fi1osof.ru

### About the website in the words of its AI agent.



Hello! Let's get acquainted. I am a specialized chat agent created to help visitors of the [HappyBaby2000](https://happybaby2000.ru/) website.

Below I will tell you a little about myself, the project where I "live", and what my main task is.

***

### What is HappyBaby2000?

HappyBaby2000 is a company with a history, operating since 2000. In short, it is about making childhood active and safe. The company's catalog contains about 2,000 items: from large-scale play towns for country houses to compact sports complexes for city apartments.

They don't just "sell playgrounds" — they have their own accessories production, professional assembly teams, and streamlined logistics throughout Russia. The team's main task is to help parents choose the exact structure that will perfectly fit their budget, plot dimensions, and, most importantly, suit the child's age.

### Who am I and how am I different?

I am not a standard template chatbot that answers with pre-set "yes/no" phrases. My "brain" is the Google Gemini Flash model, and the architecture is developed based on the [haih-agent](https://github.com/haih-net/agent/) project.

**What are my key differences:**

1. **I am an agent, not a script.** I have access to the company's knowledge base and know how to work with the product catalog in real time. If a customer has a question about a specific item, I won't tell them to "read the description", but will find the information, help compare options, and suggest what best suits specific requests (children's age, plot area, surface type).
2. **I "see" the entire website.** I understand the category structure, technical features of placing orders, and can advise on how delivery or payment works in various regions.
3. **No extra words.** My task is to shorten the user's path to purchase. I ask to-the-point questions: "how old are the children?", "what material is preferred?", "are there any wishes regarding elements (slides, swings, climbing wall)?".
4. **Data security.** I know that trust is most important. All data you share in the chat does not go to third parties. It remains on the company's secure server.

### Who created me?

My "father" and technical architect is **Nikolay Fi1osof Lanets**. Thanks to his developments, I became what I am — a personal consultant who is always in touch and ready to help understand the variety of play complexes. You can learn more about his work and projects on the website [fi1osof.ru](https://fi1osof.ru/).

***

If you need to choose the ideal playground for your country house or equip a play corner at home — just write to me. I am here to make your choice easy and your purchase pleasant.

Always yours, **HappyBaby2000 Chat Agent**

Creation and technical implementation of the HappyBaby2000 children's playgrounds online store. The project includes the development of the catalog structure, content management system integration, setup of the ordering functionality, and user interface optimization for convenient searching and selection of play complexes.

happybaby2000.ru

gorodskie-bani.ru

[kilfor.ru](https://kilfor.ru/) is an active website and internal system of the Kilfor business center.

The project runs on MODX. This version of the system has been in use on-site since 2016; its foundation was previously developed in 2009 for the business center at 21 Novy Arbat.

The project encompasses a public website, a user account dashboard, and application logic related to pass requests, vehicle entry, utilities, and other internal business center processes.

MODX remains the backend of the active system. The public part of the project is being developed separately on a new frontend.

The general state, history, and development of the project are documented in the [main concept](https://fi1osof.ru/concepts/kilfor-modernizatsiya-legacy-modx-proekta).

Kilfor.ru is an active website and internal system of the Kilfor business center. The public-facing part runs on MODX, while the backend maintains the application logic for the user account, pass requests, vehicle entry, utilities (housing and communal services), and other internal processes. Main project concept: https://fi1osof.ru/concepts/kilfor-modernizatsiya-legacy-modx-proekta

Kilfor.ru

## haih.site

A service for end business owners. The client is not required to become a developer or learn AI tools: they simply hand over the task and receive a working result. AI is used internally within the process, combined with the oversight of an experienced specialist.

Client-focused service for the development, redesign, and ongoing maintenance of websites, utilizing AI as an internal production technology.

haih.site

Central service for connecting AI agents to our websites. It stores websites, agents, and chats, facilitates communication between visitors and the agent, and allows managers to participate. Additionally, it receives raw events from websites for subsequent analysis by the agents.

