Every few weeks someone asks me some version of the same question: "Which AI tool should I actually be using?" They've usually tried ChatGPT, found it occasionally useful, and want to know if there's something better — or if the whole category is overhyped.
Here's my honest answer, based on working with Vancouver small businesses across real estate, restaurants, professional services, and e-commerce: the tools matter less than how you use them, but some tools genuinely make certain jobs a lot easier. I've spent the last year testing this stuff in the field, not just in demos. This is what I've found.
Why AI Tool Selection Matters More Than Most People Think
When a client comes to my consulting practice for help with AI implementation, the first thing I do is ask what they've already tried. More often than not, they've signed up for three or four different tools, used each one for a week, and quietly abandoned all of them. That's not a discipline problem — it's a fit problem.
Different tools are genuinely designed for different things. