AI adoption that works in everyday business

Practical tasks we work through together

We sit down with the real process. I explain the approach while we build templates, routines or a first working workflow.

Amazon business coaching

Improve product listings, analyze reviews, research keywords and competitors, and create supplier or support templates.

2-4 hours remote or workshop

Email assistance

Create natural response drafts, tone and quality rules, follow-ups, proposal sections and human review checklists.

Remote screen-sharing

PDFs and contracts

Produce source-linked summaries, risk and action lists, document comparisons and clear handoff formats.

Audit or Workflow Day

Marketing and content

Build content ideas, editorial plans, review controls and repeatable prompts for web, social and newsletters.

Half-day workshop

Team onboarding

Train with real examples and establish privacy, source-checking, approval and role-specific prompt libraries.

On site or remote

Local AI workstation

Set up local tools and data folders, explain WorkJinn and MCP, and separate local from approved external processing.

Local-First setup

More details

Specialized setups for Codex, LM Studio and local AI

Codex for developers

Repository orientation, well-scoped tasks, bug fixes, tests, refactoring, reviews and team handoff practices.

Remote setup or team workshop

LM Studio and local models

Installation, model choice, hardware limits, local prompt templates and controlled tests with real files.

Setup day from EUR 1,500

More details

MCP, WorkJinn and tools

Connect AI to defined local tools, files and workflows with explicit permissions and safety boundaries.

Integration from EUR 2,500

Local-first AI for business

Define data classes, operating rules, approvals, controlled file workflows and staff guidance.

Workshop from EUR 3,500

More details

MCP and local AI in practical customer workflows

Local file workflow

Read approved folders, summarize documents, prepare tables, generate text and save reviewed outputs while source data stays local.

Controlled MCP tools

Give AI defined tools instead of unrestricted access. You decide which actions and folders are allowed.

Staff instruction

Teach which data belongs in which AI, when local processing is required and how results must be checked.

Operational rules

Document data classes, approved tools, approvals, prompt rules, records and examples of safe and unsafe use.