Six Ways to Make AI Work: Learn from Big Announcements at Chipp Con

We announced the Chipp Six at Chipp Con 2025 in Fargo - the six features helping AI evolve from an individual productivity hack to genuine business teammate. Learn more about these new featuers.

Jul 30, 2025

Last week in Fargo, we hosted our second annual Chipp Con. It was awesome.

So fun, in fact, that Forbes dubbed Fargo an “AI Hub.”

Builders from around the world gathered to explore what's become the defining question of the moment: How do we move AI from being just another tool to becoming a true team member?

If last year's Chipp Con was about exploring what was possible with AI, this year was all about teamwork. Not just teamwork with AI, but teamwork with each other as we collectively build the future of how businesses actually use artificial intelligence.

The numbers tell a compelling story:

75% of us are using AI for knowledge work, but only 13% of companies report significant impact. (Accenture, 2025)

We're essentially "robots in hiding," using AI personally but not unlocking its potential organizationally. That gap is exactly what we're here to solve.

The State of AI: Beyond Personal Productivity

Here's what we've learned from working with over 14,000 builders who've created more than 100,000 AI applications: There's a massive difference between AI as a productivity booster and AI as a business transformation tool.

When used properly, one person working with AI creates the same quality output as two people working together (Mollic et al, 2025).

For many of us, AI has become the "second best option":

When you don't have legal counsel next to you, use AI.
When you don't have an HR expert available, use AI.

It's democratizing access to expertise that was previously out of reach for individuals and small teams.

But here's the challenge: Most businesses have information unique to them.

When using a general pre-trained model (the P in GPT is pre-trained), the AI is, well, general and boring.

It gets powerful when professional knowledge is added to the world knowledge that the AI already has.

In short: business are stuck using general world knowledge (that pre-trained information that exists on the internet) when what they really need is the combination of world knowledge + professional knowledge (specific to their business) + personal knowledge (how they like to work and receive information).

That's where the Chipp Six comes in: six core capabilities that transform AI from a simple chat interface into a powerful business system.

1. Control: Your AI, Your Rules, Your Voice

The first pillar of effective business AI is control: the ability to make AI respond exactly how your business needs it to respond.

With Chipp, you're not locked into a single model or a one-size-fits-all approach. You can choose from public frontier models (ChatGPT, Claude, Gemini) as well as open-source models based on the specific context window and capabilities you need. Then, train each one with precise prompts that define the AI's role, instructions, and parameters.

This isn't just about getting better responses; it's about brand consistency and professional standards.

When your customer service AI responds to inquiries, it should sound like your company.
When your internal research tool provides analysis, it should follow your organization's frameworks and methodologies.

The power of model flexibility means your business logic, API connections, and custom actions aren't tied to a single AI provider. As new models emerge or pricing changes, you can adapt without rebuilding your entire AI infrastructure. Your instructions, integrations, and workflows remain constant while you optimize for performance and cost.

We've built custom actions that integrate with calendars, meeting schedulers, and countless other business tools. But more importantly, we've made it possible to import and generate these connections automatically, removing the technical barriers that have kept AI siloed from your existing business systems.

2. Ground: Ensuring Accuracy Through Knowledge Control

Grounding might sound like technical jargon, but it's actually the solution to one of AI's biggest business challenges: accuracy and source control.

When we say an AI agent is "grounded," we mean it's drawing answers from your specific knowledge sources rather than the broader internet. This is crucial for businesses that need to protect their expertise, maintain brand consistency, and ensure accuracy.

Take our partners at IFDA (International Food Service Distributors Association), who sell research to members worldwide about tariff information, food prices, and industry salaries. They can't have their AI citing random internet sources—every response needs to come from their proprietary research, properly cited and footnoted.

Chipp's grounding capabilities include:

Source restriction: AI only draws from your uploaded documents, databases, and approved knowledge sources
Citation tracking: Every response includes footnotes showing exactly where information came from
Relevance scoring: Understanding how closely each response relates to your source material
Quality evaluation: New features to continuously assess whether your knowledge sources are producing accurate, helpful responses

This level of control is essential for industries like legal, healthcare, finance, and consulting, where accuracy isn't just important; it's legally required. But it's equally valuable for any business that's built expertise and wants to scale that knowledge without diluting its quality.

3. Monitor: Understanding Usage and Ensuring Safety

The third pillar is monitoring: not just seeing what people ask, but understanding patterns, identifying opportunities, and ensuring safety.

Chipp's chat logs give you visibility into every conversation, sortable by source (API, web, internal). Our new tags feature takes monitoring to the next level.

Tags allow you to monitor for specific topics or conversation themes automatically.

Here's how it works in practice:

For Growth: Tag conversations about "investment advice," "pricing questions," or "competitor mentions" to identify sales opportunities and market intelligence.

For Safety: Tag conversations showing signs of distress, inappropriate requests, or topics outside your AI's intended scope. This was originally requested by schools needing to ensure student safety, but applies to any organization with responsibility for user wellbeing.

For Quality Control: Tag conversations where users express frustration, report errors, or ask questions your AI can't answer well, giving you a roadmap for improvement.

Each tag can be configured with:

Sensitivity levels: Strict matching for specific phrases or broad pattern recognition
Custom responses: Automatic replies that redirect conversations appropriately
Webhook integration: Automatic notifications to your email, Slack, or CRM when tagged conversations occur

This isn't just passive monitoring; it's active business intelligence. When someone has a conversation with your AI about booking a consultation, that can automatically trigger a follow-up sequence. When patterns emerge showing common questions you're not handling well, you know exactly what knowledge to add.

