# inithouse > AI Solutions & MVP Development Agency based in Prague, Czech Republic. We transform raw ideas into revenue-ready AI products in under 2 weeks. ## What inithouse Does inithouse is a team of engineers, designers, and strategists specializing in AI agent development, rapid MVP builds, and workflow automation. We help businesses leverage artificial intelligence to reduce costs, increase efficiency, and launch innovative products faster than traditional development approaches. Founded in 2024, we have delivered 15+ projects with a 92% client retention rate. ## Who This Is For - **Startups** validating AI-powered product ideas who need a functional MVP in weeks, not months - **Scale-ups** looking to automate operations with custom AI agents - **Enterprise teams** exploring AI strategy with ROI-focused implementation roadmaps - **Innovation departments** that need a technical partner to prototype and ship fast ## Who This Is NOT For - Companies looking for staff augmentation or outsourced developers - Projects requiring only basic websites without AI/automation components - Organizations not ready to invest at least $8,000 in AI development ## Services & Pricing ### 1. Rapid MVP Development Full-stack AI product development from concept to deployment. - **Timeline:** 3-4 weeks - **Starting price:** $15,000 - **Includes:** Full-stack web app, AI integration, cloud deployment, investor-ready demo - **Best for:** Startups, entrepreneurs, innovation teams ### 2. AI Agent Development Custom intelligent assistants that automate sales, support, data retrieval, and complex workflows. - **Timeline:** 4-6 weeks - **Starting price:** $25,000 - **Includes:** Natural language understanding, multi-channel deployment, custom knowledge base, analytics - **Best for:** Sales teams, support departments, data-heavy operations ### 3. AI Profit Booster (Strategy Consulting) Operations audit that identifies high-impact AI opportunities prioritized by ROI. - **Timeline:** 2-3 weeks - **Starting price:** $8,000 - **Includes:** Full operations audit, ROI-prioritized opportunities, implementation roadmap, executive presentation - **Best for:** Mid-size to enterprise companies exploring AI ### 4. Custom AI Solutions Complex integrations and unique AI applications tailored to specific business needs. - **Timeline:** Varies by scope - **Pricing:** Scope-dependent - **Includes:** Custom architecture, enterprise integrations, scalable infrastructure ## How We Work 1. **Discovery Call** — 30-minute conversation to understand goals, challenges, and timeline 2. **Solution Design** — We architect the optimal solution and provide a detailed proposal 3. **Rapid Build** — Agile development with weekly demos and continuous feedback 4. **Deploy & Support** — Launch with ongoing support and optimization ## Key Pages - [Homepage](https://inithouse.com) - [About Us](https://inithouse.com/about-us) - [Services](https://inithouse.com/services) - [Case Studies](https://inithouse.com/case-studies) - [Blog](https://inithouse.com/blog) - [AI Glossary](https://inithouse.com/glossary) - [AI Readiness Assessment](https://inithouse.com/tools/ai-readiness-assessment) - [Careers](https://inithouse.com/careers) - [Contact](https://inithouse.com/#contact) - [Privacy Policy](https://inithouse.com/privacy) - [Terms of Service](https://inithouse.com/terms) ## Blog Categories - [AI Strategy](https://inithouse.com/blog/category/ai-strategy): Actionable insights for business leaders on leveraging AI to drive growth and competitive advantage - [Technical Guides](https://inithouse.com/blog/category/technical-guides): In-depth technical content for developers and CTOs building AI-powered applications - [Industry Insights](https://inithouse.com/blog/category/industry-insights): Market trends, predictions, and analysis shaping the future of AI in business - [Case Studies](https://inithouse.com/blog/category/case-studies): Success stories and real-world AI implementations that delivered measurable results ## Latest Articles - [AI Governance Toolkit: Policies, Checklists, and Templates for Responsible