Context Selection

Reusable context for consistent, on-brand AI writing

Using an AI writing tool usually means you start with a blank prompt and a memory problem. The standard workflow is pasting the company background, explaining the audience, describing the brand voice, and adding examples or references before you can ask for a useful draft. When that context is incomplete or changes from one prompt to the next, the output becomes the generic AI writing we all know. This is where the editing work starts all over again.

Riley turns that repeated briefing into reusable context. Save company and product knowledge, target audiences, voice and style guides, and examples of past writing once, then select the combination that matters for each task. Every draft can begin with a clearer understanding of what your company knows, who it's speaking to, and how it should sound. No need to copy and paste the same massive prompt again and again, and risk forgetting key information in the process.

In practice, a brief can combine company background, a target audience, a style guide, and relevant examples. Change the selection when the output you need changes while keeping the underlying brand knowledge available for the next piece of content.

What Context Selection helps you do

Spend less time prompt engineering
Get on-brand drafts consistently
Make your voice recognizable across platforms

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Multi-model

Compare multiple AI models for the same writing task

In a typical workflow, the first response from one AI model is never the strongest starting point. Comparing alternatives means opening several tools, copying the same prompt and background into each one, and moving between tabs while trying to remember which draft handled the voice, structure, and audience best. The comparison can take almost as much effort as writing the content yourself. And you will probably like some bits and pieces from each model, which means you'll have to copy all outputs into one model and request a combination. Not the most efficient workflow, is it?

To solve this, we've allowed Riley to run the same contextual brief across multiple AI models and present their outputs side by side in one workspace. You can compare how each model interprets the idea, choose the draft that best matches the intended voice and format, and is closest to a publishable draft, and continue refining it without repeating the prompt or moving the work into another tool and changing tabs all the time.

Because the brief stays consistent, you're comparing like with like. The differences you see come from each model's interpretation of the same context and request, making it easier to judge which response gives you the strongest structure, angle, and language to work from.

What Multi-model helps you do

Choose quality instead of settling for one model
Start writing from the strongest output
Avoid repeating the same prompt across different tools

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Iterative Refinement

Refine AI-generated content with comments and direct edits

Writing is an editorial process, and rarely is AI-generated content publishable from the first draft. The content might feel generic, the model maybe missed a some key fact, or some patterns might feel a bit off. When feedback lives in a separate document or only exists as another prompt, you have to explain the same preferences again during the next conversational revision and the next piece of content.

Riley keeps feedback attached to the writing itself, instead of making you edit your prompt again and again. Highlight a specific passage, explain what works or what needs to change, or edit the wording directly inside the draft. Riley uses those corrections and preferences to improve future output, turning each hands-on revision into useful context while keeping the writer in control of the final language.

In practice, broad feedback such as “make this sound more like us” can become a precise comment on the exact sentence that needs work. Since direct editing is faster, you can rewrite the passage yourself and keep the final copy in the same workspace as the feedback that shaped it.

What Iterative Refinement helps you do

Cut revision cycles and rewriting time
Move from first draft to published post faster
Edit and refine without leaving Riley

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Calendar

Plan and schedule multi-channel content campaigns in one calendar

Content plans become difficult to maintain when ideas live in chats, finished drafts live in documents, and publishing dates live in a spreadsheet. It becomes even harder to see whether every campaign has the right channel coverage, which posts are ready, and where an empty slot is about to turn into a missed publishing day.

Riley’s content calendar keeps campaign planning beside the content you are creating. Organize campaigns, assign each piece to a platform, schedule publishing dates, and see open slots before they become gaps in your schedule. The plan and the work stay in one dashboard, so you can move from draft to scheduled content without rebuilding the campaign somewhere else.

In one view, you can see which channels need content, the pieces already assigned, and the dates that remain empty. It makes it easier to rebalance a campaign, fill a gap, or change the publishing sequence before the schedule starts to slip.

What Calendar helps you do

Stay consistent without losing focus
Manage every campaign in one dashboard
Fill empty slots before they become missed posts

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Content

Organize and reuse approved content across campaigns

Approved content often disappears into the conversation or document where it was created. Weeks later, a strong post, useful argument, or finished campaign asset is difficult to find and usually forgotten, so the next campaign begins from an empty page (again) even though valuable work already exists. Another reason why content production becomes slower and leaves good ideas underused.

Riley’s Content library gives finished work a permanent, organized home. Save approved drafts, add tags that make them easy to retrieve, reuse strong ideas in a new campaign, and move content into the publishing schedule. Your best work remains available after the original chat ends instead of getting buried in its history.

A finished social post, article draft, or newsletter will always remain available as a tagged content asset. When a related campaign begins, you can find the original idea, adapt it for another format or audience, and schedule the new version without recreating the thinking behind it. Couldn't be easier!

What Content helps you do

Build campaigns without starting from scratch
Reuse your best ideas for new posts
Find approved content without digging through old chats

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Notifications

Track pending, scheduled, and published content

A full content calendar helps you keep your content organized and planned, but doesn't automatically show what needs action now. A post can still be waiting for attention, a publishing slot may pass unnoticed, or completed work can remain unconfirmed while your next campaign moves forward. Without a clear view of status, small gaps turn into missed deadlines and inconsistent publishing.

Riley’s Notifications surface what's pending, upcoming, or live alongside the calendar. See missed slots, catch content that still needs attention, and confirm what has been published without leaving the workflow that holds the campaign plan. The next action becomes visible before it delays the rest of the schedule.

Instead of manually checking every campaign, you can move from the calendar to the items that need action, resolve a missed slot, and confirm live content in just a few clicks. That creates a clearer operational view of what is planned, what is blocked, and what is already complete.

What Notifications helps you do

Keep campaigns on schedule
Catch blockers before they delay publishing
Confirm what’s live without leaving your calendar

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One connected AI writing workflow from context to published content.