Practical guides on Claude implementation and AI automation
Implementation guides from Anthropic's Claude Partner. Most of what we write is about Claude: how we deploy it, how clients use it, and what actually works in production for B2B teams.
57 posts
From Anonymous Website Visitor to Assigned CRM Lead
A B2B services firm was paying for visitor-identification data that sat in a spreadsheet nobody acted on. Here's the automation that turned it into qualified CRM leads, built in under a week.
How We Turned Scattered Meeting Notes Into a Working Task System
A small nonprofit's meeting notes lived in three different notetakers and never made it to a shared task list. Here's the automation suite — meeting notes to Trello, daily status checks, and pre-call prep — that fixed it.
Reading Town Meeting Notes for Business Opportunities, Automatically
A construction and development firm's business development team was manually reading town meeting notes for opportunities. Here's the pilot we built to do that read for them.
We Taught Claude to Check Landscaping Photos So a Real Estate Team Didn't Have To
A property management team was manually reviewing hundreds of vendor photos per day. TEG automated the check with Claude — plus vendor coverage mapping and invoice review — saving 1–2 hours daily.
Claude Opus 5 Feels Combative? Here's What's Actually Going On
Reports of Claude Opus 5 pushing back and ending chats are circulating on Reddit. Here's what's actually documented, what isn't, and how B2B teams can prompt around reflexive pushback.
Website MCPs: how AI agents update sites without wp-admin
MCP servers give AI agents a direct, governed line into your CMS — no wp-admin, no ticket, no agency retainer. Here's how they work, which existing WordPress and Webflow servers we reach for, and when we build a custom one instead.
Does Claude remember your conversations now? What B2B teams need to know
Claude recently rolled out persistent memory across Cowork sessions. Here's what actually changed, what it means for prompt engineering and data privacy, and how to put it to work for your team.
What Claude Fable 5.1 means if your team is running on AI-powered automations
Anthropic released Claude Fable 5.1 on September 1. Here's what actually changed — longer autonomous runs, root-cause reasoning, and a 45% cost drop — and what it means for the workflows your team runs day to day.
What Claudeforce means if your team already runs on Salesforce
Salesforce and Anthropic just announced Claudeforce — two distinct integrations with different buyers and different use cases. Here's what Salesforce in Claude vs. Claude in Salesforce actually means for B2B teams, and where the 37 prebuilt sales skills stop.
We built a Boston permit lookup tool — here's why it needed more than a search box
Boston's ScerIS permit search returns scanned PDFs with no unit-level filtering. We built a tool on the Analyze Boston open data API that pulls every permit for an address, groups them by unit, and surfaces assessor data alongside — so due diligence teams can actually answer the question they're asking.
Is Claude safe for business data? What B2B teams need to know
Does Anthropic train on your data? What can Claude actually see? A plain-English breakdown of Claude's privacy posture across the consumer, Teams, API, and Enterprise tiers — and what to check before connecting Claude to sensitive systems.
Why Claude certification matters — and why TEG is building a bench of certified talent
Anthropic now certifies developers and architects who build with Claude in production. Here's what the credentials cover, why they matter when hiring an implementation firm, and how TEG's fellowship is building a verified bench.
Claude Cowork vs. Claude Skills: what B2B teams need to know
Cowork is Anthropic's agent for knowledge work you direct. Skills are reusable automations that run without a human. Here's what each does and when to use which.
What is a Claude Partner and how do you find one?
Anthropic vets and certifies firms that build and deploy Claude in production. Here's what they do and what to look for when hiring one.
How much does Claude implementation cost?
Claude for Teams runs $30/user/month. Building the Skills, MCP servers, and workflows your team actually uses is a separate cost. Here's what to expect.
Claude Projects vs Claude Skills: what's the difference?
Projects organize your conversations and context. Skills are reusable automations built on Claude's API. Here's when to use each.
Claude for real estate: what's actually useful in 2026
Document review, lead qualification, and investor research are where Claude delivers the most value for real estate teams. Here's what TEG has built in production.
The best MCP servers for B2B sales and CRM teams
HubSpot, Salesforce, and Slack all have official MCP servers. Here's what each does and when to build a custom one instead.
How to hire a Claude developer (and what to look for)
A Claude developer builds Skills, MCP integrations, and agentic workflows. Here's what the role involves and how TEG's staff augmentation model works.
Claude vs Gemini for business automation: what actually matters
Gemini wins on Google Workspace. Claude wins on complex reasoning, MCP ecosystem, and production reliability. Here's how to choose.
How We Fixed a Housecall Pro Sync Alerts Problem Without API Access
A home services client was losing hours a week to false positives in their sync alerts feed. Here's how we fixed it when the API didn't expose what we needed.
The Endurance Group named a Claude Partner
We've been accepted into Anthropic's Claude partner program. Here's what that means for our clients and how we plan to use it.
Defensive vs offensive automation workflows: how to know which one you need
Defensive automation makes your existing operation more efficient. Offensive automation grows your business. Both matter here's how to decide which one you need first.
How We Use Hiring Signals to Find Companies Ready to Buy AI
A job posting for an AI Engineer is a clean buy-in signal. Here's the automation we built around it and how the filtering logic works.
What counts as a real AI automation, and what's just a demo
Not every 'AI automation' is actually running in production. Here's the difference between a real automation and a demo, and what each tier actually looks like.
What is AI workflow automation? A plain-English guide
AI workflow automation is a specific thing, not a catch-all for anything that uses AI. Here's what it actually means and when it applies to your business.
The difference between an AI tool and an AI automation
Buying an AI tool and building an AI automation are different things. One requires a subscription. The other requires a plan.
What to automate first when you're a small B2B team
The hardest part of starting with AI automation isn't the technology. It's knowing where to start. Here's how we think about it.