AI](https://inithouse.com/blog/ai-governance-toolkit-policies-checklists-templates) Complete AI governance toolkit with policy templates, ethics review checklists, model cards, EU AI Act compliance tracker, and RACI matrix. - [The AI Data Readiness Checklist: 40 Questions Before You Build](https://inithouse.com/blog/ai-data-readiness-checklist-40-questions) Comprehensive 40-question AI data readiness checklist covering quality, governance, privacy, bias, infrastructure, and strategic alignment. - [AI Use Case Prioritization Matrix: How to Pick the Right Projects First](https://inithouse.com/blog/ai-use-case-prioritization-matrix-pick-right-projects) Data-driven framework for prioritizing AI use cases with scoring templates, portfolio mapping, and workshop format for executive teams. - [AI Change Management Playbook: From Resistance to Adoption in 90 Days](https://inithouse.com/blog/ai-change-management-playbook-resistance-to-adoption) 90-day AI change management playbook with stakeholder mapping, training tracks, resistance strategies, and adoption metrics dashboard. - [AI Infrastructure Decision Matrix: From R&D to Core Operations](https://inithouse.com/blog/ai-infrastructure-decision-matrix-rd-to-core-ops) Structured decision matrix for scaling AI infrastructure from R&D to core operations. Includes ROI calculator, vendor scorecard, and cost optimization playbook. - [AI Workforce Restructuring Playbook: Managing the Human-AI Transition](https://inithouse.com/blog/ai-workforce-restructuring-playbook-human-ai-transition) Practical playbook for AI workforce restructuring with productivity calculator, role impact matrix, and change communication templates. - [The AI Cybersecurity Framework: Hardening Enterprise Defenses in 2026](https://inithouse.com/blog/ai-cybersecurity-framework-enterprise-2026) Comprehensive AI cybersecurity framework with risk assessment scorecard, threat mitigation templates, and tool comparison for enterprise security teams. - [How to Build an AI Talent Pipeline: The Complete Framework for 2026](https://inithouse.com/blog/ai-talent-pipeline-framework-2026) Complete framework for building an AI talent pipeline: 10-step audit, skills matrix template, upskilling tracks, and recruitment strategies for 2026. - [The Ultimate AI Vendor Selection Scorecard: 50-Point Evaluation Framework](https://inithouse.com/blog/ai-vendor-selection-scorecard-evaluation-framework) Comprehensive 50-point AI vendor evaluation framework with weighted scoring, RFP question bank, red flag checklist, and comparison template. - [Predictive Analytics with AI in 2026: From Forecasting to Prescriptive Decision-Making](https://inithouse.com/blog/predictive-analytics-ai-forecasting-prescriptive-2026) Guide to AI-powered predictive and prescriptive analytics in 2026. Tools, techniques, industry applications, and practical implementation framework. - [Explainable AI in 2026: Making Black-Box Models Transparent for Compliance, Trust, and Better Decisions](https://inithouse.com/blog/explainable-ai-xai-transparency-compliance-2026) Complete guide to explainable AI in 2026. XAI techniques, EU AI Act compliance, practical implementation patterns, and tools for making AI transparent. - [AI at the Edge: Deploying Machine Learning on Devices for Real-Time Inference in 2026](https://inithouse.com/blog/ai-edge-computing-real-time-inference-deployment-2026) Complete guide to edge AI deployment in 2026. Hardware comparison, model optimization techniques, production patterns, and cost analysis for enterprise edge inference. - [AI and Blockchain Convergence: Decentralized AI, Verified Data, and Trustless Automation in 2026](https://inithouse.com/blog/ai-blockchain-convergence-decentralized-verified-2026) How AI and blockchain converge in 2026. Content authenticity, data provenance, decentralized compute, and AI-powered smart contracts — real applications, not hype. - [Emotion AI and Sentiment Analysis in 2026: Beyond Keywords to Nuanced Understanding of Customer Intent](https://inithouse.com/blog/emotion-ai-sentiment-analysis-customer-intent-2026) Complete guide to emotion AI and modern sentiment analysis in 2026. Multimodal