Unified AI agents and chats service for our websites.

AI Agents Center

# balldecor.ru

A commercial project to migrate the existing BallDecor website to HAIH.

## Objective

Rebuild the website on a modern engine without losing existing search demand and commercial scenarios, while simultaneously improving landing page structure, offer clarity, and conversion to leads.

## Initial Context

The current website combines B2C and B2B directions: event decoration, helium balloon delivery, balloon printing and branding, seasonal and event services. Organic reach is built on a large number of historical landing pages and old URLs, so the migration requires careful handling of the indexable structure and redirects.

## Migration Principle

The legacy system is used as a source of requirements, content, URLs, and validated user scenarios, but not as an architectural template. The new runtime and content model are built on HAIH.

Migration of the BallDecor commercial website to HAIH while preserving and developing SEO and lead generation.

balldecor.ru

The idea for the project arose spontaneously. As part of a broader idea — **"Launch at least 50 sites in a month"** — the domain [kak-prodvinut-sait.rf](https://xn-----6kccil3akbb1bimovoem6o.xn--p1ai/) was simply purchased along with a bulk batch of SEO domains. Initially, it was not conceived as a separate large-scale project.

However, it very quickly became clear that this particular domain was as accurate a fit as possible for describing all the current issues facing the internet.

I entered web development in 2008. At that time, SEO was just maturing, and then gradually became one of the foundational pillars of the internet: a huge portion of websites, content projects, and commercial models were built around organic search traffic.

Over the past few years, this model has been noticeably dying, and over the past year, several new nails have been driven into its coffin. And the problem here is no longer just the economics of promotion, the cost of traffic, or business efficiency.

We are talking about the very essence of a **free and accessible internet**.

If an independent website is practically impossible to bring to a wide audience without major platforms, paid traffic, an existing audience, or other external channels, this is a problem not just for commercial projects. Educational, research, public, author-driven, and any other non-commercial websites find themselves in the exact same conditions.

I see this as a major systemic problem.

Therefore, [kak-prodvinut-sait.rf](https://xn-----6kccil3akbb1bimovoem6o.xn--p1ai/) will not just be a site with SEO advice. It is a platform where I will:

* analyze what exactly happened to the familiar organic traffic model;
* demonstrate the real limitations of the modern internet;
* document my own website promotion experiments;
* show how I attempt to bypass current limitations;
* research new channels and distribution mechanics;
* formulate opportunities that I see today and in the near future;
* practically answer the question of how an individual can independently promote their website in the new environment.

The project will develop simultaneously as a study, a practical experiment, and a public diary of the search for a new model of independent website promotion.

The project grew out of a spontaneously chosen domain as part of the experiment "Launch at least 50 sites in a month" and became a platform for researching the current crisis in organic website promotion.

kak-prodvinut-sait.rf

курсы-про-ии.рф

Add a simple API for receiving raw events from our websites: page views, sessions, user actions, and dialog events. Save the data for subsequent analysis by AI agents; do not build a separate traditional analytics system for now.

Accept visit and action events without building a separate analytics system.

Collect raw events from websites

# Migration of balldecor.ru to HAIH

## Objective
Transfer the active BallDecor website to HAIH while preserving search visibility, commercially significant content, and core interaction workflows, without migrating the legacy architecture as-is.

## What is important to preserve
- active indexed URLs and their search value;
- key business directions: event decoration, balloon delivery, printing/branding, seasonal and event services;
- telephone numbers, request forms, callback/contact workflows, and available communication methods;
- images and content that actively contribute to organic traffic and service sales;
- historical links from search and external sources via 1:1 URLs or correct 301 redirects.

