Need help with your agents?

What is the Build Any Agent Dashboard?

The Build Any Agent Dashboard is your command centre for accessing, managing, and interacting with AI Agents.

It offers a clean, navigable layout for launching agents, tracking recent activity, and grouping work into projects. It’s designed to feel familiar — like a productivity app with AI woven in.

Dashboard Overview: Key Areas

How to Use It

1. Find an Agent
   • Use the search bar or filter by portfolio.
   • Search by task type, e.g. “generate KPIs” or “prepare a grant bid”.
2. Start a Chat
   • Click an agent card to begin a new session.
   • You can speak or type — agents are voice-enabled where supported.
3. Pin Your Favourites
   • Click the star icon on an agent card to favourite it.
   • Your pinned agents appear at the top of your dashboard.
4. Group Your Chats
   • Assign chats to Projects for better organisation.
   • Projects help you track progress across complex or multi-agent work.

Tips & Best Practices

• Start each session by reviewing Recent Activity — it helps maintain continuity.
• Use portfolios to keep your workspace focused and role-relevant.
• If unsure, ask the agent: "What are you trained on?"

Coming Soon

• Initiatives View: Launch coordinated agent groups for common goals.
• Analytics Dashboard: Track your usage, accuracy, and ROI by agent or team.

What Are Build Any Agent Agents?

Build Any Agent Agents are trained, role-specific AI assistants designed to perform real business tasks.

They are built using Newton Day’s 5Cs Trust Model, which ensures every agent operates with clarity, governance, and transparency.

• Character – A defined personality or tone for building rapport and recall.
• Context – The scope, purpose, and role boundaries of the agent.
• Content – The documents, templates, and references the agent uses.
• Control – The rules, behavioural standards, and safety boundaries applied.
• Connectivity – System links that let agents interact with tools and data.

What Makes Build Any Agent Agents Different?

How to Use an Agent

1. Launch the AgentClick on the agent card from the Dashboard. A new chat opens — with the agent trained to help.
2. Ask What They DoUse prompts like: What are you trained on? or How are you different from ChatGPT?
3. Use Voice or TextAgents support both. Speak naturally or type your requests.
4. Access Templates & GuidesMany agents link to:
   • Working templates
   • Standardised protocols
   • Usage guides or brochures

Tips for Best Results

• Be specific: Include real context — “For this HR policy…” or “Based on this ESG template…”
• Ask for method: “What protocol are you using?” or “Can you show your steps?”
• Refine outputs: Apply your human judgement to tune and improve responses.

Working with Multiple Agents

Many workflows involve more than one agent. For example:

• Use a Proposal Writer alongside an ESG Compliance Agent
• Use HR Onboarding Agent with Policy Validator

Use Initiatives (coming soon) to bundle related agents and keep work cohesive.

Why Create Your Own Agents?

While Build Any Agent comes with a powerful library of pre-built agents, your team may need assistants tailored to a specific client, department, or process.

Creating your own agents allows you to deliver consistent, contextual AI support aligned with your organisation’s language, tone, and governance model.

How Custom Agent Creation Works

You can create agents in two ways:

• GPT Builder Interface – No-code design using structured prompts, roles, and uploads.
• Build Any Agent API – Advanced creation with integration to internal systems, workflows, or knowledge bases.

What Makes Up a Custom Agent

• Name & Role: What the agent does (e.g. “ESG Auditor”, “Event Planner”).
• Training Content: Upload protocols, playbooks, templates, FAQs, guidance notes.
• Protocols: Define steps, tone, and reasoning flow.
• User Profiles: Add nuance based on your organisation’s Primary User Profile or client personas.
• Code of Conduct: Embed brand tone, policy boundaries, and safety rules.
• Governance Framework: Apply the 5Cs model to structure behaviour and oversight.

Agent Design Workflow

1. Define the Role – Draft a clear agent job description.
2. Assemble the Content – Collect templates, documents, and reference materials.
3. Train Using Builder/API – Create and upload content into the Build Any Agent agent shell.
4. Test It – Chat with the agent and refine as needed.
5. Publish & Share – Assign to Portfolios, link to Initiatives, and make it available to others.

Governance Considerations

Custom agents are subject to the same governance structure as all Build Any Agent agents:

• Transparency: Every agent is editable, reviewable, and auditable.
• Control: Limit visibility, assign editors, and track performance over time.
• Ownership: Teams or individuals can manage their own agents with full accountability.

Tips & Best Practices

• Start with a clear, focused role — broad agents often fail to meet expectations.
• Use tested templates and protocols to ensure consistency.
• Document your agent’s training — link its origin story in the “About Me” prompt.
• Encourage others to improve agents over time — this is living software.

What Are Initiatives?