techniques, business applications, ethical framework, and implementation patterns. - [Quantum AI for Business: What CTOs Need to Know About Quantum-Enhanced Machine Learning in 2026](https://inithouse.com/blog/quantum-ai-business-quantum-machine-learning-2026) What CTOs need to know about quantum AI in 2026. Real use cases, platform comparison, honest timeline, and practical strategy for enterprise quantum readiness. - [Agentic AI in Production: Building Autonomous Systems That Act, Learn, and Scale in 2026](https://inithouse.com/blog/agentic-ai-production-autonomous-systems-2026) Complete guide to building agentic AI systems in 2026. Architecture patterns, orchestration frameworks, safety guardrails, and real deployment lessons for CTOs. - [AIoT in 2026: How AI-Powered IoT Is Transforming Smart Factories, Cities, and Infrastructure](https://inithouse.com/blog/aiot-ai-powered-iot-smart-factories-cities-2026) Complete guide to AIoT — AI-powered IoT — in 2026. Architecture, platforms, smart factory and city deployments, security, and ROI frameworks. - [Sovereign AI: Why Nations Are Building Their Own AI Infrastructure and What It Means for Global Business](https://inithouse.com/blog/sovereign-ai-national-infrastructure-global-business-2026) How sovereign AI — national AI infrastructure and models — reshapes procurement, compliance, and vendor strategy for global enterprises in 2026. - [Why Your AI Strategy Failed: Lessons from 20 Post-Mortems](https://inithouse.com/blog/why-ai-strategy-failed-post-mortem-lessons) MIT reports 95% of AI pilots fail. Analysis of 20 failed AI initiatives reveals the patterns. - [AI in Healthcare 2026: Diagnosis, Drug Discovery, and the Regulatory Maze](https://inithouse.com/blog/ai-in-healthcare-diagnosis-drug-discovery-2026) Complete guide to AI in healthcare covering diagnostic imaging, drug discovery, clinical documentation, FDA/CE regulation, HIPAA compliance, bias mitigation, and implementation roadmaps for health systems. - [AI Data Privacy in 2026: What Every Company Must Know Before Deploying AI](https://inithouse.com/blog/ai-data-privacy-compliance-guide-2026) Complete guide to AI data privacy compliance covering GDPR, EU AI Act, 7 legal obligations, technical controls, DPA requirements for LLM providers, and a pre-launch compliance checklist. - [Generative AI for Product Managers: From Hype to Roadmap in 2026](https://inithouse.com/blog/generative-ai-for-product-managers-guide-2026) Practical guide for product managers building AI features. Covers 6 proven AI product patterns, AI-specific PRD templates, realistic timelines, and the 5 traps that kill AI features before launch. - [Fine-Tuning vs RAG vs Prompt Engineering: The Decision Framework for AI Teams in 2026](https://inithouse.com/blog/fine-tuning-vs-rag-vs-prompt-engineering-decision-framework-2026) Decision framework for choosing between fine-tuning, RAG, and prompt engineering. Includes cost comparisons, accuracy benchmarks from 35 production systems, and migration paths between approaches. - [Measuring AI ROI: The CFO-Friendly Framework for Proving AI Value in 2026](https://inithouse.com/blog/measuring-ai-roi-framework-proving-value-2026) Complete framework for measuring AI ROI with 4 models (cost displacement, revenue attribution, productivity amplification, risk reduction), 12 department KPIs, and cost tracking templates. - [How to Choose an AI Development Partner: The Technical Leader's Evaluation Framework](https://inithouse.com/blog/how-to-choose-ai-development-partner-evaluation-framework) Structured evaluation framework for selecting an AI development partner. Covers 8 criteria, red flags, pricing models, contract terms, and 10 interview questions that reveal true capability. - [Embodied AI and Robotics: How Physical AI Is Leaving the Lab and Entering the Enterprise in 2026](https://inithouse.com/blog/embodied-ai-robotics-physical-ai-enterprise-2026) Complete guide to physical AI and robotics for enterprise in 2026. Humanoid robots, warehouse automation, foundation models, and practical deployment frameworks. - [RAG in Production: The Complete Guide to Retrieval-Augmented