diff --git a/ARCHITECTURE.md b/ARCHITECTURE.md
index 3713b14..34f1cbf 100644
--- a/ARCHITECTURE.md
+++ b/ARCHITECTURE.md
@@ -54,9 +54,11 @@ Autonomous personal assistant with a multi-channel gateway. Three-tier model rou
 3. 202 Accepted immediately
 4. Background: run_agent_task(message, session_id, channel)
 5. Parallel IO (asyncio.gather):
-   a. _fetch_urls_from_message() — Crawl4AI fetches any URLs in message
-   b. _retrieve_memories()       — openmemory semantic search for context
-6. router.route() with enriched history (url_context + memories as system msgs)
+   a. _fetch_urls_from_message()       — Crawl4AI fetches any URLs in message
+   b. _retrieve_memories()             — openmemory semantic search for context
+   c. _fast_tool_runner.run_matching() — FastTools (weather, commute) if pattern matches
+6. router.route() with enriched history (url_context + fast_context + memories)
+   - fast tool match → force medium (real-time data, no point routing to light)
    - if URL content fetched and tier=light → upgrade to medium
 7. Invoke agent for tier with url_context + memories in system prompt
 8. Token streaming:
@@ -90,6 +92,33 @@ Adolf uses LangChain's tool interface but only the complex agent actually invoke
 
 Complex tier is locked out unless the message starts with `/think` — any LLM classification of "complex" is downgraded to medium.
 
+## Fast Tools (`fast_tools.py`)
+
+Pre-flight tools that run concurrently with URL fetch and memory retrieval before any LLM call. Each tool has two methods:
+- `matches(message) → bool` — regex classifier; also used by `Router` to force medium tier
+- `run(message) → str` — async fetch returning a context block injected into system prompt
+
+`FastToolRunner` holds all tools. `any_matches()` is called by the Router at step 0a; `run_matching()` is called in the pre-flight `asyncio.gather` in `run_agent_task()`.
+
+| Tool | Pattern | Source | Context returned |
+|------|---------|--------|-----------------|
+| `WeatherTool` | weather/forecast/temperature/snow/rain | SearXNG `"погода Балашиха сейчас"` | Current conditions in °C from Russian weather sites |
+| `CommuteTool` | commute/traffic/arrival/пробки | `routecheck:8090/api/route` (Yandex Routing API) | Drive time with/without traffic, Balashikha→Moscow |
+
+**To add a new fast tool:** subclass `FastTool` in `fast_tools.py`, implement `name`/`matches`/`run`, add an instance to `_fast_tool_runner` in `agent.py`.
+
+## routecheck Service (`routecheck/`)
+
+Local web service on port 8090. Exists because Yandex Routing API free tier requires a web UI that uses the API.
+
+**Web UI** (`http://localhost:8090`): PIL-generated arithmetic captcha → lat/lon form → travel time result.
+
+**Internal API**: `GET /api/route?from=lat,lon&to=lat,lon&token=ROUTECHECK_TOKEN` — bypasses captcha, used by `CommuteTool`. The `ROUTECHECK_TOKEN` shared secret is set in `.env` and passed to both `routecheck` and `deepagents` containers.
+
+Yandex API calls are routed through the host HTTPS proxy (`host.docker.internal:56928`) since the container has no direct external internet access.
+
+**Requires** `.env`: `YANDEX_ROUTING_KEY` (free from `developer.tech.yandex.ru`) + `ROUTECHECK_TOKEN`.
+
 ## Crawl4AI Integration
 
