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How it works

Plug in once. It gets sharper from there.

Katailyst holds the best skills, tools, agents, and knowledge in AI — curated, kept current, and shaped around your business. Here's how the four pieces fit together.

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skills, prompts, tools
instructions, examples, checks
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connected references
linked by when they help
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workflow hubs
for common workstreams
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agents
with defined roles
1

Put what your company already has in one place.

Skills (how your team gets things done), tools (the apps and APIs you trust), knowledge (audience, product, sources), voice, examples, and the rules you check against — whatever a smart new hire would need on Day 1. Bring it in once.

A support workflow can carry its skill (how to reply), tool (the helpdesk API), voice, escalation rules, and quality check together instead of each living in a different doc.

2

Connect the pieces that belong together.

Tag what goes with what: product, audience, workflow, quality rule. When work calls for one piece, the related pieces come along with it.

A campaign brief pulls its audience research, brand voice, ad-platform tools, and CTA rules without anyone having to remind it.

3

Every AI you use starts from there.

When work begins, the AI pulls the matching skills, tools, knowledge, and rules first. It already knows your work — the way your team would do it.

Instead of pasting four paragraphs of context into ChatGPT, the skills, tools, and knowledge just show up every time.

4

See what was used, improve what was not.

Every run leaves a trail: which skills, which tools, which sources, which checks. Promote what worked, fix what is stale, and keep the whole thing from drifting back to generic.

A weak example you spotted on Monday is a stronger draft by Tuesday, automatically.

What it helps with

Use it when the work needs more than a clever prompt.

support replies that already match your policy
campaign briefs your team has already approved
articles that already follow your brand
quality reviews using your real standards
AI tools that pass readiness checks first
clean handoffs from one AI to the next, with a clear trail

Start with one piece of work. The rest gets easier from there.

Bring in the skills, tools, knowledge, and rules that work needs. Then every AI you reach for — and every agent on your team — already knows it.