Prompt Shrinkercut Claude/GPT token costs 40-70% automatically

Paste any prompt and get a compressed, production-ready version in seconds. Keep output quality. Cut spend. Move faster.

Start for $9/month Go to Compressor

Built for AI-heavy teams spending $200+/month on model APIs.

Why teams switch from CLI-only tools

Problem

CLI workflows do not fit non-technical users and are hard to standardize across teams.

Hosted wedge

Web UI + API + billing means anyone on your team can optimize prompts and track usage.

The cost leak you can fix this week

Hidden token waste

Prompts are often 2-3x longer than needed. You pay for every token, every request, every day.

Slow iteration cycles

Manual prompt cleanup is tedious and inconsistent. Engineers stop doing it even when costs climb.

No team-level controls

Without hosted access control and usage caps, optimization gets stuck as ad-hoc individual work.

How Prompt Shrinker works

1. Paste the original prompt

Drop in system prompts, agent tasks, or one-off generation instructions.

2. AI rewrites for density

OpenAI/Anthropic-based rewriting keeps constraints while reducing token footprint.

3. Ship and monitor usage

Use the optimized prompt immediately and track monthly optimization usage per account.

Simple pricing for AI-heavy teams

One plan, one job: reduce recurring token spend without sacrificing output quality.

Launch Pricing

$9 / month

Unlimited seats, pooled usage, and monthly prompt optimization credits for your team.

300 high-quality compressions per month included
OpenAI and Anthropic-backed optimization engine
Webhook-verified subscription access and usage controls

Work email used at checkout

ROI snapshot

Teams running high-volume generation loops usually recover cost on day one.

Before Prompt Shrinker

$420 / month

Verbose internal prompts repeated across assistants and tooling scripts.

After Prompt Shrinker

$189 / month

Same output quality, tighter instructions, and lower latency under load.

FAQ

How does Prompt Shrinker keep output quality while removing tokens?

The compressor model is instructed to preserve hard constraints, expected output format, and acceptance criteria while removing repetition and loose phrasing. You also get risk notes for quick QA before rollout.

Can my team use this for system prompts and eval prompts?

Yes. The dashboard is designed for engineering teams who run prompts in production pipelines, test harnesses, and internal agent tooling.

What happens when I hit the monthly usage limit?

API calls are rejected until the next billing cycle. We expose your current usage in the dashboard so you can monitor runway in real time.

Do I need both OpenAI and Anthropic keys configured?

No. If one provider key is present, Prompt Shrinker uses it. If both exist, OpenAI is used first by default.

Ready to shrink spend?

Start compressing prompts in under 2 minutes.

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