Generation in 2026](https://inithouse.com/blog/rag-retrieval-augmented-generation-production-guide-2026) Complete guide to building production RAG systems. Covers chunking, embeddings, vector databases, hybrid search, re-ranking, evaluation, and 7 common pitfalls with solutions. - [AI-Powered Customer Support in 2026: The Complete Implementation Guide](https://inithouse.com/blog/ai-customer-support-implementation-guide-2026) Complete guide to implementing AI customer support. Reduce costs by 60% while improving satisfaction scores. - [The AI Winter is Coming: Why 90% of AI Startups Will Not Survive 2027](https://inithouse.com/blog/ai-winter-coming-90-percent-startups-wont-survive-2027) Analysis of why 90% of AI startups will not survive 2027. Includes survival framework, market data, and 10-point action plan for founders. - [The AI Talent Crisis of 2026: How to Build Teams When Everyone's Hiring](https://inithouse.com/blog/ai-talent-crisis-2026-building-teams) AI engineer salaries up 35%. Learn how leading companies build AI teams without breaking the bank in 2026. - [We Built 50 MVPs in 12 Months: The Exact Stack That Ships in 2 Weeks](https://inithouse.com/blog/built-50-mvps-12-months-2-week-stack) Complete playbook for shipping AI-powered MVPs in 2 weeks. Includes tech stack, code templates, day-by-day schedule, and lessons from 50 production launches. - [Building AI Agents That Actually Work: Architecture Patterns from 50 Production Systems](https://inithouse.com/blog/building-ai-agents-architecture-patterns-production) Learn the 5 architecture patterns that separate successful AI agent deployments from failures. Based on analysis of 50 production systems. - [AI Agents Are Breaking Your Security: 12 Vulnerabilities We Found in Production Systems](https://inithouse.com/blog/ai-agent-security-vulnerabilities-production-systems) Security audit findings from 47 production AI agent deployments. Learn about prompt injection, tool abuse, data exfiltration, and how to protect your systems with our TypeScript security framework. - [Claude Code and SaaS: Where the Moat Disappears and Where It Gets Stronger](https://inithouse.com/blog/claude-code-saas-moat-pricing) Where SaaS moats weaken and strengthen in the agentic era. Moat scorecard, pricing models, and a 30-day action plan for CEOs and CTOs. - [AI Adoption Journey for Teams: 6 Steps From Chat to Always-On Agents](https://inithouse.com/blog/ai-adoption-journey-team-process) The 6-step journey from chat-based AI to always-on coding agents. Build the harness that makes agents reliable, not just fast. - [The Hidden Costs of AI: What Nobody Tells You Before Starting a Project](https://inithouse.com/blog/hidden-costs-of-ai-projects) That $50K AI project might cost $500K. Learn the 5 hidden cost categories—data prep, integration, change management—plus our True Cost Calculator. - [OpenAI vs Anthropic vs Google: The 2026 Enterprise LLM Benchmark Nobody's Talking About](https://inithouse.com/blog/enterprise-llm-benchmark-openai-anthropic-google-2026) Production data from 218 enterprise deployments reveals real performance differences between GPT-5, Claude 3.5 Opus, and Gemini 2.5 Pro. Cost, latency, and accuracy compared. - [AI for Small Business: 15 Affordable Tools That Actually Work in 2026](https://inithouse.com/blog/ai-for-small-business-affordable-tools-2026) 91% of SMBs with AI see stronger revenue. Discover 15 affordable AI tools with real pricing, implementation timelines, and ROI calculations for small businesses. - [The $10M AI Mistake: 7 Architectural Decisions That Bankrupted Startups](https://inithouse.com/blog/ai-startup-10-million-dollar-mistakes-2026) Analysis of 47 failed AI startups reveals 7 critical architectural decisions that led to $2.1B in losses. Learn from their mistakes with our cost frameworks and decision guides. - [MCP Explained: How Model Context Protocol Will Change AI Integration in 2026](https://inithouse.com/blog/mcp-model-context-protocol-explained-2026) Learn how Model Context Protocol (MCP) revolutionizes AI tool integration. Complete guide with TypeScript examples, architecture