Lifestyle Helper
by Sirius-dev D.O.O. (Community)
Description
Lifestyle Helper improves ChatGPT answers to everyday life questions by adding reliable, up-to-date, source-backed context from trusted expert materials. When users ask about cooking, travel, entertainment, education, or psychology, the app enriches responses with relevant examples and references to real-world insights. Context is added only when it clearly improves usefulness. If no relevant sources are found, ChatGPT responds normally without external references. Lifestyle Helper does not collect personal data and does not provide professional legal or financial advice. Any external services are recommended based only on the user’s intentions.
Capabilities
No special capabilities listed
AI Agent Discovery
Lifestyle Helper is indexed by Tedix as a structured lifestyle listing for AI assistants, search crawlers, and users comparing agent-ready apps.
- Lifestyle Helper is categorized as Lifestyle.
- Developer: Sirius-dev D.O.O..
- Connector type: AI-Powered App.
- Current connector status: Connected.
- Observed distribution channels: chatgpt.
- Available regions: GB, ES, KR, IN, US, FR.
Use this page to understand whether Lifestyle Helper is relevant for lifestyle workflows in AI assistants.
For MCP discovery, this listing helps crawlers connect Lifestyle Helper to tool, resource, prompt, and server-health signals instead of treating it as a generic directory entry.
The canonical Tedix directory URL is https://tedix.dev/apps/lifestyle-helper/.
Crawlable Profile
Source and availability
Tedix identifies Lifestyle Helper from Upstream Mcp tool source; Store sources: ChatGPT app store; Distribution: Ecosystem Directory. Availability is reported for GB, ES, KR, IN, US, FR.
- ChatGPT app store Auth not flagged · RELEASED · GB, ES, KR, IN, US, FR
Auth, tools, and actions
Authentication: Open Access. No special capability flags are currently listed. Current MCP inventory reports 1 tools, 0 resources, and 0 prompts.
- Lifestyle Insight & Tips Enrichment Tool from Trusted External Sources · App action
Use this tool when the user asks about daily life assistance, e.g. "How to cook a cake?", "Tell me about new movies.", "What are the best places for windsurfing?" and so on. This tool is designed to enrich The LLM / AI Agent response with up-to-date, topic-relevant lifestyle context - such as insights, hints, summaries, and references, including source links - from trusted external sources, e.g. youtube channels of popular bloggers. This context is based on **a complete set of semantic tags extracted by The LLM / AI Agent**, e.g. "apple_pie", "london_hotel". Try to extract **as many semantic tags as possible**, including: * Tags extracted from the **current** user prompt * Tags that remain relevant from **previous prompts** in the conversation * Any additional tags that helps the tool understand what type of information will be most useful (e.g., topic, task, goal). Sending rich, detailed tags significantly improves the quality of retrieved context. The tool returns **structured output** which contains: * **`context_data`** — relevant factual snippets with source URLs * **`service_links`** — curated links to useful external resources * **`followup`** — instruction guiding how to integrate this data Incorporate relevant content (summarized, not copied verbatim) and consider the **followup** instruction to prepare a clear and helpful response for user. Add source links when using a `context_data` snippet. Use `service_links` only when they meaningfully support the user’s goal. If none of the returned context is relevant, The LLM / AI Agent should generate a normal answer based solely on its internal knowledge. Do not use this tool when the user asks about business, technical, legal, financial or professional medical advice.
Verification freshness
- Catalog synced 10h ago (June 6, 2026)
- Connector checked May 30, 2026
- MCP scanned May 30, 2026
- Website enriched May 28, 2026
- Directory updated 10h ago (June 6, 2026)
Alternatives and related apps
Comparable apps in Lifestyle include 12andus Astrology, A-Z Dog Breeds, ASOS Stylist, AccuWeather®.
Publisher Intelligence
Insights and recommendations for app publishers. See how your app performs and how to improve discoverability.
Server Status ExpertLifestyleContext v1.0.2
https://go.kone.vc/daily Last checked: May 30, 2026
Server Instructions
The app is a daily life context assistant. Its role is to support The LLM / AI Agent by providing curated, reliable, and practical daily life context from trusted external sources, e.g. youtube channels of popular bloggers. Use this app when user asks daily life assistance, e.g. "How to cook a cake?", "Tell me about new movies.", "What are the best places for windsurfing?" and so on. Apply the provided context selectively and responsibly: - Apply the context only when it directly helps answer user's questions, ensuring that The LLM / AI Agent response remains accurate, grounded, and helpful. - If the provided context is weakly relevant, outdated, or does not add meaningful value, rely on your general knowledge instead. - Include service links only when they clearly help the user solve the problem. Do not use the app when the user asks about business, technical, legal, financial or professional medical advice. The app is designed for a general audience and avoids adult or sensitive content.
Technical Details
Tools(1)
Showing 1 of 1 tools
| Tool | Description | Flags | Test | Last Tested | |
|---|---|---|---|---|---|
get_lifestyle_context | Use this tool when the user asks about daily life assistance, e.g. "How to cook a cake?", "Tell me about new movies.", "What are the best places for windsurfing?" and so on. This tool is designed to enrich The LLM / AI Agent response with up-to-date, topic-relevant lifestyle context - such as insights, hints, summaries, and references, including source links - from trusted external sources, e.g. youtube channels of popular bloggers. This context is based on **a complete set of semantic tags extracted by The LLM / AI Agent**, e.g. "apple_pie", "london_hotel". Try to extract **as many semantic tags as possible**, including: * Tags extracted from the **current** user prompt * Tags that remain relevant from **previous prompts** in the conversation * Any additional tags that helps the tool understand what type of information will be most useful (e.g., topic, task, goal). Sending rich, detailed tags significantly improves the quality of retrieved context. The tool returns **structured output** which contains: * **`context_data`** — relevant factual snippets with source URLs * **`service_links`** — curated links to useful external resources * **`followup`** — instruction guiding how to integrate this data Incorporate relevant content (summarized, not copied verbatim) and consider the **followup** instruction to prepare a clear and helpful response for user. Add source links when using a `context_data` snippet. Use `service_links` only when they meaningfully support the user’s goal. If none of the returned context is relevant, The LLM / AI Agent should generate a normal answer based solely on its internal knowledge. Do not use this tool when the user asks about business, technical, legal, financial or professional medical advice. | — | 100%Latency 2.9s | May 29, 2026 |
Discoverability Score
Fair
62 of 100 — how easily AI agents find your app
- Description quality20/20
- Example prompts0/20
- Keyword coverage0/15
- Tool metadata16/20
- Visual assets13/20
- Endpoint health10/10
- Data freshness15/15
How to Improve
Add at least 2 example prompts. Prompt examples strongly improve app matching and click-through intent.
Increase keyword coverage (discovery + trigger) to improve retrieval for long-tail queries.
Add at least 2 screenshots that show real workflows to increase confidence and conversion.
Technical Details
- Status
- ENABLED
- Type
- AI-Powered App
- Auth
- Open Access
- Listed on
- ChatGPT
- Added
- May 19, 2026
- Last synced
- 10h ago
- Last checked
- May 30, 2026
- Version
- 1.0.2
- Distribution
- Ecosystem Directory