Initiatives are pre-configured bundles of AI Agents grouped around a common business objective. They allow you to launch a complete toolkit — not just a single assistant — to support workflows like onboarding, strategy design, or grant submissions.

Think of Initiatives as project-specific agent playbooks designed to save time and raise consistency across teams.

Why Use Initiatives?

• Reduce the friction of choosing agents one-by-one
• Accelerate adoption of best practices
• Encourage teams to explore the full power of the agent network
• Provide structure to complex, multi-stage tasks

What’s Included in an Initiative

• Name & Purpose: Clear title and goal (e.g. “Product Launch Toolkit”).
• Agent Set: Relevant agents grouped by function or phase.
• Workflow Guide: Instructions on when to use which agent.
• Templates & Docs: Shared resources built into agents.
• Progress Tracking: (Coming Soon) Visual indicators of progress through each stage.

Example Initiatives

• Deliver a Grant Bid – Bid Writer, Budget Estimator, ESG Verifier
• Build a Business Strategy – Purpose Synthesiser, KPI Generator, Stakeholder Mapper
• Onboard a New Team – HR Welcome Agent, Systems Access Guide, Learning Coach
• Run a Compliance Review – Risk Assessor, Policy Auditor, Documentation Agent

How to Use an Initiative

1. Select an Initiative – Browse or search in the Initiatives menu.
2. Review the Guide – Understand the agent roles and use sequence.
3. Launch Agents – Use agents individually or in suggested order.
4. Track Work – Assign chats to Projects and monitor outcomes.

Best Practices

• Use Initiatives for repetitive or multi-role tasks that span teams or tools.
• Pair Initiatives with AI First Training to build team confidence.
• Suggest new Initiatives to your support team — they’re designed to evolve with your needs.

Why Governance Matters

Build Any Agent Agents aren’t just chatbots — they’re embedded participants in your organisation’s workflows. That makes trust, transparency, and oversight essential.

Build Any Agent is designed to offer a governance model that supports agility without risk. It ensures AI works for your people — not around them.

Key Governance Features

• Private Cloud Hosting: Each client has a dedicated Build Any Agent instance with full data isolation.
• Transparent Agents: No black-box logic. Every agent’s logic, training, and protocols are editable and reviewable.
• Permissions & Roles: Define who can view, use, edit, or deploy agents.
• Protocol-Based Governance: Agents follow structured instructions, blueprints, and behavioural boundaries.
• Governance by Design: All agents are governed using the 5Cs Model (Character, Context, Content, Control, Connectivity).

Coming in Build Any Agent v1.2: Governance Dashboard

The upcoming dashboard suite will provide powerful insights for both users and supervisors:

For Users:

• Track how you use agents
• Provide feedback to improve them
• See which agents are most helpful in your workflow

For Supervisors:

• Monitor adoption and engagement
• Evaluate agent accuracy, frequency of use, and performance
• Review ROI and value for money
• Track ESG sustainability metrics and carbon offset from AI use

Benefits of a Unified Agent Network

By running all agents through the Build Any Agent platform:

• You gain centralised oversight with decentralised creativity
• Agent performance and governance is consistent
• You reduce fragmentation and improve scale readiness
• Adding, evolving, or retiring agents is easy — with no system sprawl

Governance Philosophy

Governance should never slow you down. It should give you the confidence to build, use, and evolve AI safely — with eyes open, not locked down.

That’s why Build Any Agent is built to be explainable, trainable, auditable — and always under your control.

What’s New in Version 1.2

The v1.2 release of Build Any Agent introduces a powerful dashboarding suite to help both users and supervisors see, measure, and improve how AI agents are used across the organisation.

This update turns AI from a tactical tool into a measurable asset — enabling smarter decisions, continuous improvement, and strategic clarity.

Dashboard Views

Dashboards are tailored to two core audiences:

1. User Dashboards

• Usage Overview: See your most-used agents, hours saved, and chat history trends.
• Feedback Panel: Submit direct feedback or improvement ideas for any agent.
• Prompt Effectiveness: Understand how your interactions perform over time.

2. Supervisor Dashboards

• Adoption Metrics: Track active users, usage frequency, and portfolio reach.
• Agent Accuracy & Impact: See value delivery by agent or team — including cost-benefit indicators.
• Lifecycle Tracking: Manage which agents are growing, stagnating, or ready for retirement.
• ESG Analytics: View the sustainability profile of AI usage across the org (e.g. estimated carbon offset, AI reuse vs waste).

Why It Matters

• Transforms Build Any Agent from a usage portal to a strategic cockpit
• Helps prove the ROI of your AI investment
• Encourages accountable innovation without micromanagement
• Lets teams own their agents — and improve them meaningfully

How to Use the Dashboard

Dashboards are accessible via the top navigation bar (icon) once v1.2 is live.