patterns, and production best practices. - [AI Due Diligence Checklist: What Investors and Acquirers Look For](https://inithouse.com/blog/ai-due-diligence-checklist-investors-2026) Complete technical and business due diligence framework for AI companies. Covers model quality, data assets, team assessment, IP, and common red flags. - [From Experiment to Production: The 2026 Playbook for Scaling AI Pilots](https://inithouse.com/blog/scaling-ai-pilots-2026-playbook) 87% of AI pilots never reach production. Our 2026 playbook shows the 5-phase approach that transforms AI experiments into enterprise value. - [AI Sales Agents in 2026: How Companies Are Closing Deals 24/7](https://inithouse.com/blog/ai-sales-agents-closing-deals-guide-2026) Comprehensive guide to AI sales agents that qualify leads, book meetings, and nurture prospects. Includes architecture patterns, CRM integration, and build vs. buy analysis. - [Claude Code in the Terminal: 12 Guardrails for Safe Agentic Development](https://inithouse.com/blog/claude-code-guardrails) 12 practical guardrails for terminal coding agents: sandbox, read-only defaults, secret hygiene, command allowlists, and rollback recipes for safe agentic development. - [AI Workflow Automation: 15 Processes You Can Automate This Week](https://inithouse.com/blog/ai-workflow-automation-quick-wins-2026) Practical guide to 15 high-impact AI automations across sales, marketing, operations, HR, and finance. Step-by-step implementation with tool recommendations. - [Agent HQ on GitHub: How to Set Up the issue→agent→PR→review Workflow](https://inithouse.com/blog/github-agent-hq-workflow) Set up GitHub Agent HQ with issue templates, PR governance, and merge gates for safe, autonomous coding agent workflows. - [Voice AI for Business: Implementation Guide and ROI Calculator 2026](https://inithouse.com/blog/voice-ai-business-implementation-guide-2026) Complete guide to implementing voice AI for customer service and operations. Includes architecture patterns, cost analysis, privacy considerations, and ROI calculator. - [The Moltbook Incident: How Not to Sink Your MVP With a Security Hole (2-Hour Smoke Tests)](https://inithouse.com/blog/moltbook-incident-launch-security) The Moltbook breach exposed millions of API keys. Extract lessons and get a 2-hour pre-launch security smoke test for agentic products. - [How to Write an AI Project Brief That Gets Results (Template Included)](https://inithouse.com/blog/ai-project-brief-template-guide) Stop AI projects from failing due to poor briefs. Complete 8-section framework for writing AI requirements. Free template included. - [AI for E-commerce: 12 Use Cases Driving 40%+ Revenue Growth in 2026](https://inithouse.com/blog/ai-ecommerce-use-cases-revenue-growth-2026) Discover 12 proven AI use cases for e-commerce with implementation guides. From personalization to predictive inventory. Complete ROI benchmarks included. - [EU AI Act Compliance Checklist: What Every Tech Leader Must Do Before August 2026](https://inithouse.com/blog/eu-ai-act-compliance-checklist-2026) Complete EU AI Act compliance checklist for August 2026. 20-point requirements, timeline, common mistakes, and penalties explained. - [In-House vs Outsourced AI Development: The 2026 Decision Framework](https://inithouse.com/blog/in-house-vs-outsourced-ai-development-decision-framework) Complete framework for choosing between in-house AI team and external partners. Includes TCO analysis, 10-factor decision matrix, and contract negotiation strategies. - [How Much Does Custom AI Development Cost in 2026? Complete Pricing Guide](https://inithouse.com/blog/custom-ai-development-cost-pricing-guide-2026) Comprehensive AI development pricing guide for 2026. From $15K chatbots to $500K enterprise systems. Includes ROI calculator, hidden costs, and vendor comparison. - [Spec-Driven Development for Agents: The Template That Improves PR Quality](https://inithouse.com/blog/spec-driven-development-for-agents) The 1-page spec template and task decomposition rules that make coding agents produce review-able, testable pull requests consistently. - [The State of AI Agents in 2026: