What Is AI Blog Writing? Benefits, Tools, and Best Practices

A few months ago, a blogger we spoke with said something that probably sounds familiar:

“I know what I want to write… but I’m exhausted before I even open WordPress.”

The ideas were there. The motivation wasn’t.

Between researching keywords, analyzing competitors, structuring outlines, writing drafts, optimizing for SEO, and staying consistent, blog writing has quietly turned into a full-time job. And if you’re a content marketer or WordPress user, you’ve likely felt that pressure too.

Posting less means losing rankings. Posting faster often means sacrificing quality. Either way, burnout creeps in.

That’s exactly where the conversation around AI blog writing begins, not as a shortcut, but as a lifeline.

In this blog, we’ll walk through how AI is changing the way blogs are researched, written, and published, especially inside WordPress. You’ll see how bloggers are creating high-quality content faster, how marketers are maintaining consistency without stress, and how the right AI workflow turns chaos into clarity.

By the end, you won’t just understand AI blog writing, you’ll know how to use it wisely, avoid common mistakes, and build a writing process that actually works for you.

What Is AI Blog Writing?

AI blog writing is the process of creating blog content using Generative AI, where Large Language Models such as GPT-4o, Claude 3.5, and Gemini 1.5 analyze search intent, organize content structure, and generate SEO-friendly drafts using Natural Language Processing and Transformer Architecture.

Unlike basic AI writing tools that simply generate paragraphs, AI blog writing supports the entire content creation process. It helps with SERP analysis, outline building, long-form drafting, and on-page optimization, so writers aren’t starting from a blank screen. When used directly inside WordPress, AI blog writing fits naturally into existing workflows, allowing bloggers and content marketers to maintain brand voice, apply Semantic SEO, and meet E-E-A-T expectations through human review, fact-checking, and thoughtful editing

How to Use AI for Blog Writing

AI blog writing works best when you stop treating it like a magic button and start using it as a thinking partner. The most successful bloggers and content marketers don’t jump straight into writing; they use AI to understand, plan, draft, and refine content in a structured way.

Let’s break down what that actually looks like in practice.

Step 1: Start with Search Intent, Not Just a Topic

Before a single word is written, the most important question to answer is: Why is someone searching for this topic? Many blogs fail not because of poor writing, but because they answer the wrong question or target the wrong angle.

Modern AI blog writing tools, powered by Generative AI and Large Language Models like GPT-4 or Claude 3.5, analyze live search results to understand what users and search engines expect to see.

At this stage, AI helps you:

• Identify whether the intent is informational, commercial, or mixed
  
• Understand the depth and complexity required to compete
  
• See what formats dominate the SERP (guides, lists, comparisons)
  
• Avoid creating content that looks good but never ranks

This step sets the strategic direction for everything that follows.

Step 2: Generate a SERP-Based Outline

Once intent is clear, AI shifts from analysis to structure, one of the most powerful advantages of AI blog writing. Instead of guessing what headings to include, AI studies what already works and builds from there.

Using Natural Language Processing and Transformer Architecture, AI evaluates top-ranking pages to understand how successful content is organized.

This allows AI to:

• Identify essential subtopics that Google expects
  
• Group related ideas logically
  
• Highlight content gaps competitors missed
  
• Create a natural flow that supports Semantic SEO

The result is an outline that feels intentional, not random, and gives you a clear roadmap before writing begins.

Step 3: Draft the Blog (Section by Section)

With a solid outline in place, AI blog writing becomes far less overwhelming. Instead of trying to write a full article in one sitting, AI supports a focused, section-by-section drafting process.

At this stage, AI assists by:

• Expanding each heading into coherent, readable content
  
• Maintaining consistency in tone and terminology
  
• Simplifying complex ideas for a broader audience
  
• Reducing mental fatigue during long-form writing

You’re no longer fighting a blank screen. Instead, you’re reviewing, refining, and guiding the draft, while AI handles the heavy groundwork.

Step 4: Edit with a Human-in-the-Loop Approach

This is where AI-assisted content turns into publish-ready content. To meet Google’s E-E-A-T, human involvement is critical.

During this phase, writers and editors focus on adding what AI can’t:

• Personal experience, examples, and opinions
  
• Fact-checking to prevent inaccuracies or hallucinations
  
• Brand voice adjustments for tone and clarity
  
• Smoother transitions and stronger storytelling

AI speeds up creation, but human judgment builds trust with both readers and search engines.

