ReadyIQ is built for founders, operators, builders, and teams that need practical AI adoption support without a long strategy-only engagement.

ReadyIQ helps teams move from scattered AI experiments to repeatable workflows, focused training, and clear execution plans.

It is both. ReadyIQ combines hands-on tools, structured learning modules, and consulting offers for teams that need deeper implementation help.

No. Many tools and learning paths are designed for non-technical operators and leaders, while more technical modules support builders and implementation teams.

The fastest wins usually come from the scorecard, prompt tools, and guided workflow recommendations. Most teams can identify immediate next steps in one session.

ReadyIQ currently offers Free, Pro at $29 per month, Team at $99 per month, and consulting engagements starting at $999.

The Free tier gives access to core public resources, selected tools, and the AI Readiness Scorecard so teams can benchmark where they stand before upgrading.

Pro is aimed at individual operators and builders who need deeper tool access, saved work, and more repeatable workflows than the free tier provides.

The Team plan is for organizations that want shared workflows, broader access for multiple users, and a more structured rollout than an individual subscription.

No. The assessment is a one-time consulting engagement designed to produce a practical roadmap and clear implementation priorities.

Yes. After the initial assessment, ReadyIQ can scope larger implementation work when a team needs custom automation, training, or deployment support.

Yes. The platform is designed so teams can start with self-serve tools, then move into subscriptions or consulting when they need more leverage.

The assessment reviews your current AI maturity, surfaces operational gaps, prioritizes high-leverage opportunities, and turns that into a clear next-step roadmap.

The assessment is a fast-turn diagnostic. Larger implementation work depends on scope, but ReadyIQ is optimized for execution measured in weeks rather than open-ended strategy retainers.

Services include AI readiness assessments, workflow automation, AI agent design, team training, AI website optimization, and broader transformation support.

No. Startups are a strong fit, but ReadyIQ also supports agencies, operators, service businesses, SaaS teams, and internal innovation leaders.

Yes. The goal is usually to improve the systems you already use rather than force a full-stack replacement project.

You leave with practical recommendations, next-step sequencing, and a clearer implementation path. Follow-on support can be scoped when needed.

Yes. ReadyIQ includes AI website optimization and search-visibility work for teams that want better discoverability and stronger conversion flows.

Yes. Agent design is a core service area, especially when a team needs role clarity, workflow boundaries, and a practical deployment plan.

The onboarding engine is a guided intake that turns a user’s role, goals, blockers, and scorecard context into a personalized learning and tool path.

After onboarding, ReadyIQ recommends a focused set of modules, tools, and next steps so users can start with the most relevant material instead of browsing everything manually.

ReadyIQ currently includes nine modules and more than one hundred micro-lessons covering prompt engineering, AI agents, workflow automation, Claude Code, research, and business rollout.

Yes. The catalog includes beginner, intermediate, and advanced lessons so new users can start safely while experienced teams can move faster.

Yes. The learning system and consulting offers are designed to support team enablement, shared language, and more consistent AI adoption.

Yes. Scorecard results can hand off into onboarding so users move from diagnosis into a personalized learning path instead of stopping at a score.

Yes. ReadyIQ stores completed onboarding profiles so returning users can pick up the same personalized path later.

The app uses Clerk for authentication and resolves the active identity on the server for protected workflows and account-linked features.

Yes. Sensitive API routes are expected to resolve the authenticated user on the server rather than trusting caller-provided IDs in the request body.

Yes. Account-linked data such as saved onboarding state, learning progress, and workspace content can be tied to a signed-in user profile.

Yes. Many public tools and content surfaces work without external integrations, while deeper platform features depend on authenticated access and configured services.

No. ReadyIQ is intentionally model-agnostic so teams can use the stack that fits their workflow, risk profile, and budget.

The portal is being rolled out carefully. Non-live areas are clearly presented as empty states or beta-gated surfaces instead of fake demo workspaces.

ReadyIQ includes public tools such as the AI Readiness Scorecard, prompt enhancement workflows, comparison utilities, and template-driven prompt resources.

It evaluates readiness across five dimensions, then turns the result into a maturity band, category breakdown, and practical recommendations.

Yes. ReadyIQ supports downloadable summaries and a share-card-style result asset so users can share their maturity band and next-step framing.

Prompt Enhancer helps users turn rough instructions into clearer, more structured prompts that can be reused across workflows.

Fleet Builder is for users designing multi-agent workflows, role handoffs, and orchestration patterns when one assistant is not enough.

Yes. The ReadyIQ Chrome extension exists as an install-from-source workflow and is surfaced through the downloads experience while publication work continues.

Start with the AI Readiness Scorecard, then move into onboarding so ReadyIQ can recommend the right learning module and first hands-on tool for your situation.