1. Click to view your personal or team dashboard
2. Filter by portfolio, time window, or agent group
3. Use filters and tags to deep dive into engagement or outcome metrics

Note: Feedback submitted from dashboards will route directly to the support or platform admin teams for review and iteration.

What Is AI First Training?

AI First Training is Newton Day’s signature enablement programme. It helps teams go beyond simply “using AI” — and instead teaches them to work intelligently with it.

The course is built for knowledge workers, managers, and decision-makers who need to understand how to:

• Design, improve, and supervise agents
• Develop AI fluency — not just AI access
• Use AI as a partner in everyday work

Course Overview

AI First Training is typically delivered in a one-day workshop or as five modular sessions:

• Session 1: Becoming an AI-First Business Leader
• Session 2: How AI Agents Think and Work
• Session 3: Understanding Agent Networks
• Session 4: Deploying AI in Real Work
• Session 5: Embedding AI-First Thinking in Your Culture

Why This Matters

• Most generative AI failures stem from lack of training — not tech.
• Without structured onboarding, agents are misunderstood or misused.
• This programme builds both confidence and capability.

What You’ll Learn

• How agents reason using Blueprints and structured protocols
• How to design your own agents using prompt architecture and job descriptions
• How to manage and evolve agents across time, use cases, and teams
• How to evaluate AI output using criteria like usefulness, sentiment, and compliance

Tips for Teams

• Pair this course with an Initiative — so learners apply what they learn to real work.
• Encourage team-wide participation to build shared language and best practice.
• Use feedback forms to improve your own agent library based on user learning.

From Training to Transformation

AI First Training is the start — but real transformation happens when teams build AI fluency into how they operate, share, and scale. That’s where capability embedding comes in.

This means turning isolated agents into everyday collaborators, and turning early adopters into internal AI champions.

The Three Phases of Capability Building

1. Understanding – AI First Training builds shared language and core habits.
2. Application – Teams use Initiatives and Projects to turn learning into output.
3. Scaling – Champions improve agents, share insights, and shape new capability layers.

Building an AI-Ready Workforce

• AI Champions: Nominate peer coaches or team leads who model agent usage and mentor others.
• Agent Ownership: Empower users to improve and iterate agents over time — making AI part of their job, not just a tool.
• Feedback Loops: Use built-in dashboards and team reviews to identify what’s working and where support is needed.

Culture That Supports Intelligence

True AI-first cultures are not tech-centric. They are growth-centric — focused on learning, sharing, and iteration. In this model:

• Knowledge workers help shape the tools they use
• Supervisors support experimentation, not just efficiency
• Governance is used to build confidence, not enforce fear

“We’re building an AI layer that sponsors innovation — not smother it.”

What Success Looks Like

• Teams deploy and improve agents without external intervention
• New hires are AI-confident within 30 days
• Best practices emerge from real-world usage — and are shared across the org
• Agent logic and methods evolve based on team input, not vendor cycles

Four Levels of Mastery

Role-by-Role OverviewBuild Any Agent User

“Fluent in AI conversation and capable of getting value from the system.”

• Launch, pin, group, and converse with agents
• Use Power Prompts and structured outputs
• Interpret agent scope and follow up intelligently

Credential: Certified Build Any Agent User

Build Any Agent Power User

“Can create, shape, and deploy agents using OpenAI tools and content protocols.”

• Use GPT Builder and OpenAI API
• Migrate GPTs into Build Any Agent with structure
• Apply Job Descriptions, Protocols, Persona Specs
• Run Synthesis-informed Initiatives

Credential: Certified Build Any Agent Power User

Build Any Agent Admin

“Owns the governance and operation of the platform in a company context.”

• Configure dashboards and permissions
• Manage agent versioning, rollback, and memory
• Apply Codes of Conduct and usage controls
• Monitor usage, agent health, and synthesis quality

Credential: Certified Build Any Agent Administrator

Build Any Agent Architect

“Designs and evolves the entire AI Agent ecosystem to support enterprise transformation.”

• Design agent systems aligned to business architecture
• Run enterprise-scale Synthesis
• Create strategic Initiatives across functions
• Define interaction patterns and AI lifecycles
• Collaborate across teams to evolve frameworks

Credential: Certified Build Any Agent Architect

Suggested Delivery Path

• Build Any Agent User → Power User → Admin → Architect
• Each level unlocks new toolsets, permissions, and strategic levers
• Training includes role-specific modules, hands-on tasks, and applied capstones

Build Any Agent User     →     Power User     →     Admin     →     Architect
 [Learner]          [Technologist]       [Custodian]     [System Designer]