AI Agent Development

Research AI Agent Development

Develop smart bodies around scientific questions and answers, data processing, process automation and reporting generation to enable models to access tools, implement steps and work together on traceable tasks.

Presentation of scientific intelligence development
01

Solution Overview

Repetitive data processing, literature retrieval, report writing, tasking, script calls and internal system connections for scientific teams to build controllable scientific intelligence. The system allows task-by-tagger dismantling of steps, access to tools, access to the knowledge base, generation of intermediate results and output of auditable records to upgrade AI from a single question-and-answer session to an enforceable scientific workflow.

TaskingDismantling complex needs into enforceable steps
Tool CallConnecting scripts, databases, documents and internal systems
Multi-Intelligence SynergiesRetrieval, analysis and clearance by role division
Result OutputGenerate reports, tables, graphs and process records
02

Applications

  • Scientific literature search, digesting, knowledge base question-and-answer and reference tracking
  • Data cleansing, batch mapping, table processing and automatic reporting generation
  • Computation of simulation task preparation, parameter checks and summary results
  • Automation of internal service processes for procurement, testing, project progress, etc.
  • Wants to re-enclose the usual SOP as a reusable AI job entry
Scientific mission access, dismantling and intelligent process organization
Job Dismantling
Dismantling and process organization of scientific missions
Tasking
Smart body call tools and data sources
Tool Call
Multi-Intelligence Co-generation Delivery Results
Coordinated delivery
03

Overall process

1. Definition of sceneMission boundary
User Roles
2. Capability designList of tools
Sources of knowledge
3. System-buildingPhrasing
Workstream Configuration
4. Convergence testingTask Sample
Unusual treatment
5. Application optimizationExperienced modulation
Permission Controls
6. Deployment deliveryUse of training
Maintain italics
04

Technical modules

  • Workstreaming:Dismantling manual steps into reusable nodes, specifying how to enter, output and process anomalies.
  • Tool & Data Connection:Access to local scripts, knowledge bases, file systems, databases or enterprise-wide interfaces.
  • Controlled output:Risk reduction of model freedom through templates, validation rules and manual identification points.
  • Audit and maintenance:Maintain key process records to facilitate redaction, iterative and authority management.
05

Project value

Reducing duplication of effortSeal stationary scientific steps into reusable automated processes
Improving the effectiveness of collaborationSynergy between retrieval, analysis, audit and delivery
Enhancement process is manageableConstraint the quality of results by means of tools to call, privileges and validate nodes
Easier for continuous expansionFollow-up could gradually add new tools, new knowledge base and new scenes