01
Prompts
Shape instructions, context, and constraints for clearer and more useful AI outputs.
Context · intent · constraints
AI AUTOMATION
Agents, advisory, and training for real work
Put AI to workBeyond the prompt
We design autonomous and workflow agents, advise on machine learning and deep learning, fine-tune generative AI, and help teams build practical AI skills.
Start an AI workflow brief
Start with a workflow to improve, a model question, or a team capability gap
Practical AI for real workflows · Human judgement stays in the loopExplore services
Claude · workflow designbrainorth / discovery
›Help me improve a customer support workflow with AI
Map the steps, tools, context, and human review
✓Defined the task and decision points
✓Mapped agent and automation options
✓Added review and escalation paths
●Preparing a plan for team review
✓Workflow outline ready
✓Human review included
↗Ready for team review
support triage · conceptConcept
Support OpsInboxWorkflowKnowledge
SUPPORT TRIAGE WORKFLOW
Less manual sorting, clearer next steps
Review suggested responses ↗View workflow
brainorth / workflow review
Review the proposed automation
SUPPORT-TRIAGE
Classify and draft responses× Require review before sending
PRACTICAL AI, BUILT WITH YOU
Human review where it matters Fit to your real workflows Training that supports adoption
01 TRAINING & ENABLEMENT
Build practical AI fluency
That carries into the work
Hands-on training shaped around the people, tools, and tasks your team works with every day.
02
Artifacts
Create reusable documents, prototypes, and structured outputs with AI.
Useful, editable outputs
03
Skills
Turn repeatable instructions and workflows into capabilities people can use again.
Repeatable know-how
04
Co-Works
Build a practical rhythm for collaborating with AI during everyday work.
Human + AI collaboration
05
Agents
Learn to brief, test, supervise, and improve autonomous and workflow agents.
Scope · test · refine
06
Re-skilling
Help people adapt their skills and routines as AI becomes part of the workflow.
Team enablement
Tools and frameworks we work with
✳Claude
◎ChatGPT
◇LangGraph
⌘LangChain
△ADK
↗n8n
ILLUSTRATIVE AI WORKFLOWS
Examples of problems AI can help teams handle
SUPPORT TRIAGE
Classify incoming requests and draft responses for human review
Review suggested responsesRequest→AI draft→Review
WORKFLOW ROUTING
Connect routine tasks across tools with clearer handoffs
Forms · decisions · notifications
Trigger→AI step→Action
MODEL REVIEW
ApproachCompare
ContextUse case
Next stepReview
KNOWLEDGE ASSISTANT
Where can I find the current process?
Search approved internal guidance and bring the relevant context into the answer.
Ask your knowledge base↗
DOCUMENT WORKFLOW
Turn repetitive document work into structured outputs
Review extracted detailsRESEARCH BRIEFAI
Turn scattered information into a useful first draft
Sources organizedContext checkedBrief prepared
02 SERVICES
AI that fits the work
Not the other way around
From autonomous agents to model advisory and team training, we help you choose a practical approach for the task at hand.
AI AGENTS
Autonomous agentsHandle defined tasks with clear boundaries and oversight
Workflow agentsCoordinate repeatable steps across tools and teams
Custom AI agentsShape agent behavior around your use case
AI, ML & ADVISORY
Machine learning advisoryGuidance on ML strategy and implementation choices
Generative AI fine-tuningAdapt model behavior for domain-specific tasks
Deep learning advisoryTechnical direction for deep learning approaches
TRAINING
PromptsClear instructions and useful context
ArtifactsReusable AI-assisted outputs
SkillsRepeatable capabilities for everyday work
Co-WorksCollaborate effectively with AI
AgentsBrief, test, and supervise agent workflows
Re-skillingAdapt skills and routines as work evolves
03 WAYS TO WORK TOGETHER
Start with the challenge
Shape the right next step
Choose the area you want to explore. Scope and delivery can be shaped around your workflow, model, and team.
AI agent design
For autonomous and workflow agents
- Map tasks and decision points
- Define tools, handoffs, and review
Machine learning advisory
For model strategy and technical decisions
- Machine learning guidance
- Deep learning advisory
Generative AI
For domain-specific model behavior
- Fine-tuning considerations
- Evaluation and iteration planning
Team training
For practical AI skills and adoption
- Prompts, artifacts, and skills
- Agents, Co-Works, and re-skilling
We start with the problem to solve, then choose the tools and approach that fit.
04 QUESTIONS
Good to know
Before you begin
Straight answers about AI agents, model advisory, training, and tools.
Explore servicesAutonomous agents can work toward a defined goal with a degree of flexibility. Workflow agents connect steps across a process. We help you choose the right level of autonomy, tools, and human review for the task.
Yes. Brainorth offers machine learning advisory and deep learning advisory to help teams think through technical direction, model choices, and how an approach fits the problem.
Fine-tuning is part of our generative AI offering. The right approach depends on your task, examples, data, and how you will evaluate the model.
Training covers prompts, artifacts, skills, Co-Works, agents, and re-skilling. The emphasis is practical use: applying the tools to real tasks while keeping people involved in important decisions.
Our toolset includes Claude, ChatGPT, LangGraph, LangChain, ADK, and n8n. The right combination depends on the workflow, existing stack, and level of control the use case needs.
No. You can start with a repetitive task, a model question, or a capability gap. We can help frame the problem before deciding whether an agent, workflow automation, fine-tuning, advisory, or training is the better fit.
LET’S START WITH THE WORK
Make AI practical
For your people and process
Bring us one repeatable task, a model question, or a training goal. We’ll help shape a sensible next step.
Create an AI workflow brief
Copy a short starting brief for planning your first AI workflow or team training session