For Remote Teams
Free to start · No credit card

Everyone on your team starts every AI session aligned.

One shared context layer. Product decisions, brand voice, team conventions—loaded automatically for every team member, in every AI tool, from day one.

Remote team using CacheTank
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The Problem

"New team members take weeks to onboard."

Context lives in people's heads. Onboarding is slow because nobody has time to write everything down. Async work means new hires waste days re-learning what everyone already knows.

"Your team's AI outputs sound inconsistent."

Same brand, five different AI voices. Everyone prompts differently because there's no shared AI context. Your product voice is fragmented. Your brand gets diluted.

"Decisions never reach the whole team."

Made in one tool or one session, lost in the next. Slack threads, Notion docs, email chains—context is fragmented. Your team operates in information silos.

The Solution

Team plan: shared context loaded for everyone

Team owner manages shared context—product decisions, brand voice, team conventions. Every team member loads it automatically in Claude. No context setup needed.

Personal + shared context for each member

Each team member gets shared team context plus their own personal context—their role, preferences, working style. Alignment without losing individuality.

Cache it captures team decisions in real time

Make a product decision. Say "Cache it." The decision updates team context instantly. Shared automatically. No extra meeting needed. Async teams stay aligned.

How It Works

1

Team owner sets up context

Document your product, brand voice, and team conventions. Load them into CacheTank's shared context layer.

2

Team members load shared context

Get a /ctx URL. Every team member loads it in Claude. Shared context available. Zero onboarding friction.

3

Team stays aligned across AI

Every team member's Claude session starts with the same product knowledge, brand voice, and decisions. Consistent outputs. Aligned work. No fragmentation.

Questions?

How do remote teams share AI context across Claude and other tools?

CacheTank's Team plan creates a shared context layer managed by your team owner. Document your product, brand, and decisions once. Every team member loads the /ctx URL in Claude. Shared context available instantly. No manual briefing needed.

What is a shared AI context layer for teams?

A shared AI context layer is your product knowledge, brand voice, team conventions, and decisions—structured once, loaded automatically for every team member in every AI tool. One source of truth for your whole team. No fragmentation.

How do I keep my distributed team's AI outputs consistent?

Load shared CacheTank context in Claude for every team member. Your brand voice, product knowledge, and team conventions are consistent everywhere. All team members get the same context. All AI outputs sound aligned.

Can CacheTank replace team onboarding documentation?

Yes. Store your product, team conventions, and brand guidelines in shared team context. New hires load the /ctx URL. Day one, they have access to everything a teammate knows. Weeks of onboarding compressed into minutes.

How do I give new team members instant context in AI tools?

Use CacheTank's Team plan. Your team owner manages shared context. New hires load the /ctx URL. They now have full product knowledge, brand understanding, and team conventions in Claude. No time spent re-explaining.

Pricing

Free

$0

Perfect for exploring CacheTank

  • ✓ 2 PROJECTS
  • ✓ Basic SELF layer
  • ✓ 10 Cache it per month
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Team

$8/week

For distributed teams and remote companies

  • ✓ Everything in Pro
  • ✓ Up to 5 team members
  • ✓ Shared team context layer
  • ✓ Automatic context sync
  • ✓ Priority support
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Pause anytime — 1, 2, 3, or 4 weeks. Your library waits for you.

Your team's knowledge, instantly accessible to everyone.

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