Authexis

Overview

Tagline

Show up consistently. In your voice.

Internal operating principle (not the public tagline): "AI for execution, humans for judgment." See Principle 6 for the full stance on origin-vs-outcome.

Vision

You have ideas worth hearing. Most days there isn't time to write them down, the blank page is expensive, and the calendar slips past without you publishing anything. Authexis closes that gap — you bring the thinking, the platform does the drafting and the distribution, you approve everything that goes out. Your voice stays yours. Consistency stops being a heroic effort.

Who it's for

Three audiences, one platform. Each uses Authexis differently, but they all need the same thing: consistent, voice-authentic content without the grind.

Capabilities

Three integrated capabilities that cover the full content lifecycle.

The content pipeline

Not a multi-stage workflow with checkpoints. A simple back-and-forth between you and the AI:

1. Pick an idea (or write your own)
2. Set length and style — the AI adapts to your target
3. Answer interview questions — a few sentences in your own voice
4. Review the draft — redo, revise, or approve
5. Publish — to any platform, on your schedule

Four statuses: generating · interview · review · final.

Principles

These guide every product decision. When in doubt, refer here.

1. Your voice, not ours

Content must sound like the user's client — not like ChatGPT or a corporate blog. Voice via interviews, workspace personas, and revision cycles. No generic tone presets.

2. Control at every step

Users approve or revise at each checkpoint. The platform proposes. You decide. No black-box "here's your article." No auto-publishing.

3. Signal over noise

Every feature reduces time-to-insight. The product should be simpler than the user expects, not more complex.

4. You control what goes out

No algorithmic surprises. You define the schedule, approve the content, pick the platforms. Consistency over virality.

5. Own your data

Standard formats in, standard formats out. Markdown / PDF / DOCX export with full metadata. REST API. Settings > API manages workspace keys + MCP voice-draft activity. No lock-in.

6. Everyone gets their ideas out — judge the outcome, not the origin

Some people don't have time to write consistently. Some have neurodiversities that make the blank page expensive. Some are writing in a professional-prose style that isn't native. All of them have ideas worth hearing.

The rule we judge by is the outcome, not the origin. If the piece lands, and the thinking is the user's, the work is legitimate. AI-assist is in the same reference class as Grammarly, spell-check, a good editor.

Carve-outs where origin matters: compensation, legal responsibility, attribution agreements, autobiographical genres. Tier-1 bylines, books, and academic submissions are out of scope.

Fuller argument: On the Death of the Author and the Birth of the Detector · The Selective Morality of Job Loss · We Always Panic About New Tools.

7. We're the team, not the shortcut

Authexis isn't "let AI do all my work for me." It's a proper team — interview, draft, edit, schedule, publish — supporting an ordinary way of getting ideas out the door. Faster and more automated, yes. But every step is real work. Nothing is faked. Nothing is skipped.

This is the dividing line from "AI writing tools." Those products say let the AI write it for you. We say you have the ideas; here is the production team that gets them out the door. Output looks similar from the outside; the relationship to the work is completely different.

Positioning

Key differentiators

1. vs. ChatGPT/Jasper — we interview you first, then draft in your voice with your perspective built in
2. vs. ghostwriters — $67-199/client/month vs. $1,500-2,000/month; you control the voice; faster turnaround
3. vs. scheduling tools (Buffer, Hootsuite) — we create the content, not just post it
4. vs. separate tools per function — one platform replaces writing + scheduling; one voice profile carries through

Navigation

Authexis (logo)

+ New idea

OVERVIEW
  Dashboard
  Briefings

CREATE
  Ideas
  Series
  Content

DISTRIBUTE
  Calendar
  Social queue
  Blog queue
  Social slots
  Blog slots
  Publish log
  Newsletter

SETTINGS
  Preferences
  Integrations
  Feedback

ADMIN
  Dashboard
  Settings
  Users
  Workspaces
  Content
  Prompts

Pricing

Flat fee per workspace. No per-seat fees. The ML is the only user. The platform is invisible to end clients. No commission on what the ML charges clients — clean separation. Personal onboarding included.

Team tier remains active for existing subscribers and admin-assigned workspaces; not offered on public pricing.

Pricing logic

Anchor against copywriter cost ($1,500-2,000/month per client), not against other SaaS tools. $99 entry point is a fraction of one ghostwritten article.

Phase-1 recruitment thesis (free tier)

"Find 3 case-study users willing to pay $99" is a slow, narrow funnel — the people willing to pay before they've used it are not the people who'd most benefit. "Let anyone try it, ones who love it self-identify" is a faster, wider funnel that produces both signal and conversion candidates. Category parity: Bloomberry, Oiti, EasyGen, Meet Sona are all freemium.

Brand colors

Warm brown-to-cream palette. Defined in web/app/globals.css.

Architecture

Three-tier:

• Web (tier 1) — Next.js on Vercel: app UI, marketing site, server components
• Database (tier 2) — Supabase: auth, PostgreSQL, realtime, RLS
• Engine (tier 3) — Python on Railway: AI generation (Claude Sonnet), content pipeline, publishing, scheduling, command processing
• Apple — Universal Swift/SwiftUI app in apple/ (iOS/iPadOS/macOS) via Supabase direct access. Legacy ios/ is read-only reference.