Step 5: Optimize the Blog for SEO and Readability

After the writing is complete, the next critical step is SEO optimization. Even the most well-written AI-assisted blog won’t perform if search engines can’t clearly understand its structure, relevance, and intent. This step focuses on fine-tuning your content so it aligns with how search engines evaluate and rank pages without sacrificing readability for real users.

SEO optimization at this stage ensures your blog is positioned to compete in search results, supports long-term organic traffic, and aligns with broader content goals. It’s about turning a strong draft into a search-ready asset, not just a published post.

At this point, you should:

• Refine headings and subheadings to clearly reflect search intent
  
• Place primary and secondary keywords naturally throughout the content
  
• Strengthen internal linking to provide context and improve crawlability
  
• Improve content structure for better readability and logical flow
  
• Prepare the post for schema and on-page SEO best practices

Step 6: Add Images and Publish Inside WordPress

With SEO in place, it’s time to focus on presentation and user experience. Images play a crucial role in making long-form AI blog writing more engaging, scannable, and easier to understand. This step is about enhancing your content visually while ensuring everything is ready for a smooth publish.

Adding images at the right moment after SEO optimization prevents layout issues and helps maintain a clean structure. Publishing directly inside WordPress then ties the entire workflow together, eliminating unnecessary steps and friction.

During this step, you should:

• Add relevant images that support the surrounding content
  
• Place visuals at natural breaks to avoid overwhelming readers
  
• Write descriptive alt text for accessibility and image SEO
  
• Preview the post to check spacing, formatting, and responsiveness
  
• Publish directly from the WordPress editor with confidence

Now that you’ve seen how AI can actually fit into your writing process, the next logical question is: Is it really worth it? Let’s look at where AI shines, and where it still needs a little help.

Benefits and Drawbacks of AI Blog Writing

AI blog writing has quickly moved from “nice-to-have” to part of everyday blogging. But like any powerful tool, it comes with clear advantages and a few trade-offs you should understand before relying on it fully.

Let’s break this down in a realistic, no-hype way.

The Key Benefits of AI Blog Writing

When used thoughtfully, AI blog writing can transform how bloggers and content teams work, especially inside WordPress.

• Faster content creation: AI dramatically reduces time spent on research, outlining, and drafting, helping teams maintain consistent publishing schedules without burnout.
• Higher content velocity: This boost in Content Velocity is critical in competitive niches.
• Stronger SEO alignment from the start: Powered by Large Language Models and Natural Language Processing, AI tools analyze SERPs, search intent, and semantic relationships, supporting Semantic SEO instead of keyword stuffing.
• Better structure and topical coverage: AI excels at organizing content logically, ensuring blogs cover essential subtopics, questions, and related concepts, something many writers struggle with manually.
• Scalability without hiring pressure: Whether you’re a solo blogger or an agency, AI blog writing makes it easier to scale output without expanding your team immediately.

Transitioning from manual writing to AI-assisted workflows often feels like finally removing friction from the process.

The Real Drawbacks You Shouldn’t Ignore

That said, AI blog writing isn’t perfect, and pretending otherwise leads to poor results.

• Lack of lived experience and original insight: AI can summarize what already exists, but it can’t replace personal experience, opinions, or first-hand examples, key elements for E-E-A-T.
  
• Risk of inaccuracies and hallucinations: Without oversight, AI may generate confident-sounding but incorrect information. This makes Hallucination Mitigation and fact-checking essential.
  
• Generic tone if left unedited: AI drafts can feel polished but bland. Without brand voice refinement, content risks sounding like “everyone else.”
  
• Plagiarism and originality concerns: While most tools aim for originality, smart teams still run checks using Plagiarism Detection tools to stay safe.

This is exactly why a Human-in-the-Loop approach matters for AI accelerates creation, but humans ensure trust and quality.

Once you know the pros and cons, it becomes much easier to spot which tools actually support your goals, and which ones just add more noise.

AI Blog Writing Tools

Today’s AI blog writing landscape is crowded, and while most tools rely on Generative AI and Large Language Models (LLMs), they differ significantly in how much of the blogging process they actually support. Below are some well-known options, each with its own strengths and limitations.

