Stop Rebuilding Context Every Time You Use AI

The Problem

Your team uses ChatGPT and Claude without systematic coordination. Every AI interaction starts from zero. Different people get different outputs. Your content sounds generic, inconsistent, or just... not like you.

You're spending more time fixing AI outputs than you save using AI in the first place.

What You Get: 2-Week CommsOS Implementation

Week 1: Voice Extraction & System Architecture

• Working sessions to extract your actual voice from real communications (not aspirational brand guidelines nobody follows)
• Build decision trees: when does founder voice write vs. institutional voice vs. technical voice
• Document forbidden language patterns AI keeps grabbing from training data
• Create proof point inventory and capability boundaries

Week 2: Prompt Library & Validation Frameworks

• Prompt libraries for loading into Claude, ChatGPT, or any LLM
• Quality checklists that move from "I don't like this" to systematic validation
• System instructions: which components to load for which tasks
• Training session with your team

Deliverables (all in markdown (using Obsidian, portable across any AI tool):

• Company Overview (persistent context that prevents AI from starting at zero)
• Voice Definition with decision logic
• Audience Mapping with proof standards
• Forbidden Patterns library
• Prompt templates for common use cases
• Implementation handbook including system update guidelines.

What Changes?

Before:

• 15-30 minutes rebuilding context every AI interaction
• 5+ revision rounds per piece
• "That doesn't sound like us" but nobody can articulate why
• New contractors take months to learn your voice
• Strategic positioning lost in tactical execution

After:

• Load system once, use consistently
• On-brand outputs from first draft
• 1-2 revision rounds (for substance, not voice)
• Contractors productive in days, not months
• AI tools become force multiplier instead of constant editing job

Timeline & Investment

• Timeline: 2-week sprint from kickoff
• Investment: $1,500 (beta pricing ends March 30, 2026)
  Regular price: $5,000

Two Ways to Start

Option 1: Book Discovery Call
15 minutes, no pressure. See if it's a fit.
Book a Call

Option 2: Save Your Spot
Ready to go? Let's do this.

Limited to 6 beta clients. First come, first served.

This Works For

✓ Nonprofits, B Corps, DAOs, impact startups
✓ Teams of 3-15 people producing mid/large-team content volume
✓ Already using AI tools—just getting inconsistent outputs
✓ Technical complexity requiring precision, not marketing fluff
✓ At inflection point: fundraising, team growth, positioning shift, product pivot

✗ Content volume is low and founder writes everything personally
✗ You have full-time comms team with bandwidth to spare
✗ Brand consistency doesn't matter to your stakeholders

Current Beta Clients/Advisory Demos

Bast AI - CommsOS supporting $3M seed round communications and investor outreach
The Human Layer - Podcast production infrastructure and knowledge garden maintenance
Learning Economy Foundation (Advisory Demo) - Grant, events and positioning communications

FAQs

Can I use this with any AI tool?
Yes. System is built in Obsidian using markdown and works with Claude, ChatGPT, or any LLM. Not vendor-locked.

What if my team changes or we switch tools?
That's why you need CommsOS. System survives team turnover and tool migration. Markdown files sync seamlessly with Notion, Google Docs, Microsoft, and all modern word processing software. That's the point.

Do you write content for us?
No. This is infrastructure, not execution. I build the system that makes YOUR team better at using AI tools. Advisory practice, not agency.

What if we need ongoing support after implementation?
Advisory retainers available at $3-5K/month (3-month minimum) for system evolution and strategic guidance.

Can we start right away?
If you book this week, earliest start is week of Feb 17. I stagger implementations so each client gets focused attention.

What do you need from us?
~5 hours of your time over 2 weeks (working sessions + training). Access to authentic communications samples (founder emails, Slack messages, successful pitches). If samples are dated or not easily accessible, we can do an audio interview with core team to create the voice baseline. Willingness to be honest about what actually sounds like you vs. what you think you should sound like.

Questions?

Text me (on Signal): desertrat.10
Email: [email protected]

Built by Crystal Street

25+ years communications and production across photojournalism, blockchain ecosystems, explainable AI startups, and impact organizations.

Previous Comms+Production clients: Whole Foods Market, Nissan North America, Special Olympics, University of North Carolina at Chapel Hill, Oregon Public Broadcasting and Junior Achievements/World Bank

Former: Head of Marketing, Comms & Community at Fuel Labs (750K+ user mainnet launch), Director of Community at Consensys

Current: Fractional Head of Strategic Communications at Bast AI, Executive Producer of The Human Layer podcast, Founding Member of JournoDAO

LinkedIn | More details @ Build Your Communications Operating System