Why AI projects fail: the adoption problem nobody talks about
Most AI projects don't fail because the technology doesn't work. They fail because the team doesn't use it. Here's the pattern and how to break it.
How to build a lead qualification workflow with AI
Most lead qualification is either too manual or too blunt. AI can do it better, here's how to build a workflow that actually works.
Why inbound leads don't get followed up (and how automation fixes it)
Most missed leads aren't a motivation problem, they're a routing problem. Here's how automated lead routing works and what it takes to build one that runs reliably.
What Claude Skills are, and why we build inside Claude instead of a new app
Claude Skills let Claude follow your team's exact process inside the chat you already use. Here's what they are and why we build automations with them.
What custom GPTs are, and why we build inside ChatGPT instead of a new app
Custom GPTs let your team run their own playbook inside ChatGPT, the tool they already open every day. Here's what they are and why we build with them.
What Gemini Gems are, and why we build inside Google Workspace instead of a new app
Gemini Gems let you build custom AI inside Gmail, Docs, and Drive, no new app required. Here's what they are and why we build automations with them.
Claude and ChatGPT connectors: give AI the right context without copy-pasting
Claude and ChatGPT both have native connectors that pull live data from Google Drive, HubSpot, Jira, and more. Here's what they are, how they differ, and when we use them.
Claude vs ChatGPT for business automation: what actually matters
Claude and ChatGPT can both write, reason, and connect to your systems. Here's how to pick the right one for business automation.
MCP: how we connect AI to the tools your team already runs
The Model Context Protocol lets AI talk to your actual systems, HubSpot, Slack, Jira, your internal tools. Here's how we use existing MCP servers and build custom ones for clients.
What MCP servers are and what they mean for your business
MCP gives AI assistants direct access to your tools without custom API code. Here's what that actually looks like for a B2B company.
How Coachonix is transforming network marketing with AI coaching
Coachonix tells network marketers who to contact, what to say, and when to reach out, turning the relationships they already have into real income.
Make vs Zapier vs n8n: how to choose for B2B automation
Three tools that all claim to automate anything. Here's the honest breakdown of Make, Zapier, and n8n for B2B teams.
Zapier vs n8n for B2B automation: which one fits your stack
Zapier and n8n both connect your tools, but they're built for different teams. Here's how to choose between them for B2B automation.
How to use n8n to connect your CRM to AI
n8n can pull data from your CRM, run it through an AI model, and act on the result, without a developer or a custom API build. Here's how it works.
Why adding more leads won't fix a broken CRM
More leads into a disorganized CRM just means more leads falling through the cracks. Here's how to tell if your systems, not your lead volume, are the real bottleneck.
Why your team stops using the CRM after 90 days
CRM adoption fails for the same reasons every time. Here's what's actually happening and what actually fixes it.
HubSpot sequences vs AI automation: when to use which
HubSpot sequences are built for sales reps. AI automation is built for systems. Understanding the difference helps you know which one to build.
What is a HubSpot sequence and when should you use one
HubSpot sequences are one of the most useful tools in the platform, and one of the most misunderstood. Here's what they actually do and when they're the right choice.
How to automate lead follow-up in HubSpot without losing the personal touch
Automated follow-up gets a bad reputation because most of it is bad. Here's how to build HubSpot follow-up automation that actually feels personal.
How Offerpad Scaled AI Across Sales, Renovations, and Accounting
TEG has spent six months building Offerpad a portfolio of Claude-powered tools across three departments. Here's how the partnership works.
How Biproxi Uses AI to Find Investors Their Competitors Can't
Biproxi needed to scale investor discovery without adding headcount. TEG built them a Claude-powered research agent that finds net-new capital sources automatically.
How AI automation helps real estate teams respond to leads before they go cold
Real estate leads go cold in minutes, not days. Here's how AI automation and growth systems keep brokerages, developers, and lenders ahead of the response clock.
How to keep real estate leads warm with automated nurture
Most real estate leads aren't ready to move for months. Here's how to stay in front of them without manually following up forever.
AI automation for property management companies
Property managers handle a lot of repetitive tenant communication and maintenance coordination. Here's where AI automation actually saves time.
AI tools for commercial real estate brokers: what's actually useful
Commercial real estate has specific workflow problems that AI handles well. Here's what's worth using and what's just noise.
When it makes sense to outsource sales execution instead of hiring an SDR
Hiring and ramping an SDR takes months. Here's when outsourced sales execution gets you pipeline faster, and how warm-path outreach changes response rates.
When to hire a sales rep vs when to automate
The decision isn't binary. Here's how to think through when a person actually moves the needle and when a system handles it better.
How higher ed is using AI to find prospective students
Enrollment offices are turning to AI to find and reach prospective students as applicant pools shrink. Here's what's actually working, and where it breaks down.
Why generic outbound automation fails B2B SaaS, and what to build instead
B2B SaaS sales has longer cycles and more stakeholders than most automation accounts for. Here's what actually moves pipeline for seed-through-Series-B teams.
How SaaS companies use AI to reduce churn with better onboarding
Most SaaS churn is decided in the first 30 days. Here's how AI automation helps you catch at-risk accounts before they're already gone.
Why professional services firms should map their network before they prospect
Relationship-driven firms don't need more cold outreach. They need to know who in their existing network is already a warm path to their next client.
AI automation for law firms and advisory practices
Law firms and advisory practices have specific constraints around confidentiality and billing. Here's what AI automation can do within those constraints.
How to automate client onboarding for a consulting firm
Client onboarding at most consulting firms involves the same steps every engagement. Here's how to automate the repeatable parts without losing the personal relationship.
How fractional executives use AI to manage more clients
Fractional executives take on more client relationships than traditional hires. AI automation helps them stay present without being everywhere at once.