Content data model

All content fields are stored as proper columns on the contents table:

Success metrics

Out of scope for now

• Team collaboration (comments, approvals, editing) — content creation is personal; one voice = one person per profile.
• SEO optimization tools — keyword tagging is in; readability scores / SERP analysis are out. Thought leadership ≠ SEO content farming.
• Video/podcast editing — podcast RSS + TTS audio is available; full editing (waveform, mixing) is out. Transcript stage accepts manual paste from Otter/Descript.
• CRM integration — content tool, not lead gen tool.
• Translation / localization — English-language market is large enough for now.
• White-label branding — agencies can co-brand but platform remains Authexis.
• Content reading / RSS curation — that's Eclectis.
• Professional documents (case studies, white papers) — planned but deferred.
• Analytics dashboard — planned but deferred.

Deployed lead magnets

Top-of-funnel acquisition surfaces currently in market. Truth-source for SEO prompts and lead-magnet planning.

Free tools

Blog posts (lead magnets)

Radar context

ICP (ideal customer profile)

Three lanes: (1) Solo thought leaders building personal brands — founders, consultants, executives with expertise but not time. (2) Marketing consultants managing content for 3-25 clients at $1,500-3,000/mo per client — Authexis replaces copywriter cost. (3) Internal marketing teams producing for their company — need a repeatable pipeline, not a stack of tools. All three are tech-comfortable but not developers. Care about voice authenticity, turnaround, consistency.

Competitors

Competitive dynamics (April 2026)

Pressmaster.ai is the closest competitor. Conversational interview mode on Pro ($72/mo); "Hook & Angle Performance Simulation." Moving in Authexis's direction but from PR/thought-leadership-PR angle. Agency plan $699/mo vs. Authexis Team $249/mo.

Copy.ai has abandoned us. April 2026 pivot to GTM/sales automation — no longer competing for content creation. Opening for Authexis to own the category cleanly.

Bloomberry is the voice-moat threat. Training persistent voice models for founders. No interview pipeline, no distribution, no multi-client — but the voice capture is on our turf.

AI visibility tracking is a new category. Sight AI, AI Growth Agent emerging to track citations across ChatGPT, Perplexity, Gemini. Nobody has built this into a content production platform yet.

Market signals (April 2026 radar)

LinkedIn algorithm March 2026 "Authenticity Update"

• Organic reach dropped 50% for creators using outdated playbooks
• NLP classifiers actively penalize engagement-bait prompts
• New "depth score" rewards sustained topic coverage
• 70% of users are ghost scrollers — attention is the metric, not likes
• AI template-style content deprioritized algorithmically
• Original content = 95% of AI citations; reshares 5%

Thought leadership ROI is measurable

• Cardinal40 (April 2026): high-quality CEO thought leadership drives avg $367M shareholder value
• Published executives report 3× more inbound leads than non-published peers
• Fortune 100 estimate $3.6M annual ROI from thought leadership
• Quality beats volume — weak TL correlates with neutral/negative outcomes

AI content saturation

• 52% of new online content is AI-generated in 2026
• Buyers drowning in "sameness" — content that gets read takes a real position
• AI with human strategic oversight performs 4.1× better than fully automated
• Industry baseline: rewrite 30-50% of any AI draft — Authexis's interview pipeline closes this gap

Newsletter growth

• 28B emails, 255M unique readers, 41%+ open rates (Beehiiv 2026)
• Substack announcing ads — creators looking for platform-independent workflows

Differentiators (radar lens)

1. Interview-first pipeline — no competitor captures voice through structured interviews before drafting (Pressmaster.ai closest; their interview mode is a Pro add-on, not the core mechanic).
2. Per-client voice profiles — learned voice from actual interview responses; Bloomberry does voice learning but single-author.
3. Full pipeline in one tool — ideation through cross-platform publishing.
4. Agency economics — priced against copywriters ($67-199/client), not other SaaS ($20-50/seat).

Pitches filed — April 2026

Pitches filed — April 17, 2026

Pitches filed — April 23, 2026

Pitches filed — April 24, 2026

Competitive updates — April 23-24, 2026

Claude Opus 4.7 (April 16). High-resolution vision (~2.2× prior), better chart/PDF/table interpretation, file-system memory across long sessions. Three pitches (#2211 visual intake, #2213 MCP, #2215 personas) directly enabled by capabilities <2 weeks old.

Beehiiv launched native podcast hosting, webinars, paywalls (April 23). 400M readers, $28M ARR crossed this month. Newsletter/podcast distinction collapsing on a platform Authexis already integrates with. Pitch #2214 lands here.

Oiti leveled up voice capture. "Long-term memory smarter with every chat" + ingests YouTube, articles, meetings, competitors' LinkedIn. Continuous passive learning — opposite of Authexis's structured interview. Still LinkedIn-only. Voice-moat threat deepening.

"Owned line" is the 2026 thought-leadership frame. MarketingProfs, Averi converging on: original reframe is the growth lever. Data: 3 high-quality posts/week → 340% more inbound than daily AI-generic. Pitch #2212 (owned-line coach) targets this directly.

Voice-first thought-leadership is a named category. Meet Sona, EasyGen, Leaps all use voice as primary input. Whisper is already in the codebase — voice memo input (#2217) is prompt engineering + UI, not ML infra.

MCP ecosystem matured. MCP donated to Linux Foundation Dec 2025. Q1 2026: GA4, Google Ads, Meta Ads, Search Console, Stripe, HubSpot, Notion, Linear, Gmail. Competitors pitching "pull analytics into Claude." Nobody pitching "pull your work artifacts into a content interview." Pitch #2218 targets that gap.

HBR is the most-cited publication across AI search engines. Landing in HBR compounds visibility in ChatGPT / Perplexity. HBR's March 2026 piece "Has AI Ended Thought Leadership?" signals editorial stance is actively debating — unusually open window for AI-era executive bylines.

Channels to monitor