# AgentizeMe > Your voice, compiled. AgentizeMe turns real posts, replies, work chat patterns, and recurring interests into a portable personality spec, then uses that spec to power a voice agent, content drafts, skills, and engagement workflows. ## Public Pages - [Homepage](https://agentizeme.ai/): Product overview, workflow, artifacts, pricing, and FAQ. - [App preview](https://agentizeme.ai/app): Demo workspace for handles, spec preview, chat, and export/paywall. - [Use cases](https://agentizeme.ai/use-cases): Audience-specific ways to use AgentizeMe. ## Use Cases - [Technical builders](https://agentizeme.ai/use-cases/technical-builders): Turn messy learning notes, product opinions, and real replies into public posts and useful agent context without making everything sound like polished marketing. - [Founders and operators](https://agentizeme.ai/use-cases/founders): Create an agent that understands your decision style, customer language, recurring themes, and public-facing tone. - [Creators](https://agentizeme.ai/use-cases/creators): Build a reusable voice system from posts, comments, reactions, and the ideas you keep returning to. - [Teams](https://agentizeme.ai/use-cases/teams): Standardize how AI helpers represent key voices, review public posts, and prepare engagement suggestions. ## Machine-Readable Content - [Full site summary](https://agentizeme.ai/llms-full.txt): Complete product and use-case text for AI crawlers. --- ## Product Artifacts ### Personality spec A durable profile with voice rules, beliefs, defaults, examples, and boundaries. ### Voice agent A five-turn demo chat first, then a longer-lived assistant once exports unlock. ### Claude/Codex skills Portable skill files that can guide local agents in your tone and workflows. ### Content inbox Seeds, hooks, draft angles, and platform recommendations. ### Conversation radar Watchlists and reply opportunities from high-signal public conversations. ### Tooling hooks MCP-ready context and structured files for future automations. --- ## Pricing ### Preview Price: $0 Compile a sample spec and try five voice-agent turns. - X, Instagram, Reddit handle intake - Spec preview - Five demo chat turns ### Personal Price: $29 one-time early access Export files and use the agent context in your own workflows. - Download personality files - Claude/Codex skill exports - Content inbox starter pack ### Operator Price: $99 one-time early access For people who want deeper setup across work and public channels. - Private source import planning - Engagement radar setup - Priority integration requests --- ## FAQ ### Does AgentizeMe post for me? No. The first slice is read-only and export-focused. It helps you draft, review, chat, and export. Posting automation should be explicit and opt-in later. ### What sources work first? The first app surface accepts X, Instagram, and Reddit handles. Slack, WhatsApp, video, audio, docs, newsletters, podcasts, calendar, email, GitHub, and Notion are listed as coming soon. ### What do paid exports include? The planned paid export includes personality markdown, a compact model context file, Claude/Codex skills, and starter workflow config for content and engagement systems. --- ## Use Case Details # AgentizeMe for Technical builders Audience: Engineers, devrel teams, and AI builders Turn technical learning into public signal. Turn messy learning notes, product opinions, and real replies into public posts and useful agent context without making everything sound like polished marketing. Best for: People building, debugging, teaching, or evaluating technical products in public. Setup: Start with public social handles. Add work chat, docs, GitHub, and private sources later when the import path is ready. ## Outcomes - Draft posts from real technical learning - Keep replies casual but informed - Export skill files for local coding agents ## Problems - Useful ideas are scattered across Slack threads, GitHub comments, support conversations, and half-written posts. - AI drafts tend to over-polish the point and hide the actual product tradeoff. - The best reply usually needs context from the source, not a generic technical opinion. ## Workflow ### 01 - Collect the trail Pull public posts, replies, comments, and later work-source receipts into one reviewable signal set. ### 02 - Extract the operating taste Turn repeated objections, examples, vocabulary, and judgment calls into rules an agent can actually follow. ### 03 - Draft from the receipt Generate posts and replies that cite the artifact or failure mode that made the idea worth saying. ## Artifacts - Content inbox: Seeds from recent technical learning, each with hooks, platform fit, and source links attached. - Coding-agent skill: A portable skill that gives Codex, Claude, and other local agents the same technical voice constraints. - Conversation radar: A watchlist of communities, topics, and public conversations worth replying to without sounding forced. ## Source Signals - X posts and replies - Reddit comments - Slack/work chat later - GitHub issues and docs later ## Sample Prompts - Turn this debugging thread into a short X post with the source link. - Reply to this agent UX take without sounding like a brand account. - Find the real product lesson in this Slack thread. --- # AgentizeMe for Founders and operators Audience: CEOs, founders, and busy operators Make your operating judgment reusable. Create an agent that understands your decision style, customer language, recurring themes, and public-facing tone. Best for: Founders and operators who make a lot of decisions in private, then