 Crawl4AI runs as a Docker service (`crawl4ai:11235`) providing JS-rendered, bot-bypass page fetching.
@@ -135,20 +164,24 @@ Conversation history is keyed by session_id (5-turn buffer).
 
 ```
 adolf/
-├── docker-compose.yml      Services: bifrost, deepagents, openmemory, grammy, crawl4ai, cli (profile:tools)
+├── docker-compose.yml      Services: bifrost, deepagents, openmemory, grammy, crawl4ai, routecheck, cli
 ├── Dockerfile              deepagents container (Python 3.12)
 ├── Dockerfile.cli          CLI container (python:3.12-slim + rich)
-├── agent.py                FastAPI gateway, run_agent_task, Crawl4AI pre-fetch, memory pipeline, /stream/ SSE
+├── agent.py                FastAPI gateway, run_agent_task, Crawl4AI pre-fetch, fast tools, memory pipeline
+├── fast_tools.py           FastTool base, FastToolRunner, WeatherTool, CommuteTool
 ├── channels.py             Channel registry + deliver() + pending_replies
-├── router.py               Router class — regex + LLM tier classification
+├── router.py               Router class — regex + LLM tier classification, FastToolRunner integration
 ├── vram_manager.py         VRAMManager — flush/prewarm/poll Ollama VRAM
 ├── agent_factory.py        _DirectModel (medium) / create_deep_agent (complex)
 ├── cli.py                  Interactive CLI REPL — Rich Live streaming + Markdown render
 ├── wiki_research.py        Batch wiki research pipeline (uses /message + SSE)
+├── .env                    TELEGRAM_BOT_TOKEN, ROUTECHECK_TOKEN, YANDEX_ROUTING_KEY (not committed)
+├── routecheck/
+│   ├── app.py              FastAPI: image captcha + /api/route Yandex proxy
+│   └── Dockerfile
 ├── tests/
 │   ├── integration/        Standalone integration test scripts (common.py + test_*.py)
 │   └── use_cases/          Claude Code skill markdown files — Claude acts as user + evaluator
-├── .env                    TELEGRAM_BOT_TOKEN (not committed)
 ├── openmemory/
 │   ├── server.py           FastMCP + mem0: add_memory, search_memory, get_all_memories
 │   └── Dockerfile
diff --git a/CLAUDE.md b/CLAUDE.md
index f7271d9..a0bdbac 100644
--- a/CLAUDE.md
+++ b/CLAUDE.md
@@ -46,10 +46,12 @@ Channel adapter → POST /message {text, session_id, channel, user_id}
                 → 202 Accepted (immediate)
                 → background: run_agent_task()
                     → asyncio.gather(
-                        _fetch_urls_from_message()  ← Crawl4AI, concurrent
-                        _retrieve_memories()         ← openmemory search, concurrent
+                        _fetch_urls_from_message()          ← Crawl4AI, concurrent
+                        _retrieve_memories()                 ← openmemory search, concurrent
+                        _fast_tool_runner.run_matching()     ← FastTools (weather, commute), concurrent
                       )
                     → router.route() → tier decision (light/medium/complex)
+                        fast tool match → force medium
                         if URL content fetched → upgrade light→medium
                     → invoke agent for tier via Bifrost (url_context + memories in system prompt)
                         deepagents:8000 → bifrost:8080/v1 → ollama:11436
@@ -112,6 +114,7 @@ Session IDs: `tg-<chat_id>` for Telegram, `cli-<username>` for CLI. Conversation
 | `openmemory` | 8765 | FastMCP server + mem0 memory tools (Qdrant-backed) |
 | `grammy` | 3001 | grammY Telegram bot + `/send` HTTP endpoint |
 | `crawl4ai` | 11235 | JS-rendered page fetching |
+| `routecheck` | 8090 | Local routing web service — image captcha UI + Yandex Routing API backend |
 | `cli` | — | Interactive CLI container (`profiles: [tools]`), Rich streaming display |
 
 External (from `openai/` stack, host ports):
@@ -134,6 +137,25 @@ Crawl4AI is embedded at all levels of the pipeline:
 
 MCP tools from openmemory (`add_memory`, `search_memory`, `get_all_memories`) are **excluded** from agent tools — memory management is handled outside the agent loop.
 
+### Fast Tools (`fast_tools.py`)
+
+Pre-flight tools that run before the LLM in the `asyncio.gather` alongside URL fetch and memory retrieval. Each tool has a regex `matches()` classifier and an async `run()` that returns a context string injected into the system prompt. The router uses `FastToolRunner.any_matches()` to force medium tier when a tool matches.
+
+| Tool | Trigger | Data source |
+|------|---------|-------------|
+| `WeatherTool` | weather/forecast/temperature keywords | SearXNG query `"погода Балашиха сейчас"` — Russian sources return °C |
+| `CommuteTool` | commute/traffic/arrival time keywords | `routecheck:8090/api/route` — Yandex Routing API, Balashikha→Moscow center |
+
+To add a new fast tool: subclass `FastTool` in `fast_tools.py`, add an instance to `_fast_tool_runner` in `agent.py`.
+
+### `routecheck` service (`routecheck/app.py`)
+
+Local web service that exposes Yandex Routing API behind an image captcha. Two access paths:
+- **Web UI** (`localhost:8090`): solve PIL-generated arithmetic captcha → query any two lat/lon points
+- **Internal API**: `GET /api/route?from=lat,lon&to=lat,lon&token=ROUTECHECK_TOKEN` — bypasses captcha, used by `CommuteTool`
+
+Requires `.env`: `YANDEX_ROUTING_KEY` (free tier from `developer.tech.yandex.ru`) and `ROUTECHECK_TOKEN`. The container routes Yandex API calls through the host HTTPS proxy (`host.docker.internal:56928`).
+
 ### Medium vs Complex agent
 
 | Agent | Builder | Speed | Use case |
@@ -143,7 +165,9 @@ MCP tools from openmemory (`add_memory`, `search_memory`, `get_all_memories`) ar
 
 ### Key files
 
-- `agent.py` — FastAPI app, lifespan wiring, `run_agent_task()`, Crawl4AI pre-fetch, memory pipeline, all endpoints
+- `agent.py` — FastAPI app, lifespan wiring, `run_agent_task()`, Crawl4AI pre-fetch, fast tools, memory pipeline, all endpoints
+- `fast_tools.py` — `FastTool` base class, `FastToolRunner`, `WeatherTool`, `CommuteTool`
+- `routecheck/app.py` — captcha UI + `/api/route` Yandex proxy
 - `bifrost-config.json` — Bifrost provider config (Ollama GPU, retries, timeouts)
 - `channels.py` — channel registry and `deliver()` dispatcher
 - `router.py` — `Router` class: regex + LLM classification, light-tier reply generation