• WriteRush: A WordPress-native AI blog writing plugin built for the complete blogging workflow. It supports SERP-based outlines, long-form blog drafting, brand voice training, and direct publishing inside WordPress, making it ideal for bloggers, niche site owners, and content teams who want speed without breaking workflow.
  
• HubSpot’s AI blog writer: Integrates AI blog writing into a full content marketing and CRM ecosystem, allowing teams to manage ideation, drafting, and publishing alongside broader marketing campaigns.
  
• Jasper: Known for high-quality long-form content generation and brand voice control, Jasper is popular with marketing teams and integrates with SEO tools like SurferSEO for optimization-focused workflows.
  
• QuillBot: Offers a simple blog post generator best suited for brainstorming ideas, paraphrasing, and refining existing content rather than managing full blog production.
  
• Writesonic: Provides a wide range of AI writing templates, including blog posts and landing pages, and is often used by marketers looking for quick drafts across multiple content formats.
  
• Copy.ai: Focuses primarily on short-form and marketing copy, but also supports blog outlines and drafts for teams needing fast ideation rather than deep SEO workflows.
  
• Rytr: A lightweight AI writing tool suitable for beginners who want affordable, quick blog drafts without advanced SERP analysis or publishing features.
  
• Frase: Combines AI writing with SERP analysis and content briefs, making it useful for SEO-driven blog creation, though it typically operates outside WordPress.

Of course, even the best tool won’t deliver great results unless you know how to talk to it, which is why prompts play a much bigger role than most people realize.

Some Examples for AI Blog Writing Prompt

Now that you understand why SERP-based outlines matter, let’s get into the practical side of things, what to actually ask the AI.

The quality of your output depends heavily on the quality of your prompt, especially when your goal is to generate SERP-aligned blog structures, not just random headings.

Below are realistic, high-performing AI blog writing prompt examples you can use or adapt, whether you’re working inside WordPress or using any tool powered by Generative AI and Large Language Models.

1. Topic Validation & Keyword Understanding Prompts

Before writing anything, you need to confirm whether a topic is worth targeting and whether it can realistically rank. These prompts prevent wasted effort on poor or misaligned topics.

Use when: You’re unsure whether a keyword deserves a full blog.

Prompt:

Analyze the keyword “[PRIMARY KEYWORD]” and determine whether it is suitable for a long-form blog post. Identify the dominant search intent, expected content depth, ideal article length, and whether users expect beginner, intermediate, or advanced-level information. Also mention any challenges or limitations for ranking on this topic.

Search Intent Identification Prompt

Use when: You want to align content with what users and Google expect.

Prompt:

Identify the primary and secondary search intent behind the keyword “[PRIMARY KEYWORD].” Explain what users are trying to achieve, what type of content format ranks best (guide, tutorial, list, comparison), and how the intent should influence the article structure.

2. SERP Analysis & Competitive Research Prompts

AI blog writing becomes powerful only when AI analyzes the SERP first. These prompts force the AI to study ranking patterns instead of guessing.

Use when: You want AI to understand how Google structures ranking content.

Prompt:

Analyze the current Google SERP for “[PRIMARY KEYWORD].” Review the top-ranking pages and identify common headings, section order, content formats, depth patterns, and recurring themes. Summarize what Google appears to reward for this query.

Competitor Gap Analysis Prompt

Use when: You want to outperform existing content.

Prompt:

Review the top 10 ranking articles for “[PRIMARY KEYWORD].” Identify missing subtopics, shallow explanations, outdated sections, or weak content areas. List clear opportunities to create more comprehensive, clearer, or more practical content.

3. SERP-Based Outline Generation Prompts

Outlines determine ranking success. These prompts help AI generate SERP-aligned, SEO-safe structures, not generic headings.

Use when: You want a ranking-focused outline.

Prompt:

Based on the current SERP analysis for “[PRIMARY KEYWORD],” generate a detailed blog outline that mirrors top-ranking content structures while improving clarity and flow. Ensure logical progression, complete topic coverage, and alignment with search intent.

Entity-Rich (Semantic SEO) Outline Prompt

Use when: You want stronger topical authority.

Prompt:

Create a SERP-based outline for “[PRIMARY KEYWORD]” that naturally incorporates relevant semantic entities such as NLP, Semantic SEO, E-E-A-T, and related concepts. Ensure entities support understanding rather than being forced.

