Build AI agents for content creation workflows
Draft in your voice, verify every claim, and turn calls, documents, and customer conversations into multi-channel content.
Works with
Powering the best marketing teams
Built for content marketers, editorial teams, agencies, and creators
Turn the Brookline Health customer call from yesterday into a publishable case study in our voice.
I extracted the key points from the Brookline Health call and drafted a case study. Here is the structure:
Title: How Brookline Health Cut Reporting Time by 60% with Automated Data Pipelines
Key Quotes Extracted:
| Quote | Speaker | Timestamp | Usage |
|---|---|---|---|
| "We were spending 2 days a week just pulling reports" | Dr. Lauren Chen, VP Ops | 4:23 | Opening hook |
| "The ROI was obvious within the first month" | Mark Diaz, IT Director | 18:41 | Results section |
| "Our team actually trusts the numbers now" | Dr. Lauren Chen | 31:07 | Closing |
Draft Sections:
- Challenge: Manual reporting across 3 EHR systems consuming 40+ hours/month
- Solution: Automated data pipelines consolidating patient volume, revenue, and satisfaction metrics
- Results: 60% reduction in reporting time, 99.2% data accuracy (up from 87%), $142K annual time savings
The full 1,200-word draft is ready in Google Docs with source citations mapped to transcript timestamps. Each claim links back to the original quote. Want me to send it to the editorial channel for review?
Recent outputs
4 items
| Output | Status | Action |
|---|---|---|
| Transcript to article | Ready | Approve |
| SEO briefs | Watching | Review |
| Fact checks | Queued | Route |
| Brand review | Routed | Schedule |
Customize your agent
Give your agent superpowers by connecting apps
Google Docs
Notion
Perplexity
Slack
Gmail
Outlook
Discord
Google Sheets
Google Calendar
Google Drive
Google Maps
Linear
Jira
GitHub
PostgreSQL
HubSpot
LinkedIn
ApolloWGoogle Docs
5 Tools- Transcript to article
- SEO briefs
- Fact checks
Build content agents once and refine their voice over time.
Connect your tools
Connect docs, knowledge bases, CMS, Slack, email, and research tools so source material is available.
WAdd custom skills
Teach the agent your voice, approved claims, source policy, and content format rules.
Cite every claim
No stat, quote, or customer point ships without an original source.
Use house style
Apply your tone, banned phrases, and editorial structure before review.
Repurpose with intent
Convert one source into formats that fit each channel instead of generic snippets.
Use deeper reasoning for synthesis and fast checks for recurring style, links, and structure audits.
Interact with agents like colleagues
Tag @Spinrun in your favorite channels and ask questions. Replies come back with sources and clear next steps.
#content
Turn the Brookline Health customer call from yesterday into a publishable case study in our voice.
I extracted the key points from the Brookline Health call and drafted a case study. Here is the structure:
Title: How Brookline Health Cut Reporting Time by 60% with Automated Data Pipelines
Key Quotes Extracted:
| Quote | Speaker | Timestamp | Usage |
|---|---|---|---|
| "We were spending 2 days a week just pulling reports" | Dr. Lauren Chen, VP Ops | 4:23 | Opening hook |
| "The ROI was obvious within the first month" | Mark Diaz, IT Director | 18:41 | Results section |
| "Our team actually trusts the numbers now" | Dr. Lauren Chen | 31:07 | Closing |
Draft Sections:
- Challenge: Manual reporting across 3 EHR systems consuming 40+ hours/month
- Solution: Automated data pipelines consolidating patient volume, revenue, and satisfaction metrics
- Results: 60% reduction in reporting time, 99.2% data accuracy (up from 87%), $142K annual time savings
The full 1,200-word draft is ready in Google Docs with source citations mapped to transcript timestamps. Each claim links back to the original quote. Want me to send it to the editorial channel for review?
Keep them watching in the background
Schedule recurring checks, alerts, and digests so your agents keep working when chat is quiet.
Draft Audit
On every draft
Source Refresh
Daily
Content Brief
Weekly
Share with your team
Editors own style, PMM owns positioning, and writers review every draft before publishing.
Lejla
Admin
Katherine
Editor
Rahul
Viewer
Watch them get smarter
Every accepted edit and corrected source teaches the agent how your team publishes.
Enterprise-grade
With enterprise-grade infrastructure and security
SOC 2 Type II
Independently audited security controls and compliance reporting.
Scoped app access
Each connector runs with explicit account context and least-privilege scopes.
Role-based access
Admin, Editor, Viewer roles with audit trails on every agent action.
Human approval gates
Sensitive writes can pause for review with diff and evidence attached.
Source-backed work
Outputs keep references to records, files, messages, transcripts, or URLs.
Audit logs
Every prompt, tool call, and write is logged for compliance review.
SSO + SAML
Bring your identity provider — Okta, Azure AD, Google Workspace, more.
Usage monitoring
Track agent runs, model costs, and tool calls per team and per workflow.
Resources to help you go further
Implementation guide
How to roll out build ai agents for content creation workflows with approvals and audit trails.
Connector checklist
Recommended apps, scopes, and fallback steps for Editorial, PMM, Demand Gen, Founders.
Agent review playbook
A practical review flow for prompts, monitors, team roles, and recurring runs.
Tasks automated to date
931,877,758
Build the content agent your team will actually use
Every accepted edit and corrected source teaches the agent how your team publishes.