Use case · Startups
Shared AI workspace for startup teams
Startups rarely have a clean 20×$20 bill. Founders use Claude for product thinking, growth leads live in ChatGPT for copy, and three people still share one login. Intrascope gives you one workspace before the tool sprawl becomes permanent.
Cost comparison
What an 18-person startup actually spends on AI
Most seed-stage teams do not buy exactly 18 identical subscriptions, but the overlap adds up fast. Here is a realistic spread we see before teams centralize.
Typical setup
Scattered subscriptions
~$470/month in fixed seats
- 10 × ChatGPT Plus at $20 → $200/month for GTM, content, and ops
- 4 × Claude Pro at $20 → $80/month for founders and product
- 2 × ChatGPT Team seats at $25 → $50/month for shared access hacks
- 2 contractors with reimbursed Plus accounts → ~$40/month
- 3 light users still need a seat to access shared prompts → wasted spend
With Intrascope
Intrascope Business + managed usage
~$99 workspace + ~$55 usage ≈ $154/month
- $99/month covers up to 25 users, with room to grow without new seat math
- ~6.5M tokens/month across the team (drafting, research, internal docs)
- Heavy users on ChatGPT 5.5 and Claude; light users on ChatGPT (nano, micro)
- Usage dashboard shows who is burning tokens before it surprises you
- Manifests reduce repeat prompting, so fewer tokens to get the same output
Typical startup usage profile
Young teams iterate in bursts: launch weeks spike usage, then it flattens. A blended average often lands around 6-8M tokens/month for an 18-person company.
Heavy users (5)
~1.2M tokens each: founders, growth, product
Regular users (7)
~350k tokens each: ops, support, design
Light users (6)
<50k tokens for finance, advisors, part-time
Blended model split
55% ChatGPT 5.5 · 30% Claude · 15% ChatGPT (nano, micro)
Models startups actually mix
- ChatGPT 5.5 for landing pages, emails, and quick GTM drafts
- Claude for longer product strategy and positioning threads
- ChatGPT (nano, micro) for meeting notes and internal summaries
Common problems
What breaks when startups rely on personal AI accounts
- Founders keep investor narrative and positioning in personal Claude threads, not in a shared project.
- You pay for ChatGPT Plus for new hires before they have sent a single prompt.
- Engineers and GTM leads pick different models with no shared view of monthly token burn.
- When a early employee leaves, their discovery chats and launch prompts leave too.
How Intrascope helps
Built for how startups actually use AI
- Run fundraising, positioning, and launch work in separate projects with shared manifests.
- Let founders use Claude for strategy while ops uses ChatGPT (nano, micro) for summaries in the same workspace.
- Track which experiments actually consume tokens before you scale headcount.
- Onboard hire #12 into existing manifests instead of rebuilding prompts from Slack history.
Knowledge ownership
Startup knowledge should stay in the company
ICP notes, pitch iterations, and product decisions should not live in three founders' private chat histories. Intrascope keeps that context in manifests and projects so the team compounds learning instead of re-discovering it every quarter.
Your CFO and part-time advisor should not each require a $20 subscription to occasionally rephrase a slide. In Intrascope they share workspace access while heavy users draw from the same usage pool.
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