01area
Management and decisions
Decision preparation, option analysis, prioritization, meetings, documents, and task assignment for teams or contractors.
- Decisions
- Priorities
- Tasks
AI Hub services
AI consulting for business, leaders, and experts
I help you build AI into everyday workflows — to save time, reduce costs, and open up new commercial opportunities.
The first 30 minutes are free for new clients.
Task areas
Tasks where AI delivers practical impact
AI Hub helps you embed AI in workflows where speed, quality of analysis, and commercial results matter: from management decisions and financial metrics to research, strategy, content, sites, products, and team standards.
02area
Finance, metrics, and business model
Growth scenarios, budgets, revenue and expense analysis, pricing logic, and linking financial metrics to business decisions.
- Budgets
- Metrics
- Scenarios
03area
Market and competitor research
Market sizing, competitor analysis, customer segments, trends, data sources, and validation of market hypotheses.
- Market
- Competitors
- Hypotheses
04area
Strategy and product decisions
Positioning, product logic, offer, roadmap, development priorities, and decisions on launching new directions.
- Positioning
- Offer
- Roadmap
05area
Marketing and expert content
Content systems, articles, newsletters, presentations, communications, and preserving your voice in ongoing work.
- Articles
- Newsletters
- Presentations
06area
Sites, materials, and digital products
Landing pages, service pages, presentations, demos, mini-products, working materials, and other digital deliverables.
- Landing pages
- Materials
- Products
07area
Training and internal knowledge base
Programs, instructions, onboarding, methodology materials, knowledge base, and training staff on real work tasks.
- Instructions
- Onboarding
- Knowledge base
08area
AI processes and team standards
AI use cases by role, rules for working with context, quality checks, and moving from experiments to a system.
- Roles
- Rules
- Quality control
Services
AI Hub services
Each service addresses a specific type of task: from finding your first AI opportunities to setting up workflows, training teams, and creating concrete digital deliverables.
AI opportunity diagnostics
An initial review of the business, role, or team to understand where AI can genuinely add value.
When it fits
You sense AI could be useful, but it is not yet clear which tasks to start with or where the real impact will be.
What we do
- review current tasks, processes, materials, and constraints
- identify recurring tasks, manual work, and points where time is lost
- determine where AI can save hours, reduce costs, or strengthen outcomes
What you keep at the end
- map of AI opportunities
- 3–5 priority scenarios
- a clear next step: consultation, audit, training, or project work
Example"We have lots of ideas about AI, but need to understand which ones are worth testing first."
Audit of AI use in work
A review of current AI practice to improve quality, consistency, and practical value.
When it fits
AI is already in use, but inconsistently: everyone has their own approach, quality varies, and overall impact is unclear.
What we do
- review which tools and scenarios are already in use
- find weak spots: poor context, no verification, duplication, risks
- recommend what to improve, standardize, or add
What you keep at the end
- audit of current AI practices
- list of problems and opportunities
- recommendations for improvement and standardization
Example"The team already uses AI, but results depend heavily on who is doing the work."
Setting up AI workflows
Designing a repeatable process where AI is built into work as a clear, usable tool.
When it fits
You need a stable process for recurring tasks, not a collection of one-off prompts.
What we do
- describe the task, inputs, and desired outcome
- choose tools and define the human role in the process
- set up steps, quality checks, and the format of the final deliverable
What you keep at the end
- repeatable AI workflow
- process guide or template
- clear rules for quality and result verification
Example"We need a process for preparing documents, research, or materials that we can run again and again."
AI for management tasks and decisions
AI as a tool for analysis, decision preparation, documents, meetings, and task assignment.
When it fits
A leader or business owner needs AI for management work.
What we do
- set up scenarios for analyzing options and preparing decisions
- work with financial questions, metrics, documents, and meetings
- help formulate tasks for teams and contractors more clearly
What you keep at the end
- personal management AI workflow
- templates for decisions, meetings, and tasks
- stronger analytical support in everyday work
Example"I need to analyze metrics quickly, structure information, make decisions, assign tasks, and give feedback to the team."
AI for experts and solo businesses
Helping experts turn knowledge into content, materials, pages, products, and working processes.
When it fits
You have knowledge and experience, but lack a system for turning them into working assets on a regular basis.
What we do
- build a process for creating content, materials, presentations, and client documents
- help preserve your voice and quality of thinking
- work through how to use AI for service pages, mini-products, research, and ongoing work
What you keep at the end
- personal AI system for the expert
- process for creating and maintaining materials
- first working templates, structures, or materials based on your tasks
Example"I want to produce articles, presentations, client materials, and service pages faster — while keeping my voice and level of quality."
Team training on working with AI
Practical training for staff on using AI on real work tasks.
When it fits
The team needs to move from individual experiments to a shared practice of using AI.
What we do
- run training on the team's tasks: documents, research, content, communications, analytics
- show how to provide context, verify results, and maintain quality
- define use cases by role and shared working rules
What you keep at the end
- trained team
- set of working scenarios by role
- shared rules for using AI and checking quality
Example"We want employees to use AI systematically, not each in their own way."
AI-assisted creation of sites, materials, and digital products
Guidance in creating specific digital deliverables with AI.
When it fits
You need to create a page, presentation, material, prototype, or digital product — and understand how to maintain it going forward.
What we do
- help move from idea to structure and working materials
- use AI for copy, logic, visual structure, prototyping, and iterations
- bring in a code-first workflow when needed
What you keep at the end
- finished or nearly finished digital deliverable
- clear process for updating it going forward
- skill in working with AI on similar tasks
Example"We need to build a service page, presentation, training material, or prototype — and be able to develop it independently afterward."