WordPress-Ready Outline Prompt

Use when: You publish directly inside WordPress.

Prompt:

Generate a WordPress-ready SERP-based outline for “[PRIMARY KEYWORD]” with clear H2 and H3 hierarchy, logical content flow, internal linking opportunities, and a dedicated FAQ section suitable for schema markup.

4. Introduction & Hook Writing Prompts

Introductions decide whether readers stay or bounce. These prompts focus on storytelling, relevance, and clarity.

Use when: You want higher engagement and retention.

Prompt:

Write a conversational, storytelling-style introduction for “[PRIMARY KEYWORD].” Start by highlighting common pain points, frustrations, or challenges readers face, then clearly explain what the blog will help them achieve and how the content is structured.

Featured Snippet Definition Prompt

Use when: You’re targeting position zero.

Prompt:

Write a concise, featured-snippet-optimized definition for “[PRIMARY KEYWORD]” in 40-60 words. Use a neutral, informational tone and explain the concept clearly without examples or promotional language.

5. Section-by-Section Drafting Prompts

AI performs best when drafting one section at a time with clear expectations.

Use when: Writing individual sections.

Prompt:

Write a detailed, reader-friendly section for the heading “[H2/H3 TITLE]” under the topic “[PRIMARY KEYWORD].” Explain the concept clearly, include practical examples if relevant, and ensure smooth transitions to surrounding sections.

Practical Example Prompt

Use when: You want content to feel real and trustworthy.

Prompt:

Add a practical example, scenario, or use case that helps readers clearly understand “[SUBTOPIC]” in a real-world context.

6. SEO Optimization Prompts (On-Page)

SEO optimization ensures your content is discoverable without sacrificing readability.

Use when: Improving depth and relevance.

Prompt:

Optimize this section for semantic SEO by improving clarity, topical depth, and contextual relevance. Avoid keyword stuffing and keep the content natural and reader-focused.

7. FAQ & PAA Optimization Prompts

FAQs improve SERP visibility and capture People Also Ask results.

Use when: Targeting additional SERP real estate.

Prompt:

Generate common People Also Ask questions related to “[PRIMARY KEYWORD].” Provide concise, factual answers optimized for featured snippets.

FAQ Schema Prompt

Use when: Preparing schema-ready FAQs.

Prompt:

Rewrite the following FAQs in a format suitable for the FAQ schema. Keep answers short, clear, and informational.

8. GEO & AI Search Optimization Prompts

AI search engines prefer structured, concise, entity-rich content.

Use when: Preparing for an AI-powered search.

Prompt:

Optimize this blog for Generative Engine Optimization (GEO) so it can be easily understood, summarized, and referenced by AI search engines and Google AI Overviews.

9. Image & Visual Content Prompts

Images improve engagement and readability in long-form blogs.

Use when: Structuring visuals.

Prompt:

Suggest ideal locations within this blog where images should be added to improve readability and user engagement.

Image Alt Text Prompt

Use when: Improving accessibility and image SEO.

Prompt:

Write descriptive, SEO-friendly alt text for the images used in this blog based on the surrounding content.

10. Conclusion & Conversion Prompts

Strong conclusions reinforce value and guide next actions.

Use when: Wrapping up the article.

Prompt:

Write a clear, engaging conclusion for “[PRIMARY KEYWORD]” that summarizes key takeaways and reinforces the main value of the article.

But here’s the thing, great prompts don’t mean much if no one reviews the output, and that’s where human editing steps in to elevate everything.

The Role of Human Editing in AI Blog Writing

AI blog writing has made content creation faster than ever, but speed alone doesn’t create great content. What truly determines whether an AI-assisted blog ranks, resonates, and earns trust is human editing. This step is where raw AI output is transformed into content that feels credible, intentional, and genuinely helpful.

Think of AI as a powerful assistant that lays the foundation. Human editors are the ones who shape, refine, and validate that foundation, making sure the final result serves both readers and search engines.

AI Creates Speed, Humans Create Trust

AI tools powered by Generative AI, Natural Language Processing (NLP), and Transformer Architecture are excellent at analyzing patterns, structuring information, and producing drafts quickly. However, they don’t truly understand context the way humans do.

