AI assistants for customers or internal teams
Build product assistants, support bots, onboarding helpers, internal copilots, and guided user experiences.
AI PRODUCT INNOVATION
Build AI-powered products your users can actually use
DevsCrew builds AI-powered products, assistants, dashboards, and workflow automation tools that solve real business problems and fit naturally into your product.
- AI-assisted workflow automation
- Product-focused AI implementation
- Safe, tested, production-ready AI features
AI support tailored to your product stage
AI powered dashboards and workflows
Turn data into insights, summaries, alerts, anomaly detection, and product intelligence dashboards.
Automated document and content processing
Generate, rewrite, classify, summarize, translate, and organize product, marketplace, or CMS content.
Custom AI features inside your existing product
Add semantic search, recommendations, workflow automation, and custom AI actions to your platform.
Most AI ideas fail because they are not connected to real workflows
Workflow risk
0% 100%
Generic AI without a clear job.
Add fallback and admin review.
Practical AI requires structure and control
We design AI features with clear boundaries, fallback behavior, review flows, and measurable goals so the experience remains useful, controlled, and aligned with your product.
- Unclear user problem
- Poor workflow fit
- Weak prompt/data structure
- No fallback handling
- Missing admin visibility
- No measurable business outcome
From idea to production AI workflow
Discover the workflow
Identify where AI can reduce effort, improve user experience, or unlock a new product capability.
Define the AI use case
Review content sources, user data, documents, APIs, knowledge bases, and integration points.
Design the AI experience
Map prompts, retrieval logic, actions, human review, fallback behavior, and product UI.
Build and integrate
Connect models, APIs, vector databases, automation tools, backend logic, and frontend experiences.
Test, improve, and launch
Evaluate outputs, edge cases, accuracy, latency, user experience, logging, and monitoring.
What you can expect from an AI project
AI product strategy
A practical plan for the AI use case, user value, workflow fit, risks, and implementation path.
UX flow and wireframes
Clear interaction flows for prompts, responses, review states, fallbacks, and user actions.
Prompt and response structure
Structured instructions, response formats, guardrails, and evaluation criteria for useful outputs.
OpenAI / Claude integration
Model integration through reliable backend logic, APIs, permissions, and product-specific context.
Admin controls
Review tools, configuration options, visibility, and controls for managing AI behavior.
User-facing AI interface
Polished product UI for assistants, generation flows, dashboards, search, or automation actions.
Error and fallback handling
Fallback states, safe failure paths, human handoff, and clear messaging when AI cannot help.
Usage analytics tracking
Events, logs, feedback loops, and reporting to understand adoption and improve the AI feature.
AI that supports your product, not random automation
Reliability & UX
- Product context
- Fallback states
- Testing outputs
- Clear AI scope
- Human review paths
- Useful interface patterns
Data & Iteration
- Admin review
- Usage logs
- Feedback loops
- Data access planning
- Permission-aware results
- Prompt tuning
AI tools and technology we work with
AI models
OpenAI Claude Gemini
AI frameworks
LangChain Vector search Embeddings
Product stack
React Next.js Node.js TypeScript
Data stack
Supabase Postgres Pinecone
Automation
Make Zapier
Analytics
Mixpanel PostHog
Integrations
Stripe SendGrid Twilio
Flexible AI product development options
Start with AI discovery, build an AI-powered MVP, or integrate AI into an existing product.
AI Discovery Sprint
From $950
Best for: Teams that need to identify the right AI use case and technical approach.
- AI use-case mapping
- Data and integration review
- Workflow design
- Tool recommendation
- Build estimate
AI MVP Build
From $4,500
Best for: Teams ready to build the first production-ready AI feature, assistant, workflow, or MVP.
- AI product scope
- UX/UI design
- Model/API integration
- Backend and frontend build
- Testing and launch support
AI Innovation Partner
Monthly retainer
Best for: Teams that need ongoing AI product support, automation, testing, optimization, and iteration.
- AI feature roadmap
- Prompt and workflow tuning
- New integrations
- Monitoring and iteration
- Long-term support
Final pricing depends on data sources, model provider, integrations, product complexity, evaluation needs, and launch requirements.
Why build AI features with DevsCrew?
AI works best when it is designed as part of the product, not added as a random chatbot. DevsCrew combines product thinking, UX, full-stack development, automation, and AI implementation to build useful AI features that fit real workflows.
Product-first AI strategy
Practical implementation
AI workflow and UX experience
Safer production-ready systems
Integration with existing platforms
Long-term iteration and support
Can you build a full AI app from scratch?
Yes. We can define the AI use case, design the experience, build the frontend and backend, integrate model providers, test outputs, and launch the product.
Can AI be added to my existing platform?
Yes. We can add AI assistants, search, recommendations, dashboards, content processing, or workflow automation to an existing product.
Do you work with OpenAI and Claude?
Yes. We work with OpenAI, Claude, Gemini, and related AI infrastructure depending on the product requirements and constraints.
Can you help define the MVP scope?
Yes. The discovery sprint is designed to clarify the workflow, MVP boundaries, integrations, risks, and realistic build estimate.
How do you reduce hallucinations and edge cases?
We use scoped prompts, structured response formats, retrieval where useful, fallback states, review flows, logging, and testing against expected edge cases.
Can you build AI workflow automation?
Yes. We can build automations that summarize, classify, route, generate, notify, enrich records, and connect product workflows across tools.
Can you integrate AI into dashboards or admin tools?
Yes. We can build AI summaries, insights, review queues, admin controls, usage analytics, and product intelligence inside dashboards.
Can you provide ongoing AI product support?
Yes. We can support model changes, prompt tuning, feature iteration, monitoring, new integrations, and continuous product improvement.
Ready to build an AI product that actually works?
Turn practical workflows, data, and user needs into AI features that support your product and business.