Formats
Collaboration formats
A task can be tackled in different ways: in a single consultation, a series of sessions, through an audit, in a team format, or with project support. The format depends on the depth of the task, number of participants, and the outcome you want.
Format depth
1 session
One-off consultation
For a focused review of a task and choosing the next step.
When it fits
When you need to quickly understand where to start and how to apply AI to a specific task.
What's included
One working session, context review, options for applying AI, and next steps.
What you get
A clear action plan and recommendations for getting started.
Format depth
1:1 work
Series of individual sessions
For deeper individual work on embedding AI in recurring tasks.
When it fits
When you need gradual setup of a personal process, not a one-time solution.
What's included
Several sessions, practical work between them, review of results, and adjustments to the approach.
What you get
A configured personal workflow, working templates, and a more stable working system.
Format depth
practice review
Audit
For analyzing how AI is already used in work and finding points for improvement.
When it fits
When AI is already in use, but results are inconsistent or the process is not systematized.
What's included
Review of current scenarios, tools, materials, result quality, and risks.
What you get
List of problem areas, recommendations for improvement, and priority changes.
Format depth
team format
Team training
For practical training of staff on using AI in real tasks.
When it fits
When the team needs to work with AI through a shared approach, not ad hoc and in different ways.
What's included
Workshop or series of sessions on the team's tasks, role-based use cases, and shared quality principles.
What you get
Trained team, unified approach to working with AI, and a set of working scenarios.
Format depth
project
Project support
For tasks where you need not only to understand the approach, but to reach a concrete result.
When it fits
When you need to build a process, page, material, content system, prototype, or other digital deliverable.
What's included
Staged work: structure, materials, iterations, review, and support through to the result.
What you get
A finished or nearly finished deliverable and a clear process for developing it further.
Tools
Tools are chosen for the task
AI Hub is not tied to a single service. For each task, a working set of tools is selected: for analysis, research, copy, documents, code, presentations, team collaboration, or automation. What matters is not the name of the service, but how it fits into the process, what context it receives, and how the result is verified.
- ChatGPT
- Claude
- Gemini
- Perplexity
- Cursor
- Notion
- Google Workspace
- Microsoft tools
- other services
Pricing
Pricing and getting started
The first 30 minutes are free for new clients. After an introductory session, you can choose a format: consultation, audit, series of sessions, team training, or project support.
For project work, pricing is calculated individually — based on the task, expected outcome, and preliminary hour estimate.
FAQ
Frequently asked questions
Short answers on formats, pricing, tools, and what to expect from working together.
Start with AI opportunity diagnostics or an introductory consultation. We will review your work, recurring tasks, materials, processes, and goals, then identify where AI can deliver practical value: saving time, reducing costs, improving quality, or helping launch new directions.
Diagnostics fits if you are still exploring where AI could help. We look at your work and identify the first strong use cases.
An audit fits if AI is already in use. Then we review current practice: which tools are applied, where results are inconsistent, and where rules, quality checks, or stronger scenarios are missing.
Yes. A one-off consultation works for a focused review of a task, choosing a first step, or testing an idea. After that, you can stop at the recommendations or move to a deeper format: a series of sessions, audit, team training, or project support.
AI Hub focuses on consulting, training, and process support. In some formats, we can work together to a finished or nearly finished result: a page, presentation, material, prototype, content system, or digital product. An important part of the work is building a clear process so the client can maintain and develop the result further with AI.
Yes. Team training is built around real work tasks: documents, research, content, communications, analytics, internal materials, and result verification. The goal is for staff to use AI through shared scenarios, rules, and a consistent approach to quality — not ad hoc.
Work is not tied to a single tool. Depending on the task, ChatGPT, Claude, Gemini, Perplexity, Cursor, Notion, Google Workspace, Microsoft tools, and other services may be used. What matters is not the tool name, but how it fits into the process, what context it receives, and how the result is verified.
For most formats, no technical background is required. We start from the task: what needs to be solved, what outcome is needed, and what materials or processes already exist. If the task involves sites, prototypes, or a code-first workflow, technical steps are explained in plain language and broken into stages.
The base rate is $60/hour. The first 30 minutes are free for new clients. For one-off consultations and series of sessions, cost is usually calculated by time. For project work, scope is estimated individually — based on the task, expected outcome, and preliminary hour estimate.
Yes. The specific engagement and documentation format is discussed before work begins.
Briefly describe the task in a request or message on Telegram. After an introductory review, it will be clear whether a single consultation is enough, or whether an audit, series of sessions, team training, or project support is a better fit.
Case studies
How AI workflows look in real projects
Practical breakdowns of content systems, automation, and visual workflows — with the process, tools, and review boundaries behind the result.
Case study
How I Turned the Stavia Models Content System Into a Cursor Cloud Automation Workflow
Cursor Cloud Automation case study: ChatGPT + Cursor workflow, structured queue, repo docs, Vercel preview, and human review for controlled AI content production with cloud agents.
Read case study
Case study
How I built a repeatable AI image system for my LinkedIn posts
A case study on creating a consistent AI-generated visual world for LinkedIn posts: avatar benchmark, recurring AI character, Patagonia setting, prompt rules and review workflow.
Read case study
Case study
How I built an AI-assisted content system for Stavia Models
A behind-the-scenes case study on turning product logic into articles, interactive pages, LinkedIn posts and carousel PDFs with ChatGPT, Cursor and a reusable content workflow.
Read case study