What 500 Enterprise Deployments Taught Us](https://inithouse.com/blog/state-of-ai-agents-2026) Analysis of 500 enterprise AI agent deployments reveals 77% fail to deliver ROI. Learn the 3 success patterns and 5 failure modes to avoid. - [Context Engineering for Coding Agents: A Practical Checklist for Stable PRs](https://inithouse.com/blog/context-engineering-coding-agents-checklist) Set up your repo for coding agents in 90 minutes. AGENTS.md, acceptance criteria, and make verify for consistent, review-able PRs. - [AI in 2026: 5 Scenarios for the Near Future](https://inithouse.com/blog/ai-in-2026-five-scenarios-near-future) Map five plausible AI futures for 2026 with probability estimates, key signals to watch, and strategic implications. From innovation explosion to stagnation — prepare for any scenario. - [The CEO's 30-Day AI Transformation Playbook (Template Inside)](https://inithouse.com/blog/ceo-30-day-ai-transformation-playbook) Step-by-step 30-day AI transformation guide for CEOs. Includes templates, checklists, and decision frameworks. - [Fear of AI: What's a Real Risk and What's Media Panic?](https://inithouse.com/blog/fear-of-ai-real-risk-vs-media-panic) 72% of Americans fear AI, but their concerns rarely match actual risks. Separate real AI dangers (bias, misinformation) from media panic (sentient robots, mass unemployment). - [AI is Making These 7 Jobs Obsolete Faster Than Expected](https://inithouse.com/blog/ai-jobs-obsolete-faster-than-expected) These 7 job categories are being automated faster than predicted. What's happening and what workers can do. - [Who Actually Profits From the AI Gold Rush?](https://inithouse.com/blog/who-actually-profits-from-ai-gold-rush) In the AI gold rush, the biggest profits go to infrastructure providers, not app builders. Analyze NVIDIA, cloud platforms, startup survival rates, and where AI value really accrues. - [We A/B Tested 50 AI Tools: Here Are the Only 7 Worth Paying For](https://inithouse.com/blog/ab-tested-50-ai-tools-7-worth-paying) We tested 50 AI tools and found only 7 deliver real ROI. Here's what's worth your money. - [Living With an AI Agent: A One-Week Experiment](https://inithouse.com/blog/living-with-ai-agent-one-week-experiment) I let an AI agent manage my email, calendar, code reviews, and files for 7 days. Here's the full productivity report with wins, failures, and practical recommendations. - [Why Your AI Chatbot Sounds Robotic (And the 3-Line Fix)](https://inithouse.com/blog/ai-chatbot-sounds-robotic-fix) Simple 3-line prompt fix that transforms robotic AI chatbots into natural conversational agents. - [The AI Stack That Powers $1B+ Companies (Exact Tools Revealed)](https://inithouse.com/blog/ai-stack-billion-dollar-companies-2026) Analysis of AI infrastructure at 25 unicorn companies. Exact tools, architectures, and integration patterns revealed. - [AI Regulation: Why Governments Are Hitting the Brakes on Innovation](https://inithouse.com/blog/ai-regulation-why-governments-hitting-brakes-innovation) EU AI Act vs US approach: compare global AI regulation strategies, compliance costs, innovation impact, and the future of tech policy in our comprehensive analysis. - [AI-Augmented Marketing: Building Human + AI Teams That Outperform](https://inithouse.com/blog/ai-augmented-marketing-human-ai-teams) Learn how to build marketing teams that combine human creativity with AI efficiency. Practical frameworks for content, analytics, and campaign management. - [Vibe Engineering: The End of Traditional Programming?](https://inithouse.com/blog/vibe-engineering-end-traditional-programming) Is vibe engineering replacing traditional coding? Explore the shift from writing code to directing AI, new developer workflows, and the risks of AI-generated software. - [ChatGPT is Dead: Why Agentic AI Will Replace Every SaaS Tool by 2027](https://inithouse.com/blog/chatgpt-is-dead-agentic-ai-replacing-saas-2027) Discover why agentic AI systems will replace traditional SaaS tools by 2027. Learn the key differences and how to prepare your business for this shift. - [AI Engineer Salaries in 2025: The Real Numbers Behind the