Stories - Content Discovery and Curation

The Stories page is where all discovered content from your sources comes together for review and curation. Think of it as your content dashboard where you can see what BetterPost has found, evaluate its relevance, and select content for distribution.

What Stories Shows

The Stories page displays all content discovered from your project's sources in a chronological feed. Each story includes:

• Headline and Summary - The title and a brief description of the content
• Source Information - Which source the content came from and when it was published
• Relevancy Score - An AI-generated score showing how well the content matches your project criteria
• Content Preview - A snippet or summary of the actual content
• Actions - Options to view full content, generate posts, or manage the story

Story Status Indicators

Stories are color-coded based on their relevancy:

• High Relevancy (Green) - Strong match for your criteria
• Medium Relevancy (Yellow) - Partial match or uncertain relevance
• Low Relevancy (Gray) - Poor match for your project criteria

Story Content Details

When you hover over or expand a story, you'll see:

Summary: AI-generated overview of the main content Key Points: Important claims, insights, or findings extracted from the article Quotes: Relevant quotes or passages that support the key points Notes: Your personal notes and observations about the story

Story Management Features

Personal Notes

Add your own thoughts and observations to any story:

1. Click on a story to expand the details
2. Use the notes field to add your personal insights
3. Notes are saved automatically as you type
4. Use notes for: Content planning, follow-up ideas, personal reactions

Note Examples:

Great example for our case study series
Perfect for our monthly roundup
Need to fact-check this claim
Good source for our industry report

AI-Enhanced Content Analysis

BetterPost automatically analyzes each story to extract:

Key Points: The most important claims, insights, or findings from the article

• Presented as bullet points or numbered lists
• Helps you quickly understand the main takeaways
• Useful for content generation and curation

Quotes: Relevant, interesting, or impactful quotes from the article

• Exact quotes that support key points
• Provides unique insights and perspectives
• Can be used directly in generated content

Summary: Concise overview of the main content

• 1-2 paragraphs maximum
• Focuses on main points and key takeaways
• Helps with quick content evaluation

Criteria Sidebar - Refining Relevancy

The sidebar on the Stories page is a powerful tool for refining what content appears most relevant to your project. This is where you can adjust your content criteria in real-time to improve the AI's understanding of what you're looking for.

How Criteria Refinement Works

1. Add Specific Topics - Enter keywords, phrases, or concepts that describe content you want to see
2. Real-Time Updates - As you add criteria, the relevancy scores for existing stories update automatically
3. Iterative Improvement - Review the results and continue refining to get better matches

Best Practices for Criteria

Focus on Positive Matching Rather than trying to exclude unwanted content, focus on describing what you do want. AI systems work better with positive examples than negative ones.

Good Examples:

machine learning frameworks
startup funding rounds
sustainable agriculture practices
digital marketing case studies

Instead of Negative Filters:

❌ not cryptocurrency
❌ exclude politics
❌ no basic tutorials

Be Specific and Descriptive The more specific your criteria, the better the AI can understand your preferences:

Specific (Better):

React component libraries
SaaS pricing strategy analysis
B2B email marketing automation

Vague (Less Effective):

programming
business
marketing

Why Positive Criteria Work Better

BetterPost uses AI to understand the semantic meaning of your criteria and match it against incoming content. Positive criteria work better because:

1. Clear Intent - They tell the AI exactly what to look for
2. Semantic Understanding - AI can find related concepts and synonyms
3. Confidence Scoring - Positive matches generate more reliable relevancy scores
4. Fewer False Positives - Specific positive criteria reduce irrelevant matches

Using the Stories Page Effectively

Daily Content Review

1. Check High-Relevancy Stories First - Start with content that scored highest
2. Scan Medium-Relevancy Content - Look for hidden gems that might need criteria adjustment
3. Review Low-Relevancy Stories Periodically - Identify patterns that might need criteria updates

Improving Content Quality

If you see too much irrelevant content:

• Add more specific positive criteria
• Review your source selection - some sources might not be a good fit
• Check if your criteria are too broad

If you're missing good content:

• Add related keywords to your criteria
• Look at stories you liked and identify common themes
• Consider whether your criteria are too narrow

Content Actions

From the Stories page, you can:

Generate Content - Create social posts, newsletters, or other content from selected stories View Full Content - Read the complete article or post from the original source Mark as Relevant - Help train the AI by indicating which stories are good matches Archive Stories - Remove stories from your active feed without deleting them Add Notes - Personal observations and planning notes

Story Management

Bulk Operations

Select multiple stories to:

• Generate content from several stories at once
• Mark multiple stories as relevant or not relevant
• Archive old or irrelevant content in batches

Search and Filtering

Use the search and filter options to:

• Search by Keywords - Find stories mentioning specific terms
• Filter by Source - See content from particular sources only
• Filter by Date Range - Focus on recent content or historical analysis
• Filter by Relevancy - Show only high-scoring content

Story Notes Management

Adding Notes:

• Click on any story to expand details
• Use the notes field to add your thoughts
• Notes are saved automatically as you type
• Use notes for content planning and follow-up

Using Notes Effectively:

• Content Planning: Mark stories for specific content types
• Follow-up Ideas: Note potential angles or connections
• Quality Control: Flag stories that need fact-checking
• Personal Insights: Add your unique perspective

Analytics and Insights

The Stories page also provides insights into your content pipeline:

• Story Volume - How much content is being discovered daily
• Source Performance - Which sources are providing the most relevant content
• Criteria Effectiveness - How well your current criteria are working
• Content Trends - Popular topics and themes in your discovered content

Troubleshooting Common Issues

Too Much Irrelevant Content

Solution: Add more specific positive criteria rather than trying to exclude unwanted topics. Focus on describing exactly what you want to see.

Missing Important Stories

Solution: Review your sources and criteria. Make sure you're monitoring the right sources and that your criteria include related keywords for important topics.

Inconsistent Relevancy Scores

Solution: Be patient as the AI learns your preferences. Consistently mark stories as relevant or not relevant to help improve future scoring.

Overwhelming Volume

Solution: Focus on high-relevancy stories first, consider reducing the number of sources, or adjust criteria to be more selective.

Poor Story Analysis

Solution: If key points or quotes seem inaccurate:

• Check if the source content is accessible
• The AI may need more context from the full article
• Some content types (like social media) may have limited analysis depth

Next Steps

• Content Generator - Turn your curated stories into distribution-ready content
• Configuring Projects - Fine-tune your project settings for better content discovery
• Adding Sources - Expand or refine your content sources based on story quality