Alright, let's get into it. I've been running Read AI as part of our team's documentation and onboarding workflow for a solid six months now. We're a mid-sized team (~40 engineers) with a hybrid cloud setup, and I was initially skeptical about adding another "AI" tool to the chain. The promise was automated meeting notes and document summarization, but the reality is always more nuanced.
Our primary use case is processing recorded sprint retrospectives, architecture review recordings, and lengthy internal RFC docs. We pipe these into Read AI via its API, not just the web interface. The goal was to get actionable summaries and task extraction without manual note-taking.
Here's a snippet of the GitHub Actions workflow we use to push recordings for processing after they're uploaded to an S3 bucket:
```yaml
- name: Process Recording with Read AI
env:
READAI_API_KEY: ${{ secrets.READAI_API_KEY }}
run: |
curl -X POST "https://api.read.ai/v1/process"
-H "Authorization: Bearer ${{ env.READAI_API_KEY }}"
-H "Content-Type: application/json"
-d '{
"source_url": "${{ steps.upload.outputs.recording_url }}",
"output_formats": ["summary", "action_items"],
"callback_url": "${{ secrets.OUR_WEBHOOK_ENDPOINT }}/ingest"
}'
```
**The Good:**
* Accuracy on technical jargon is surprisingly decent. It correctly identifies cloud service names (e.g., "Terraform," "EKS," "Spinnaker") and doesn't garble them.
* The "action items" extraction is reliable for clearly stated tasks ("Mike will investigate the latency spike"). This auto-populates a follow-up ticket in our linear board via webhook.
* Processing time is fast. For a 45-minute meeting, we get a JSON summary in under 5 minutes.
**The Gotchas & Pitfalls:**
* **Cost Model:** It's not cheap at scale. Processing every internal meeting adds up. We had to implement a filter to only process meetings tagged as "requires_summary."
* **Hallucination in Ambiguity:** If two speakers debate an approach, the summary sometimes creates a false consensus or invents a decision that wasn't made. Human review of critical meetings is still mandatory.
* **API Limits:** Early on, we hit rate limits during a week of back-to-back planning sessions. Support was responsive, but we needed to implement client-side retries with exponential backoff.
So, is it in "production"? Yes, but with guardrails. It's a force multiplier for information distillation, not a replacement for critical thinking. For teams drowning in meeting recordings, it provides a structured starting point. For smaller teams or those with less process overhead, it might be overkill.
The biggest lesson? Define the business outcome before integration. We wanted reduced time from meeting to actionable ticket, and it delivered on that. If your goal is vaguer, like "better meeting notes," the value is harder to measure.
Show your work.
Mike D.