Make weekly instruction review more manageable
Use a weekly pass to examine sentence relationships in instructions that have been difficult to act on.
Trigger
Recurring schedule
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Action
Extract Grammatical Relations from Text
This tool extracts grammatical relations between words in the text. it identifies the relationships between different parts of sentences, including subjects, objects, and predicates. the relations extractor provides detailed syntactic analysis of the text.
Why this helps
Unclear instruction structure can slow the next step when you return to a prompt or plan days later.
- Extract grammatical relations from submitted instructions.
- Make subjects, objects and predicates easier to inspect.
- Reduce the effort of decoding a dense plan.
Setup
Build it in a few focused steps.
- 1Connect Gemini and TextRazor to Notis once in the portal.
- 2Create an automation in the portal or tell Notis what the weekly review should do.
- 3Use one plain-language instruction to extract grammatical relations from submitted Gemini instructions.
- 4Select a weekly schedule and a channel for run reports.
- 5Test with one instruction you expect to revisit.
Questions about this workflow
Does this turn sentences into assigned tasks?
No. The action analyzes grammatical relationships; it does not create or assign tasks.
What text can the analysis use?
Provide the Gemini instructions in the run context or send them through a webhook.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Gemini to Textrazor. A trigger fires from one place; an action lands in another.
Gemini triggers
Textrazor actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Get Account Information
This tool retrieves comprehensive information about a textrazor account, providing essential details about the account's status, usage, and limits. it returns an account object containing properties such as the current subscription plan, concurrent request limits, and daily usage among others, making it crucial for monitoring api usage, managing requests, and ensuring compliance with subscription limits.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Classify Text
This tool will classify text into predefined categories using textrazor's classification capabilities. it takes input text, optional cleanup mode and language, and returns a list of relevant categories with their confidence scores from the analysis. the tool supports various built-in classifiers including: - textrazor iab: iab qag segments - textrazor iab content taxonomy 3.0: iab content taxonomy v3.0 (2022) - textrazor mediatopics 2023q1: latest iptc media topics (march 2023) - and other versions of these taxonomies
Manage Custom Classifiers
This tool manages custom classifiers in textrazor, allowing users to create, update, and manage custom classification categories.
Analyze Dependency Trees
The dependencytreesaction analyzes the grammatical relationships between words in text by creating dependency trees. it provides detailed syntactic analysis by identifying the grammatical relationships between words and their parent words in a sentence. this tool is useful for: - understanding sentence structure - analyzing grammatical relationships - parsing complex sentences - supporting advanced linguistic analysis tasks
Dictionary Manager
The textrazor dictionary manager tool allows users to create, update, and manage custom entity dictionaries in textrazor. it provides endpoints for creating/updating dictionaries, listing dictionaries, getting a specific dictionary, and deleting dictionaries, as well as managing the entries within these dictionaries (adding, retrieving, and deleting entries).
Extract Entailments from Text
This tool extracts entailments from text using textrazor's api. it identifies words or phrases that can be logically inferred from the given text by analyzing logical implications and relationships.
Extract Named Entities from Text
Extract named entities (people, places, companies, etc.) from text using textrazor's entity extraction api. the tool will identify and classify named entities within the provided text, returning detailed information about each entity including its type, confidence score, and relevance score.
Extract Phrases from Text
The extractphrases action extracts meaningful phrases from input text using textrazor's phrase extraction capability. it analyzes text to identify important phrases and multi-word expressions that aid in tasks like content analysis, keyword extraction, and summarization.
Connect any two apps with Notis in the middle.
Gemini and Textrazor, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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