Guides
Make informed decisions before signing a contract: define scope, compare estimates, select an AI workflow and plan a measurable pilot.
How to commission a website without paying for rework
A reliable website project begins with a business outcome and an acceptance method, not a colour palette or a page count.
- 2 min read
- 5 sections
What a business website costs and what the estimate includes
Website cost follows the number of distinct workflows, integrations and operating requirements more closely than the raw page count.
- 2 min read
- 5 sections
Company website development: scope, schedule and acceptance
A company website must explain the offer, establish trust and move an enquiry into the company workflow. A polished home page alone cannot do that.
- 2 min read
- 5 sections
Building an online store: what a complete project includes
An online store is the entire chain from stock and price to payment, fulfilment, delivery, returns and customer support.
- 2 min read
- 5 sections
SEO for a business website: scope, delivery and measurement
SEO starts by asking whether a search engine can understand a page, whether it answers a distinct customer need, and whether the visit leads to a useful business action.
- 2 min read
- 4 sections
SEO cost: audit, implementation and ongoing work
SEO budgets differ because one site may need indexing repairs while another requires new structure, catalogue templates, migration, engineering, and ongoing editorial work.
- 1 min read
- 4 sections
Web application development: from workflow to first release
A web application fits when a person must submit data, approve, pay, receive a result, or return to saved workflow state—not merely read information.
- 1 min read
- 4 sections
Website UX/UI design: scope, states and acceptance
UX defines journeys and interaction logic; UI defines the visual language and clarity of each screen. Both require real content and engineering constraints.
- 1 min read
- 4 sections
Brand identity for business: system, applications and handoff
Brand identity makes separate materials recognisable as one organisation. A logo matters, but cannot replace typography, colour, composition, imagery, and usage rules.
- 1 min read
- 4 sections
Introducing AI into a business: choosing the first workflow
Business AI implementation begins with a repeatable workflow that has an owner, lawful data, an error cost and a measurable result—not with a model name.
- 1 min read
- 4 sections
AI agents for business: useful jobs and system design
An AI agent is a constrained software workflow that can choose among approved tools; it is not an unrestricted digital employee.
- 1 min read
- 4 sections
The cost of an AI implementation: pilot and operating budget
AI implementation cost is driven by workflow complexity, data quality, integrations and the consequence of error more than by the model brand.
- 1 min read
- 4 sections
Business automation with AI: process mapping and measurement
The best AI automation candidate is found in a queue of repeated reading, transfer and comparison work, not in a model presentation.
- 1 min read
- 4 sections
Conference transcription: producing publication-ready text
Conference transcription combines changing microphones, specialist names, audience questions, overlapping speech and visual information that may exist only on slides.
- 1 min read
- 4 sections
Audio-to-text transcription: formats, quality and review
Converting audio to text is only the first step; the useful output depends on recording quality, editorial rules, timestamps and review.
- 1 min read
- 4 sections
Interview transcription: quotations, speakers and editorial copies
Interview transcription must preserve the boundary between what the subject said and what an editor later made easier to read.
- 1 min read
- 4 sections
AI meeting minutes: separating decisions from summaries
A transcript records what was said; minutes record what was decided. AI may draft the latter, but must not silently convert a suggestion into a commitment.
- 1 min read
- 4 sections
Video captions: timing, formats and accessibility
A transcript is read as a document; captions are read while watching. Accurate words still need short, readable and synchronised cues.
- 1 min read
- 4 sections
Speaker diarisation: identifying who spoke when
Speaker diarisation estimates when the voice changes; it does not inherently know that a voice belongs to Dmitry, the moderator or an audience member.
- 1 min read
- 4 sections
Local audio transcription for sensitive recordings
A local model reduces transmission to a cloud provider, but recordings can still leak through disks, temporary files, logs and backups.
- 1 min read
- 4 sections
AI meeting assistants: transcripts, search and actions
A meeting assistant is valuable when it connects a spoken source to a confirmed decision and next action—not merely when it produces a polished summary.
- 1 min read
- 4 sections
Voice AI agents for business: beyond the demo
A real-time voice agent must hear, reason, speak, handle interruption and use business systems with low delay and bounded authority.
- 1 min read
- 4 sections
Speech analytics for business calls: evidence and evaluation
Speech analytics makes calls measurable, but recognition errors and vague scoring criteria can create unjustified conclusions about an employee.
- 1 min read
- 4 sections
Turning a conference into articles, clips and knowledge
One conference recording can support articles, clips and knowledge search when every derivative points back to a verified source segment.
- 1 min read
- 4 sections
Running an AI agent on company servers: production architecture
Running a model locally is only one component of an on-premises agent; knowledge, tools, identities, audit evidence and safe failure behaviour complete the system.