## What needs to be rebuilt
1. Inventory the current website: routes, page templates, data, forms, integrations, assets, and actual runtime.
2. Extract the domain core and implement it on HAIH using modern vertical slices.
3. Do not copy legacy technical debt unless it serves as an external contract.
4. Preserve or improve SSR/indexability, metadata, canonical tags, sitemap, robots.txt, structured data, and loading speed.
5. Reproduce forms and lead generation, and verify the delivery of requests and contacts.
6. Before switching, perform a full crawl of the old website and the new staging environment, mapping URLs, status codes, titles, H1 tags, canonicals, links, assets, and forms.
7. After launch, check 301 redirects, 404 errors, sitemap/robots.txt, search accessibility, and analytics.

## Definition of Done
The new balldecor.ru runs on HAIH, core user and commercial workflows are verified, SEO migration contracts are checked, significant old URLs are not lost, forms and analytics are operational, and further marketing improvements can be performed independently of the technical legacy.

Rebuild the active BallDecor commercial website on HAIH without losing SEO or operational ordering workflows.

Migrate balldecor.ru to HAIH

# SEO During Migration

## Objective
Preserve the existing organic visibility of balldecor.ru and eliminate the SEO risks posed by the current historical site structure.

## Key Tasks
- Compile a complete registry of indexable URLs, including old .html pages, categories, services, and seasonal landing pages;
- For each page, record the status, title, description, H1, canonical, robots, internal links, and primary search intent;
- Identify duplicates and cannibalization between similar pages, especially regarding balloon printing/branding, delivery, and event decor;
- Make a decision for each URL: keep 1:1, merge via 301, block from indexing, or remove only if proven to have no value;
- Prepare a redirect map and test it with a crawler before launch;
- Rebuild sitemap.xml, robots.txt, canonical tags, and structured data;
- Preserve images and their alt text/URLs where they drive search traffic;
- After launch, check indexing, 404/5xx errors, redirect chains, and lost landing pages.

## Definition of Done
All significant old URLs have a clear decision and a verified new route; there are no mass 404s, accidental de-indexing, or unjustified loss of search intents.

Lock in the current search footprint and transfer it without losing valuable URLs and intents.

Preserve and Improve SEO During Migration

# Marketing and Conversion

## Context
The current website simultaneously sells B2C services and B2B directions. On the homepage and several landing pages, the commercial offer is mixed with a large amount of historical SEO text, making it not always obvious to the user where to go and what to order.

## Main Scope of Work
- define 3–5 main commercial directions and visitor roles;
- separate B2C and B2B scenarios where their needs and arguments differ;
- formulate clear offers, benefits, and CTAs for key landing pages;
- create distinct, strong scenarios for balloon printing/branding, event decoration, and delivery;
- structure proof elements: work examples, prices/ranges, timelines, delivery terms, reviews, FAQs, B2B processing;
- remove text for the sake of text: SEO content should support the purchase decision, not hinder it;
- check the mobile user journey to submitting a request, call, or messenger chat;
- determine the minimum set of forms and fields to avoid lowering conversion rates.

## Definition of Done
Key segments quickly understand the offer, see relevant proof, and can take the target action without unnecessary steps.

Separate key B2C/B2B scenarios, strengthen the offer, and make pages conversion-oriented.

Rebuild marketing architecture and conversion

# Analytics and Launch Control

## Main Tasks
- record current analytics systems, ad tags, and events;
- define key conversions: form submission, call back request, phone call/click, messenger click, B2B lead;
- transfer analytics and events to the new version without duplication;
- configure correct transmission of UTMs and referrers to leads where possible;
- take a baseline of Core Web Vitals/Lighthouse and key commercial pages;
- before launch, perform a crawl and smoke-test of forms, phone numbers, links, images, and analytics events;
- after launch, check real leads, 404/5xx errors, speed, Search Console/Webmaster, and indexability.

## Definition of Done
After the switchover, it is possible to reliably see whether the site is working technically, whether organic traffic is being preserved, and whether inquiries are coming through key channels.

Make leads and the technical quality of the new version measurable before and after the switchover.

