Swiftask uses the 2markdown connector to transform your disparate documents into a structured knowledge base, ready for your AI agents.
Result:
Save valuable time on data preparation and improve the accuracy of your AI agents' responses.
AI Agents
2markdown
Connector 2markdown · Secure OAuth 2.0
Most companies store knowledge in complex formats (PDFs, Docx, internal reports) that are difficult for AI models to parse effectively. The result: a fragmented knowledge base that is hard to maintain and underperforms.
Main negative impacts:
Unstructured data
Proprietary formats prevent AI from correctly understanding the hierarchy and relationships within your information.
Heavy manual maintenance
Manually converting every new document to Markdown is a massive time sink for your teams.
Poor AI performance
Without clean structure, your AI struggles to extract precise answers from your documents.
Swiftask automates the process using 2markdown. Your documents are converted into clean, structured Markdown, instantly enriching your knowledge base.
BEFORE / AFTER
Without Swiftask
An expert must manually copy-paste content from PDF reports into an AI-readable format. The process takes hours, errors are common, and updates are rarely performed.
With Swiftask + 2markdown
As soon as a new document is added to your reference folder, Swiftask detects it, processes it via 2markdown, and updates your knowledge base in real-time, with zero human effort.
1
STEP 1 : Connect your document sources
Integrate your document folders with Swiftask to centralize your raw data.
2
STEP 2 : Activate the 2markdown connector
Configure the 2markdown connector as an automatic transformation step in your workflow.
3
STEP 3 : Define structuring rules
The AI analyzes the document and applies a consistent Markdown structure to facilitate indexing.
4
STEP 4 : Feed your knowledge base
The Markdown file is automatically pushed to your knowledge base to be used by your agents.
Intelligent analysis of document structure: headers, lists, tables, and metadata for accurate conversion.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-2markdown@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Clean Markdown drastically improves your documents' readability for LLMs.
Automate the most tedious data preparation tasks.
Manage thousands of documents without increasing your workload.
Your knowledge base is always up-to-date as soon as a document is modified.
Eliminate errors related to manual file handling.
Swiftask applies enterprise-grade security standards for your 2markdown automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Conversion time | Several hours per report | A few seconds |
| AI accuracy | Low (frequent hallucinations) | High (structured data) |
| Maintenance cost | High (human resources) | Negligible (automated) |
| Document volume | Limited by manpower | Unlimited |
Save valuable time on data preparation and improve the accuracy of your AI agents' responses.