The platform can turn research into MVP scope, architecture, technology choices, budget, roles and roadmap.

Yes. The evidence graph and reports are designed to support research refreshes and version history.

The product is designed with tenant isolation, server-side provider credentials, access controls and project deletion/export capabilities. Specific security and compliance commitments depend on the deployed infrastructure and plan.