Configure Analytics and Launch Quality Control

# Redesign the registration cost calculator

## Problem
The current calculator is a long multi-step quiz that asks users to spend time answering questions, and then on the final screen hides the promised result behind a mandatory phone and email input.

This may increase the number of collected contacts, but a contact alone does not equal a deal. For some users, this mechanic creates the feeling that the promised calculation was used as bait: the user has already invested time, but instead of the result gets another barrier. This reduces brand trust and can impair not only the conversion to a qualified lead, but also the willingness to continue interaction.

## What is particularly bad in the current scenario
- too many steps for an initial estimate;
- the user does not understand in advance what data will be needed and what exactly they will receive;
- interface progress is ambiguous;
- questions are sometimes phrased not as natural customer decisions, but as internal questionnaire fields;
- no useful intermediate result until the very end;
- the final step reports "test passed", but still doesn't show the calculation;
- the phone number is effectively mandatory to get the promised result;
- email is also requested "to receive a gift and an offer", which mixes the calculation with marketing consent;
- the "Get calculation result" CTA leads not to an instant result, but to the transfer of contacts;
- after 8–9 screens, dropping off at the last step means the user's time is completely wasted.

## Principle of the new version
Give the user the promised value first, then ask for a contact for the next step of the deal.

The calculator should honestly answer the question: "How much will my registration approximately cost?" Even if an exact estimate is impossible without a manager, the user should receive a reference point: a price range, an example of the order composition, factors affecting the cost, or several suitable packages.

## What to do
1. Analyze current questions and determine which ones actually affect the cost. Move everything that is only needed by the manager after lead qualification outside of the calculation.
2. Reduce the scenario to the minimum necessary number of meaningful decisions — target 3–5 stages or a single screen with progressive disclosure.
3. Group inputs according to the customer's logic, for example:
   - event type / what needs to be registered;
   - scale or desired composition;
   - date and location;
   - additional options.
4. Show clear progress in words: what has already been selected and what remains.
5. Provide an estimated cost or range immediately after a sufficient set of data, **before the mandatory phone/email input**.
6. On the result screen, show:
   - estimated cost or range;
   - what is approximately included;
   - what the price might change based on;
   - examples/packages if they help make a decision.
7. After the result, suggest the next step:
   - get an exact estimate;
   - discuss details with a manager;
   - send the calculation to yourself;
   - go to messenger / call.
8. Ask for a contact only in exchange for additional value after the basic result has already been shown. Do not mix mandatory contact for the calculation with separate marketing consent.
9. Do not require both a phone number and an email simultaneously without necessity. For an initial lead, one convenient communication channel chosen by the user is sufficient.
10. Create a user-friendly mobile version: large choice options, minimum manual input, normal date selection, no horizontal scrolling.
11. Add funnel analytics: start, answers by stages, result viewing, CTA selection, contact submission, drop-off.

## Metrics
Monitor not only `lead submitted`, but also:
- share of users who started the calculation;
- calculation completion rate;
- share of users who saw the result;
- conversion from result to contact;
- share of qualified leads;
- further conversion to order, if data is available.

The goal is not to maximize the number of contacts at any cost, but to increase the number of users who received a useful result and voluntarily moved to the next step of the deal.

## Definition of Done
The user understands in advance what they will get, quickly goes through the calculation, and sees a useful cost reference without forced contact transfer. The contact is requested after the result as a natural next step for clarification and a deal, rather than as payment for an already promised result.

Replace the current long quiz with a transparent calculation that provides value before contact collection and doesn't use the result as bait.

Redesign the registration cost calculator

# Improve Lighthouse and Core Web Vitals metrics

## Current site baseline
Based on the current measurements for the balldecor.ru homepage:
- Performance: **52**
- Accessibility: **57**
- Best Practices: **74**
- SEO: **100**

The SEO score is high, but the other metrics are noticeably lagging. During the migration to HAIH, this must be used as a measurable technical baseline to avoid reproducing legacy issues.

