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AI content generation

Stop writing every post from scratch. Define your brand voice once, and let AI generate high-quality content that matches your style — across any topic, in any format.

  • Custom AI instructions
  • Multi-model AI (GPT-6, Claude, Gemini)
  • Brand voice consistency

Custom AI instructions

Train AI to match your brand voice by providing detailed instructions. The AI remembers your style, tone, and preferences for every post.

Multi-model AI support

Choose from multiple leading AI models for content generation. Switch between models to find the one that best fits your channel's needs.

Brand voice consistency

Maintain consistent messaging across all your channels. AI applies your brand guidelines automatically, ensuring every post sounds like you.

How AI content generation works

You begin by writing instructions that describe the channel: who reads it, which tone fits, which words you avoid. Autogram stores those instructions with the channel, so every generation request carries them automatically. When you ask for a post, the model receives your brief together with the channel's own context and returns a draft you can edit, regenerate, or send straight to the schedule. Because the instructions live with the channel rather than inside a single prompt, the tenth post reads like the first — and you can change the voice on one channel without touching any of the others.

From instruction to published post

  1. 1

    Write an instruction

    An instruction is a reusable prompt template for one job: generating a post, translating it, reformatting it, writing hashtags or a caption, and more. Write it once, bind it to one AI model, and it is ready to attach anywhere.

  2. 2

    Attach it to an automation

    The instruction lives on the automation, not on each post. By default the automation also folds in the channel's own recent posts and other automations' recent activity, so a new draft does not repeat what already ran.

  3. 3

    Pick the model for the job

    Choose per instruction from tiers across three providers: fast, cheap options like GPT-6 Luna or Claude Haiku 4.5 for high-volume short posts, and stronger reasoning tiers like GPT-6.1 Sol, GPT-6 Astra, or Claude Opus 5.5 for long-form or analytical writing.

  4. 4

    Turn on web search or image generation

    Let a run search the web before it drafts — OpenAI and Anthropic models support this, Google's models do not, under Google's own terms for grounded content — or hand a separate instruction to image generation, using OpenAI's or Google's image models.

Models, search and images

One instruction, every post

Instructions are grouped by job: generation, translation, formatting, hashtags, captions, SEO wording, moderation, and more. Write one and every post the automation creates reuses it, so the tenth post reads like the first.

A model per job, not one model for everything

The catalog spans OpenAI, Anthropic and Google, from fast and cheap tiers built for short, high-volume posts to flagship tiers built for long-form or analytical writing. Switch the model on one instruction without touching any other automation's settings.

Web search is opt-in and capped

Web search is off by default. Turned on, a run searches a bounded number of times before it drafts: two per generation by default, and an Anthropic instruction can raise its own cap up to ten, so one draft cannot run away with search costs. Google's models in the catalog do not search at all.

AI content questions

No. Write the instruction once, attach it to the automation, and every post that automation generates reuses it automatically. You never retype it per post.

The catalog spans OpenAI, for example GPT-6 Luna for fast, cheap posts or GPT-6.1 Sol and GPT-6 Astra for deeper writing; Anthropic, from Claude Haiku 4.5 up to Claude Opus 5.5; and Google's Gemini 3.5 Flash-Lite and Gemini 3.8 Flash. You choose the model per instruction, so different jobs can use different tiers.

Yes, on OpenAI and Anthropic models. Turn on web search on the instruction and it searches a capped number of times before drafting. Google's models in the catalog do not offer this, under Google's own terms for grounded content.

Yes. A separate instruction category handles image generation, using OpenAI's image models or Google's Gemini image model. The Gemini model accepts up to ten reference images, so new art can match a channel's existing visual style.
AI draft

Tuesday digest: five releases from this week, one line each…

GPT-6Claude Fable 5.1

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