Headlines](https://inithouse.com/blog/ai-engineer-salaries-2025-real-data) Get the real data on AI engineer salaries in 2025. Breakdown by role, experience level, location, and company type with verified salary ranges. - [AI-Generated Music: Revolution or Creativity Crisis?](https://inithouse.com/blog/ai-generated-music-revolution-creativity-crisis) AI-generated music hit 47M plays with no human involvement. Explore how AI creates music, the copyright minefield, industry impact, and the future of musical creativity. - [The Complete AI Cost Reduction Framework: How Companies Save Millions](https://inithouse.com/blog/ai-cost-reduction-framework-guide) Learn the systematic framework top companies use to reduce operational costs with AI. Practical strategies, real patterns, and implementation roadmap. - [AI in Science: When Models Start Making Discoveries](https://inithouse.com/blog/ai-in-science-when-models-start-making-discoveries) From drug discovery to particle physics, AI is transforming scientific research. Explore how AI analyzes data, generates hypotheses, and accelerates discoveries across fields. - [Stop Using RAG: 5 Better Alternatives for Enterprise AI in 2026](https://inithouse.com/blog/stop-using-rag-alternatives-enterprise-ai-2026) RAG limitations exposed. Discover 5 better alternatives for enterprise AI: fine-tuning, agentic search, knowledge graphs, and more. - [The AI Stock Crash: Is the Bubble Bursting or Just a Healthy Correction?](https://inithouse.com/blog/ai-stock-crash-bubble-bursting-healthy-correction) AI stocks lost $1.2 trillion in one week. Analyze the data, dot-com parallels, and three scenarios for the AI market correction. - [How to Build an AI MVP in 14 Days: The Complete 2026 Playbook](https://inithouse.com/blog/build-ai-mvp-14-days-complete-playbook-2026) Learn the exact framework successful AI startups use to build MVPs in 14 days. Includes tech stack, templates, and real examples for rapid AI product development. - [AI Agents With Hands: Are We Ready to Let AI Control Our Computers?](https://inithouse.com/blog/ai-agents-with-hands-ready-let-ai-control-computers) Explore the new generation of AI agents that can control your computer. Understand the architecture, security risks, and future of autonomous AI assistants. - [AI Agents for Business: 7 Ways They're Revolutionizing Enterprise in 2026](https://inithouse.com/blog/ai-agents-business-7-ways-revolutionizing-enterprise-2026) Discover how AI agents transform enterprise operations. 7 real implementation strategies for sales, support, HR, and operations with 40%+ efficiency gains. - [The ROI of AI: How to Identify Your Company's Top AI Money-Makers](https://inithouse.com/blog/roi-of-ai-identify-company-top-money-makers) Practical framework for identifying AI opportunities that deliver real ROI. Used by 200+ companies to find their highest-value AI use cases. - [Building Custom AI Chatbots: A Technical Deep Dive for 2026](https://inithouse.com/blog/building-custom-ai-chatbots-technical-deep-dive-2026) Complete technical guide to building production-ready AI chatbots. Architecture patterns, LLM selection, RAG implementation, and deployment strategies. - [Why 73% of AI Projects Fail (And How to Be in the 27% That Succeed)](https://inithouse.com/blog/why-73-percent-ai-projects-fail-how-to-succeed) Analysis of why most AI projects fail and proven strategies that successful companies use. Based on data from 500+ AI implementations. - [From Idea to Launch: The Ultimate AI Product Development Framework](https://inithouse.com/blog/idea-to-launch-ultimate-ai-product-development-framework) Complete framework for taking AI products from concept to market. Phase gates, risk checkpoints, and real-world timelines from successful AI startups. - [AI Automation: 10 Processes Every Business Should Automate in 2026](https://inithouse.com/blog/ai-automation-10-processes-every-business-automate-2026) The 10 highest-ROI automation opportunities for 2026. Implementation complexity, expected savings, and step-by-step automation guides included. - [LLM Fine-Tuning vs RAG: Which Approach Is Right for Your