This is why successful AI blog writing relies on a Human-in-the-Loop approach. Humans step in to evaluate whether the content actually makes sense, flows naturally, and answers the reader’s underlying question, not just the keyword.

Human editors help:

• Clarify ideas that AI explains too broadly or vaguely
  
• Improve transitions so the content reads smoothly
  
• Adjust emphasis based on audience knowledge and expectations

Without this layer, AI-written blogs often feel correct but disconnected.

Translating AI Drafts Into E-E-A-T Compliant Content

Search engines increasingly evaluate content through the lens of E-E-A-T (Experience, Expertise, Authoritativeness, and Trustworthiness). AI can support expertise, but it cannot demonstrate experience.

Human editing adds:

• First-hand insights, opinions, or lessons learned
  
• Nuanced explanations drawn from real-world usage
  
• Clear signals that the content was reviewed by someone knowledgeable

This human input is often what turns a technically sound draft into a blog that readers trust and share.

Reducing AI Hallucinations and Ensuring Accuracy

Even advanced Large Language Models (LLMs) can occasionally produce confident but inaccurate statements. Left unchecked, these errors can harm credibility and rankings.

Human editors play a critical role in Hallucination Mitigation by:

• Verifying facts, statistics, and tool references
  
• Rewriting assumptions into evidence-backed statements
  
• Removing unnecessary speculation or overgeneralization

This review process ensures the blog is not just readable, but reliable.

Maintaining Brand Voice and Originality

AI is trained on massive datasets, which means its writing can sometimes sound polished but generic. Human editing ensures your blog doesn’t blend into the sea of AI-generated content.

Editors refine:

• Tone, voice, and personality to match the brand
  
• Messaging consistency across multiple posts
  
• Language that feels human, relatable, and intentional

Many teams also pair this step with Plagiarism Detection tools to ensure originality and transparency.

Once AI and human input start working together, the next big advantage comes from where all this happens, especially when it’s built right into WordPress.

Why AI Blog Writing Inside WordPress Changes Everything

What truly sets AI blog writing inside WordPress apart isn’t just speed; it’s the depth of features that guide you from idea to publish-ready content without breaking focus. Instead of switching disconnected tools, these capabilities work together to create a structured, intelligent, and writer-friendly workflow.

Here’s how each feature plays a role in changing the way blogs are created.

SERP-Based Outline Generator

This feature eliminates one of the hardest parts of blogging: deciding what to include and what to ignore. By analyzing real search engine result pages, it identifies how top-ranking articles are structured, which subtopics consistently appear, and how information is sequenced.

Instead of relying on intuition or guesswork, writers begin with an outline that already aligns with search intent and competitive expectations. This dramatically reduces the risk of missing important sections or creating content that feels incomplete.

AI Outline Generation

While SERP-based outlines focus on external data, AI outline generation focuses on internal logic and flow. It organizes ideas in a way that feels natural to readers, prevents repetition, and ensures each section builds on the previous one.

This is especially valuable for long-form blogs, where poor structure can confuse readers or increase bounce rates. The result is an outline that’s not just SEO-friendly, but genuinely readable.

Guided Long-Form Blog Workflow

Long blogs often fail because writers lose direction halfway through. A guided workflow solves this by breaking the writing process into clear, manageable stages: research, outlining, drafting, refining, and finalizing.

Instead of switching prompts or starting over repeatedly, writers are guided step by step. This keeps momentum high, reduces overwhelm, and ensures consistency from the first paragraph to the conclusion.

Topic Analysis for Your Targeted Audience

Not every reader wants the same level of detail or explanation. This feature helps AI understand who the content is for, their knowledge level, pain points, and expectations.

By analyzing audience context, the content becomes more relevant and easier to understand. Beginners aren’t overwhelmed, and advanced readers aren’t bored. This alignment improves engagement and makes blogs feel intentionally written, not mass-produced.

Advanced Blog Parameters (Audience, Purpose, Tone & More)

Before writing begins, you can define key parameters such as:

• Who the content is for
  
• Why it’s being written
  
• What tone should it follow

These parameters act as guardrails. They prevent the AI from drifting into the wrong voice, unnecessary complexity, or mismatched goals, resulting in content that feels focused and purposeful from start to finish.

Title Generation and Regeneration

Headlines are often rewritten multiple times, yet many tools treat them as an afterthought. This feature allows writers to explore multiple title angles, informational, curiosity-driven, or benefit-focused, without rewriting the entire article.

