Encode the work once. Run it forever.
Playbooks are autonomous agents for enterprise work automation — your business logic written down as a plan an agent executes end to end, the same way, every time.
- Encodes your business logic
- Deterministic output
- Fewer tokens per run
- Scheduled and audited
Why enterprise teams put the work in a playbook
A chat gives you an answer. A playbook gives you a process — one that survives the person who wrote it and holds up in an audit.
Encode your business logic
Which sources count and how a figure is checked, written down.
Build once, run again and again
Write it with the agent once. The whole team reruns it on new data.
Deterministic output
Same steps, same tools, same shape of deliverable on every single run.
A fraction of the tokens
The plan is already written, so the spend goes into the analysis.
Scheduled and tracked
Put it on a cadence. Every run is logged with its inputs and outputs.
Auditable end to end
Every figure traces back to the row or document behind it.
A transcript is not a process
Chat is the right tool for a question you’ll ask once. Everything below is what changes the second time you need the same work done.
Just chatting
A good answer you can't reproduce.
- OutputVariesA different shape every run
- InputsAd hocA fresh prompt, freshly worded
- Cost per runUnknownThe whole thread, re-sent each turn
- SharingIn a DMTrapped in one chat history
- Running it againBy handRe-driven prompt by prompt
- Business logicUnwrittenIn the head of whoever asked
- Audit trailNoneScreenshots pasted into a doc
- When a step failsStart overRe-prompt the whole thing and hope
You got the answer once. Nobody else can get it, and neither can you next quarter.
With a playbook
A process that runs itself.
- OutputThe same deliverable, every run
- InputsNamed inputs the plan asks for
- Cost per runA fraction of the tokens
- SharingA playbook the whole team runs
- Running it againOn a schedule, unattended
- Business logicWritten down as steps and checks
- Audit trailEvery figure traces to its source
- When a step failsFix that step, rerun the plan
Write it with the agent once. The team reruns it on new data, on a cadence.
How a playbook gets made
- 1
Describe the work
Say what you need in plain language, as you would brief a new analyst.
- 2
The agent writes the plan
It drafts the steps, connectors and checks for you to edit.
- 3
Run it, schedule it, share it
Run it on your data, schedule it, hand it to the team.
Six of 25 playbooks that ship with Corvic
These are the real plans, not illustrations. Pick one to see every step, what it consumes, what it produces and how it is checked.
Run diligence-grade research on a company — firmographics, funding, investors, market sizing, team and competitors — using Crunchbase, Apify VC scrapers and DataForSEO plus the market-research and competitor x-ray skills, assemble a sourced single-file HTML diligence report, then verify every figure through a GLM-5.2 accuracy QA loop.
You'll get — Single-file HTML diligence report + Markdown verification log
The same preview the product shows before you adopt a template. Click any step to see what it uses and produces; scroll the canvas to follow the plan across.
19 more playbooks in the product
Tax prep, equity research, literature synthesis, SEO audits, RAG evaluation, inbox triage — and a blank one the agent writes for you from a description of your own process.