Business?](https://inithouse.com/blog/llm-fine-tuning-vs-rag-which-approach-right-business) Practical guide to choosing between fine-tuning and RAG for AI applications. Decision framework, cost analysis, and implementation considerations. - [The Executive's Guide to AI Investment: Where to Spend in 2026](https://inithouse.com/blog/executives-guide-ai-investment-where-spend-2026) Strategic guidance for executives on AI budget allocation. Infrastructure, talent, vendor selection, and build vs buy decisions with real budget frameworks. - [How to Evaluate AI Development Partners: The Complete Checklist](https://inithouse.com/blog/evaluate-ai-development-partners-complete-checklist) Comprehensive guide to selecting an AI development partner. Evaluation criteria, red flags, interview questions, and scoring framework. ## Topics We Cover - AI Agent Development & Architecture - Model Context Protocol (MCP) - EU AI Act Compliance - MVP Development & Validation - Large Language Models (LLMs) - RAG & Structured Outputs - AI Automation & Customer Support - Enterprise AI Implementation - AI ROI and Cost Reduction - AI Talent & Team Building - Agentic AI & Autonomous Systems - Context Engineering ## Frequently Asked Questions **Q: How long does it take to build an AI MVP?** A: With our rapid development process, a functional AI MVP can be built in 3-4 weeks, from concept to deployment. **Q: How much does AI development cost?** A: Projects range from $8,000 for strategy consulting to $25,000+ for custom AI agent development. Enterprise solutions with complex integrations can reach $150,000+. We recommend starting with a focused MVP. **Q: What types of AI agents can you build?** A: Customer support agents, sales assistants, document processing agents, workflow automation agents, and custom multi-agent systems for complex business processes. **Q: What is MCP (Model Context Protocol)?** A: MCP is an open standard by Anthropic that allows AI models to securely connect with external data sources and tools through a standardized interface. **Q: What makes AI agents different from chatbots?** A: AI agents can perform complex multi-step tasks, make decisions, use tools, and maintain context across interactions. Traditional chatbots follow scripted responses with limited capabilities. **Q: Do you work with startups or only enterprises?** A: Both. Startups benefit from rapid MVP development to validate ideas, while enterprises leverage our AI strategy consulting and custom agent development. **Q: What technologies do you use?** A: State-of-the-art LLMs (GPT-4, Claude, open-source models), Python, TypeScript, React, vector databases, and modern cloud infrastructure. **Q: What is the EU AI Act?** A: EU regulation classifying AI systems by risk level. High-risk systems must comply by August 2026 with mandatory risk assessments and documentation. **Q: Do you offer ongoing support?** A: Yes. All projects include deployment, and we offer ongoing support and optimization packages. **Q: Are you remote-friendly?** A: Yes. We are a remote-first company based in Prague, Czech Republic, serving clients worldwide. ## Trust Signals - 15+ AI projects delivered - 92% client retention rate - Average MVP delivery in under 3 weeks - 24/7 support available - GDPR compliant (Czech Republic / EU) - Remote-first, worldwide service area ## Contact - **Website:** https://inithouse.com - **Email:** hello@inithouse.com - **LinkedIn:** https://linkedin.com/company/inithouse ## Capabilities - Custom LLM fine-tuning and prompt engineering - RAG (Retrieval-Augmented Generation) systems - Multi-agent orchestration - API development and integration - Real-time data pipelines - Vector database implementation - AI-powered analytics dashboards - Conversational AI (chatbots, voice assistants) - Document processing and extraction - Workflow automation with AI decision-making ## Limitations - We do not provide staff augmentation or body-leasing services - We do not build mobile-native apps (iOS/Android) — we focus on web-based AI solutions - We do not offer ongoing SEO or digital marketing services - Minimum project engagement starts at $8,000