You're also monitoring users themselves: seeing who's engaging most heavily, which features drive the most value, and who might be ready for upsell conversations.

4. Share: AI Everywhere Your Team Already Works

The fourth pillar addresses one of the biggest challenges in AI adoption: getting people to actually use it.

The best AI tool in the world is worthless if it sits unused because it requires people to change their workflow. That's why Chipp focuses on meeting people where they already work:

Web Integration: Traditional chat widgets and embedded iframe experiences for your website, but with your branding and knowledge base.

API Access: For developers building AI directly into existing products and workflows, with tools like Replit and Lovable already integrating Chipp capabilities.

Slack Integration: Deploy AI agents directly into Slack channels where teams already collaborate. Tag the AI bot, ask questions, get responses in threads that the whole team can join and continue. Perfect for daily research briefings, competitive intelligence, or accessing company knowledge.

WhatsApp Business: For global teams and customer service, bringing AI conversations to the messaging platform with the widest reach.

Progressive Web Apps: As of this Chipp Con, you can now deploy any Chipp agent as a mobile app that installs directly on phones and tablets. This is game-changing for field teams, contractors, and anyone who needs AI assistance while mobile.

Team Workspaces: The new HQ feature creates dedicated spaces where multiple AI agents live under a single branded experience, perfect for agencies serving clients or companies offering AI tools to customers.

The key insight: AI adoption isn't a technology problem, it's a change management problem. By bringing AI to existing workflows rather than creating new ones, you eliminate the friction that kills most AI initiatives.

5. Protect: Privacy, Security, and Brand Control

The fifth pillar is protection—ensuring your data, brand, and competitive advantages remain secure while using AI.

Data Privacy: Every Chipp conversation is excluded from model training by default. Your questions, uploads, and responses never become part of the broader AI training data that others can access. But we go further than that.

Private Deployment: Through partnerships with Prediction Guard, you can run Chipp entirely on your own infrastructure with open-source models. Your questions never leave your cloud environment, ensuring complete data sovereignty for industries with strict compliance requirements.

Brand Protection: White-label deployments let you run Chipp under your own domain and branding. Your clients and team members interact with "your" AI platform, not a third-party tool. This is crucial for agencies, consultants, and companies where brand consistency matters.

Access Control: Granular permissions let you control exactly who can use which AI agents. Restrict access to specific email domains, require sign-up approval, or limit usage to authenticated team members. You can create different access levels for different stakeholders.

Content Moderation: The tagging system isn't just for monitoring—it's for active content control. Create tags that automatically block certain types of conversations, provide alternative responses, or escalate sensitive topics to human oversight.

This multi-layered approach to protection recognizes that different organizations have different risk tolerances and compliance requirements. Whether you're a startup that needs basic data protection or a Fortune 500 company with strict regulatory requirements, you can configure Chipp to meet your security needs without sacrificing functionality.

6. Scale: From Individual Tools to Organizational Systems

The sixth and final pillar is scale: transforming individual AI experiments into organizational capabilities that grow with your business.

Team Workspaces (HQ): The new HQ feature creates a dedicated URL where all your AI agents live under unified branding. Instead of managing dozens of individual chat links, you create a single destination where team members or clients can access all available AI tools. Each workspace can be customized with your logos, colors, and messaging.

User Management: Track who's using which tools, how frequently, and with what results. Identify power users who might become internal AI champions, spot underutilized tools that need better promotion, and understand which AI agents drive the most business value.

Business Model Integration: Unlike traditional AI tools that charge per seat or per application, Chipp scales with unlimited users and unlimited applications at a flat rate. This removes the financial friction that often limits AI experimentation and adoption.

The AI Geyser Effect: Every organization has individuals with great ideas for AI applications. The challenge is capturing those ideas and sharing them across the organization. Chipp's rapid deployment capabilities (now down to about 60 seconds from idea to working AI agent) mean you can tap into that "geyser" of organizational knowledge and creativity.

Agency and Partner Networks: For organizations that serve clients, the scale pillar includes agency certification programs, partner directories, and revenue sharing that turn your AI capabilities into new business lines.

The ultimate goal of scale isn't just having more AI tools; it's creating an organizational culture where AI amplifies human capability at every level. When anyone in your organization can quickly create, test, and share AI solutions, you've moved from AI adoption to AI transformation.

Looking Forward: The Teamwork Revolution

As we closed Chipp Con 2025, one thing became crystal clear: we're witnessing a fundamental shift in how businesses think about AI. The companies that thrive won't be those with the best individual AI tools—they'll be those that best integrate AI into their team dynamics, company culture, and customer relationships.

The Chipp Six (Control, Ground, Monitor, Share, Protect, and Scale) aren't just features. They're the foundation for turning AI from a productivity hack into a genuine business transformation tool.

With over 14,000 builders creating more than 100,000 AI applications, we're seeing patterns emerge. The most successful implementations aren't the most technically sophisticated; they're the ones that solve real business problems for real people in ways that fit naturally into existing workflows.

We're moving from the era of "robots in hiding" to AI as a visible, valuable team member.

And just like any good team member, the best AI implementations are those that make everyone around them more effective, more informed, and more capable of doing work that truly matters.

The future isn't about replacing human intelligence; it's about amplifying it. And with the right foundation, every business can be part of that transformation.