- 1 min read
- 4 sections
Local AI agents without cloud dependencies
A product described as local may still require remote licensing, model downloads, identity, container registries or telemetry, so autonomy must be tested with connectivity removed.
- 1 min read
- 4 sections
A private AI knowledge base with permission-aware search
A private knowledge system is useful only when answers cite evidence, revoked documents disappear and every user sees only material they are authorised to read.
- 1 min read
- 4 sections
Choosing a server for private AI from measured workload
Size an AI server from model quality, context length, concurrency, latency and availability requirements—not from the model file size or employee count.
- 1 min read
- 4 sections
AI agents in state-owned companies: classification to pilot
State-owned companies should classify each system and its data before choosing a model; ownership alone does not make every service a government information system or CII object.
- 2 min read
- 4 sections
Designing a closed environment for AI systems
A closed AI environment is a verifiable data-exchange boundary, not merely a server in an office.
- 1 min read
- 4 sections
Auditing a local AI agent before production release
Agent acceptance must test the complete chain from evidence retrieval and model decision to authorised action, actual outcome and reconstructable audit record.
- 1 min read
- 4 sections
Building an AI agent with an internal company team
An internal team can build an AI agent on company infrastructure when it is prepared to own data quality, action safety, updates and ongoing operation—not only the prototype code.
- 1 min read
- 4 sections
Building a reliable Telegram bot for business
A useful Telegram bot completes a short business workflow reliably; it is not simply a menu containing every possible command.
- 1 min read
- 4 sections
A Telegram AI bot with an on-premises model
The model and knowledge base can remain on company servers, but every user message still traverses Telegram, so local processing is not equivalent to a fully closed channel.
- 1 min read
- 4 sections
B2B dealer portal: scope, 1C integration and the cost of a first release
What a B2B dealer portal should include, how to design its 1C data exchange, and what determines the cost of a workable first release.
- 4 min read
- 5 sections
AI website consultant grounded in company knowledge: product or custom build?
How to choose an AI website consultant: knowledge sources, answer quality, human handoff, integrations, risks, and implementation cost.
- 4 min read
- 5 sections
Website redesign without losing SEO traffic: what to verify before launch
How to redesign or migrate a website: URL mapping, content, redirects, indexing, analytics, and post-launch control without false guarantees.
- 4 min read
- 5 sections
Taking over an existing website: audit, access and SLA
What to verify when changing suppliers: code, infrastructure, access, restored backups, monitoring, risk backlog, and SLA terms.
- 4 min read
- 5 sections
How websites reach AI answers — and what the evidence shows in 2026
An evidence-based guide to visibility in Google, Yandex Alice AI, ChatGPT, Bing and Perplexity answers: access, citable content and measurement.
- 7 min read
- 8 sections
How to move products from Ozon and Wildberries to your own store
A practical process for combining marketplace listings, variants, images and stock into a product catalog on your own website.
- 3 min read
- 5 sections
Your own store or a marketplace: compare order economics
Compare marketplace fees with the full cost of direct sales: payment, delivery, customer acquisition, support and repeat orders.
- 3 min read
- 5 sections
An online store for a share of sales: when a launch with no upfront development fee can work
How a managed online store with no upfront development fee works: product selection, revenue share, operating costs, store ownership and a measurable pilot.
- 4 min read
- 6 sections
How to compare online store development estimates
How to compare online store development proposals: scope, integrations, exclusions, recurring costs and the conditions for changing the price.
- 5 min read
- 6 sections
How to choose an online store platform
Cloud platform, self-hosted CMS or custom development: choose an online store foundation by trading rules, integrations and maintenance responsibilities.
- 5 min read
- 6 sections
Online store technical specification: what to define before development
How to specify an online store: products, orders, integrations, responsibilities and acceptance conditions that both sides can verify.
- 5 min read
- 7 sections
Integrating an online store with 1C: what to agree before development
Which data to exchange between a store and 1C, where stock is maintained, and how to check orders, reservations and repeated transfers before launch.
- 4 min read
- 5 sections
SEO during online store development: what to include before launch
Search-accessible products, page URLs, filters, markup and catalogue data: which SEO requirements to agree before developing a store.
- 4 min read
- 5 sections
How to accept an online store before launching advertising
How to check orders, payments, delivery, stock and analytics before accepting an online store: scenarios and evidence of readiness.
- 4 min read
- 5 sections
How to earn commission by referring clients to a web studio
How web studio referrals work: who the programme suits, a 10% commission calculation on paid work, client introductions and payment conditions.
- 4 min read
- 6 sections
How a designer can hand website development to a partner
When a design client needs website development: direct studio referrals or managing a project with a partner, design handover and acceptance.
- 4 min read
- 6 sections