need to communicate them clearly in public. Setup: Start with public posts and replies. Add customer calls, team docs, and work chat when private imports are enabled. ## Outcomes - Reply faster without flattening your voice - Capture ideas from work conversations - Delegate first drafts while preserving taste ## Problems - Your strongest opinions live in meetings and DMs, not in a clean content calendar. - Generic assistants can summarize what happened but miss why you made the call. - Delegating drafts often creates more review work because taste and boundaries are implicit. ## Workflow ### 01 - Capture the decision pattern Collect examples of how you explain tradeoffs, push back, frame customers, and decide what matters. ### 02 - Separate voice from brand Keep personal judgment, company positioning, and public boundaries explicit instead of blending them together. ### 03 - Use it where decisions show up Generate replies, founder notes, launch drafts, and internal prompts with the same operating model. ## Artifacts - Founder voice spec: A compact profile of cadence, beliefs, examples, banned phrases, and default response instincts. - Draft assistant: A preview chat that can shape rough thoughts into founder notes without making them sound committee-written. - Export pack: Files for local agents, docs, and future automations that need to represent your judgment consistently. ## Source Signals - X and LinkedIn-style posts later - Customer language later - Slack/work chat later - Docs and memos later ## Sample Prompts - Turn this product decision into a founder note. - Reply to this customer-facing question in my style. - Make this launch draft sound less like marketing and more like what I would actually say. --- # AgentizeMe for Creators Audience: Writers, creators, educators, and community builders Turn audience conversations into a voice system. Build a reusable voice system from posts, comments, reactions, and the ideas you keep returning to. Best for: Creators with recurring themes, comments, and unfinished ideas spread across platforms. Setup: Start with public posts, captions, and comments. Add newsletters, podcasts, video, and docs as richer sources later. ## Outcomes - Collect content ideas automatically - Generate platform-aware drafts - Keep source material and personality files portable ## Problems - Good ideas come from comments and replies, but they disappear into the feed. - Draft tools often copy the topic while missing the cadence, opener, and level of vulnerability. - Different platforms need different shape without becoming different personalities. ## Workflow ### 01 - Find repeated signals Identify the questions, disagreements, emotional beats, and recurring topics that already pull attention. ### 02 - Codify the voice Extract the pacing, boundaries, favorite moves, and things you never say into a portable spec. ### 03 - Draft per surface Create post, caption, comment, and newsletter angles that fit the platform without flattening the person. ## Artifacts - Idea inbox: A reviewable feed of audience questions, saved hooks, and posts worth expanding. - Platform drafts: Drafts tuned for short posts, captions, longer essays, and replies with different levels of polish. - Portable examples: A file of source-backed examples that future agents can use instead of guessing your style. ## Source Signals - Instagram captions and comments - X posts and replies - Reddit comments - Newsletters and podcasts later ## Sample Prompts - Turn these comments into three post ideas. - Make this caption sound like me without over-explaining it. - Find the recurring topic I keep circling around. --- # AgentizeMe for Teams Audience: Small teams with visible leaders or subject-matter experts Keep expert voices consistent without flattening them. Standardize how AI helpers represent key voices, review public posts, and prepare engagement suggestions. Best for: Small teams where founders, devrel, product leads, or subject-matter experts need AI support without losing judgment. Setup: Start with one public voice. Add more people, review permissions, and private sources after the single-player loop works. ## Outcomes - Separate personal voice from brand voice - Review source-backed suggestions - Create exportable artifacts for multiple agents ## Problems - Team AI helpers blur personal voice, brand voice, and generic support tone. - Reviewers need to know which source justified a suggestion before trusting it. - Every new workflow recreates voice rules because the context is not portable. ## Workflow ### 01 - Start with one voice Build a single source-backed spec before introducing shared team rules or multiple reviewers. ### 02 - Add review surfaces Route draft suggestions, engagement opportunities, and export artifacts through explicit human checkpoints. ### 03 - Reuse the context Feed the same voice system into skills, content inboxes, reply workflows, and future internal agents. ## Artifacts - Voice registry: Separate specs for people and brand surfaces, with boundaries and source context attached. - Review queue: A workflow for draft ideas and reply opportunities that keeps approval explicit. - Agent context pack: Reusable files and prompts so each tool does not invent its own version of the same person. ## Source Signals - Public social profiles - Team Slack later - Docs and changelogs later - GitHub and support later ## Sample Prompts - Draft this reply as the founder, not the brand account. - Show why this engagement opportunity is worth reviewing. - Export the current voice rules for a support agent prompt.