Being able to regenerate titles independently encourages experimentation and helps writers improve click-through potential while staying aligned with search intent.

Brand Voice Training Using Existing Content

One of the biggest concerns with AI blog writing is sameness. Brand voice training solves this by letting AI learn directly from your existing content.

By analyzing text snippets or previously published posts, the AI begins to understand how your brand communicates, such as word choice, sentence rhythm, and tone. Over time, this creates consistency across blogs and reduces the need for heavy rewrites.

Section Regeneration with Custom Prompts

Not every part of a blog needs rewriting. This feature allows writers to target only the sections that feel weak, unclear, or misaligned.

By using custom prompts, you can ask the AI to simplify a paragraph, add depth, change tone, or clarify a concept without affecting the rest of the article. This precision saves time and preserves creative control.

AI Image Generation and Regeneration Inside WordPress

Visuals are an essential part of modern blogging, but sourcing them often breaks workflow. AI image generation inside the editor allows writers to create or update images exactly where they’re needed.

This keeps visuals contextually relevant, improves readability, and removes dependency on external design tools, making the entire content creation process more self-contained.

Social Media Content Creation and Scheduling

Publishing a blog is only half the job. This feature helps extend the value of each post by transforming it into social media content.

Instead of manually rewriting posts for different platforms, AI assists in generating captions and scheduling them, helping maintain consistency across channels while saving time.

Send Publish-Ready Blogs Directly to WordPress Drafts

Once content is finalized, it can be sent directly to WordPress drafts with formatting intact. This removes copy-paste errors, layout issues, and unnecessary back-and-forth.

It also allows teams to review, schedule, or make final edits without disrupting the writing flow, making publishing smoother and more reliable.

A smooth WordPress workflow makes things easier, but it’s still surprisingly easy to trip up, so let’s quickly cover the mistakes you’ll want to avoid.

Common Mistakes to Avoid in AI Blog Writing

AI blog writing can dramatically improve speed and consistency, but only if it’s used correctly. Many bloggers and content teams struggle not because AI doesn’t work, but because of how they use it.

Let’s walk through the most common mistakes and, more importantly, how to avoid them.

• Relying on AI as a One-Click Solution: Even tools powered by Generative AI and advanced Large Language Models are not meant to replace strategy. Publishing AI output without structure or review often results in generic, low-value content.
• Ignoring SERP and Search Intent: Skipping SERP analysis leads to content that answers the wrong questions. AI blog writing works best when it starts with intent and structure, not just text generation, using Natural Language Processing (NLP) to align with ranking patterns.
• Publishing Without Human Editing: AI cannot demonstrate experience or judgment. Without a Human-in-the-Loop, content quality, accuracy, and E-E-A-T signals suffer.
• Overlooking Brand Voice: Untrained AI output can sound polished but generic. Defining tone and training AI on existing content helps maintain consistency and brand identity.
• Skipping Fact-Checking and Accuracy Review: AI can occasionally produce incorrect or vague claims. Managing Hallucination Mitigation through human review is essential to maintain trust.
• Assuming AI Handles SEO Automatically: AI supports SEO, but it doesn’t replace it. Weak structure, poor internal linking, and ignoring Semantic SEO principles still hurt performance.

If you can steer clear of these pitfalls, AI blog writing stops feeling experimental and starts feeling reliable, which brings us to the final takeaway.

Final Thoughts

AI blog writing is no longer about experimenting with shortcuts; it’s about building a smarter, more sustainable content workflow. When used thoughtfully, AI helps you research faster, structure better, and publish more consistently without sacrificing quality.

However, the real results come from balance. AI excels at analysis, outlining, and drafting, but human judgment is what adds experience, accuracy, and trust. That combination is what aligns your content with E-E-A-T, satisfies search intent, and keeps readers engaged.

Working directly inside WordPress takes this a step further. It removes friction, keeps everything in one place, and turns AI from a separate tool into part of your publishing system.

In short, AI blog writing isn’t about replacing writers; it’s about empowering them. When AI handles the heavy lifting, and humans guide the final output, blogging becomes faster, more strategic, and far more scalable. That’s where long-term growth really begins.

Frequently Asked Questions (FAQs)

This page was last edited on 27 January 2026, at 11:34 am