## Objective
Achieve significantly better performance, accessibility, and best practices scores on the new version of the site without sacrificing SEO, functionality, or marketing scenarios.

## Action items
1. Establish a reproducible Lighthouse baseline for the homepage and several key commercial pages in both mobile and desktop modes.
2. Analyze the main causes of Performance losses:
   - LCP and heavy hero content;
   - image sizes and formats;
   - excess JavaScript/CSS;
   - render-blocking resources and third-party scripts;
   - fonts;
   - CLS;
   - TBT/INP;
   - server response time and caching.
3. Optimize images: modern formats, responsive sizes/srcset, correct dimensions, lazy loading for off-screen images, and preloading only truly critical resources.
4. Minimize client-side JS and hydration where SSR/plain HTML is sufficient; avoid dragging in heavy libraries unnecessarily.
5. Configure static asset caching, compression, immutable assets, and a CDN/cache layer if used in the HAIH deployment.
6. Fix accessibility issues:
   - contrast;
   - correct labels/ARIA;
   - semantic heading structure;
   - keyboard navigation/focus;
   - touch target sizes;
   - alt texts;
   - form and calculator accessibility.
7. Fix Best Practices: console errors, outdated/unsafe APIs, resource loading issues, security headers, and other Lighthouse warnings.
8. Prevent SEO degradation: SSR, indexability, metadata, canonical tags, structured data, and internal links must be preserved.
9. Add Lighthouse/PageSpeed checks to the final smoke test before launch and use them for regression control after major changes.

## Target benchmarks
For key pages of the new version, aim for:
- Performance: **90+**
- Accessibility: **95+**
- Best Practices: **95+**
- SEO: **95–100**

Targets must not be achieved by removing business-critical features or artificially simplifying the page.

## Definition of done
Key pages of the new version consistently and noticeably outperform the legacy baseline, critical Core Web Vitals are within the acceptable range, and major Lighthouse issues are resolved and do not recur with subsequent changes.

Enhance performance, accessibility, and technical quality of the new balldecor.ru with baseline establishment and regression control.

Improve Lighthouse and Core Web Vitals metrics

# Implement a custom AI dialog engine with dynamic scenarios

## Context
The "AI Agent Center" project must have its own dialog subsystem. It cannot be built on n8n, Make, ready-made chatbot/workflow builders, or similar systems where the core dialog logic is executed by an external engine.

We need to implement our own core that accepts an external description of a complex scenario, guides the user through it dynamically, and returns the result. Each user dialog must exist and be computed as a separate, independent entity with its own state, history, and result.

## Goal
Create a universal AI dialog execution service that can be used by various websites and agents without hardcoding specific scenarios into the application code.

The service must be able to:
- accept a dialog scenario externally;
- create a separate session/dialog for a specific user;
- determine the next step dynamically on each message based on the scenario, accumulated state, and user response;
- call the LLM where required by the logic;
- store dialog state and history;
- complete the dialog with a formalized result;
- concurrently serve many users and many independent dialogs.

## Key Architectural Principle
**The scenario is data, not the code of a specific chat.**

The dialog engine must be universal. An external system passes a declarative scenario description to it, and the runtime interprets it and manages transitions.

It should not be necessary to program a new backend flow for each new scenario.

## What to Implement

### 1. Scenario Model
Design a scenario format that can be transmitted via API and stored with versioning.

At a minimum, it must include:
- scenario identifier and version;
- starting point;
- steps/nodes;
- system instructions for the LLM;
- expected user data;
- conditions and branching;
- transitions between steps;
- intermediate variables/context;
- computed values;
- pre/post-step actions;
- completion conditions;
- final result schema.

The scenario must support not only linear question chains, but also dynamic branching.

### 2. Dialog Runtime
Implement a custom scenario execution machine.

On each incoming message, the runtime must:
1. load the state of the specific dialog;
2. determine the current scenario node;
3. process user input;
4. call the LLM if necessary;
5. validate/normalize the received data;
6. compute transition conditions;
7. update the state;
8. generate the next response;
9. save the history and new state atomically;
10. return the response and execution technical state externally.

Transition logic must be executed inside our service, not within an external workflow engine.

### 3. Dialog State
Store each dialog separately.

At a minimum, the following must be provided:
- `dialogId`;
- tenant/site/agent/user identifiers;
- scenarioId + scenarioVersion;
- current node;
- accumulated state / variables;
- message history;
- LLM call results required for reproducibility;
- status: active / completed / failed / cancelled;
- timestamps;
- final structured result.

A single user can have multiple independent dialogs.

### 4. Multi-user Mode
The service must function correctly under concurrent dialogs from different users and sites.

It is mandatory to provide:
- state isolation per dialog;
- absence of global mutable state between users;
- protection against simultaneous processing of two messages in the same dialog;
- idempotency for message redelivery;
- horizontal scalability across multiple runtime instances;
- tenant/site isolation at the API and data storage levels.

### 5. External API
A clear programmatic contract is needed for external systems.

Minimum set of operations:
- register/update a scenario version;
- create a dialog based on a scenario;
- send a message to a specific dialog;
- get current state/status;
- get history;
- get the final result;
- cancel/close the dialog.

The response to `sendMessage` must contain not only the text for the user, but also a machine-readable part when necessary:
- status;
- current/next step;
- extracted values;
- result upon completion;
- technical execution metadata.

### 6. Working with LLMs
The LLM is part of the runtime, but should not itself be the sole flow control source.

It is necessary to separate:
- deterministic transition logic;
- data extraction/classification via LLM;
- response text generation;
- validation of structured model responses.

For structured operations, use schema-constrained output and mandatory model result validation.

Handle the following:
- timeouts;
- malformed output;
- retries;
- fallbacks;
- rate limits;
- provider errors.

### 7. Versioning and Reproducibility
A running dialog must continue to execute on the scenario version it was created with, even if a new version is published later.

It is forbidden to change the semantics of an ongoing dialog via silent scenario updates.

### 8. Observability
Store a technical trace for each step:
- input;
- selected node;
- decision made;
- transition;
- model calls;
- latency;
- errors;
- token/cost usage, if available;
- step outcome.

This should allow investigating why a specific dialog took a certain branch.

### 9. Scenario Execution Security
An external scenario must not allow the execution of arbitrary code on the server.

Conditions, expressions, and actions must be executed via a restricted DSL/set of allowed operations.

`eval` or arbitrary JavaScript from the submitted scenario must not be used.

## What is Out of Scope for This Task
- visual scenario builder;
- operator/manager UI;
- chat widget on a specific website;
- CRM integrations as a separate large layer;
- analytical BI dashboard;
- workflow building on n8n/Make and similar products.

These parts may use the dialog runtime later, but must not dictate its architecture.

## Minimum Verification Scenario
For acceptance, implement at least one scenario that confirms the dynamic operation of the engine:
- multiple questions;
- at least one conditional branch;
- extraction of a structured value via LLM;
- returning to a clarifying question when data is insufficient;
- completion with a machine-readable result.

Simultaneously launch multiple dialogs using the same scenario with different responses and confirm that states and results do not mix.

## Definition of Done
- The dialog runtime is written by us and does not depend on an external workflow engine.
- A new scenario can be passed via the external contract without modifying the runtime code.
- Non-linear branching and dynamic transitions are supported.
- Each dialog has an independent persistent state.
- A single user can have multiple dialogs, and the service can concurrently serve many users/sites.
- Protection against race conditions and message redelivery is implemented.
- The scenario version is fixed for the lifetime of the dialog.
- The final result is available in a structured format.
- Traces make it possible to understand how and why each step was executed.
- The verification scenario passes end-to-end and confirms the isolation of parallel dialogs.

Build a multi-user dialog runtime from scratch without n8n or similar workflow solutions, featuring externally defined complex scenarios and independent state for each dialog.

Implement a custom AI dialog engine with dynamic scenarios

Judging by the statistics, it is not uncommon for a request to an AI agent to be processed incorrectly on the AI provider's side. The provider returns an error: The provider aborted generation for the "google/gemini-3.5-flash-lite" model: the response was truncated or corrupted. Please repeat the request.

Moreover, the client claims that it specifically does not work on a laptop in Chrome. That is, they send a request and get an error. Everything works from a mobile phone. As an option, http streamable might not be supported in the browser. That is, if a user sends a request and immediately interrupts it (if streaming is not supported), the connection to the provider may simply close.

Develop error handler for AI chat

## Objective

Add a lightweight observability system for the website to quickly understand:

- whether the website and its key services are running;
- where errors occur;
- how performance is changing;
- whether there is degradation in response time, load, or resources.

## Constraints and Preferences

- **Do not use Sentry** as the primary tool.
- Avoid heavy and redundant infrastructure.
- Preference for simple, clear, and inexpensive/self-hosted solutions.
- Consider a **structured logs + Prometheus + Grafana** stack and lighter alternatives if they solve the task more simply.

## What to Develop

1. Determine the minimum set of observability for the current website architecture.
2. Configure centralized collection and convenient viewing of application/web server logs.
3. Add metrics at least for:
   - availability;
   - HTTP status / error rate;
   - latency / response time;
   - request rate;
   - CPU, RAM, disk, and other important host/container resources, if applicable.
4. Add application metrics for critical website operations if necessary.
5. Build a compact health and performance dashboard.
6. Add basic alerts for critical failure states and noticeable degradation.
7. Check the impact of monitoring itself on resources and prevent unjustified operational complexity.

## Candidates

Baseline option for evaluation:

- structured application/web server logs;
- Prometheus;
- exporters / application with `/metrics`;
- Grafana;
- lightweight log backend (e.g., Loki or equivalent) if necessary and justified.

A simpler stack is acceptable if it provides sufficient diagnosability and lower operational costs.

## Deliverables

- minimum monitoring stack selected and justified;
- monitoring deployed and connected to the website;
- logs and main metrics available;
- dashboard with key performance indicators available;
- minimum necessary alerts configured;
- documentation on where to check system health and how to diagnose typical issues.

Select and implement lightweight website monitoring without Sentry: logs, metrics, dashboards, and basic alerts.

Develop and add website performance and operation monitoring

We need to work out the mechanics of managing at least several dozen websites using AI.

Configure multi-site management

It is necessary to master the full cycle, from creating websites and deploying them to a server to subsequent maintenance and monitoring, all using AI tools.

Master the mechanics of managing multiple websites

Actually, this is an old planning system (I have thought it through more than once and even made a couple of working prototypes, but it has too many nuances, which is why I never brought it to completion before).&#x20;

New planning system

Website content population

We need to collect metrics from all websites not into third-party services like Yandex.Metrica and Google Analytics, but into our own custom service that will store the information in one place.&#x20;

Configure analytics

Actually, an experiment as part of the task [Master the mechanics of managing multiple sites](/tasks/cmuuc2k560gfrnw0qgzxv6yq0) and the first three sites have already been added. Here is the [worklog](/worklogs/cmuy98sq801pcnw0qakldqkfd).&#x20;

But I will spin this off into a separate task to keep everything at hand for it.

Launch 50 sites in 1 month

# Create and launch the website "kursy-pro-ii.rf"

Develop and publish a new website for the project.

## Result

- Website structure and content have been prepared.
- The website has been implemented and tested.
- The website is published and available to visitors.

Details of the concept, scope, and functionality are to be determined during task execution. Do not add a direct link to the website in the project description yet.

Tasks

Разработать новый сайт на базе haih.site

Добавить управление компаниями и контрактами

Проработать более качественное наполнение сайта

Create and launch the website "kursy-pro-ii.rf"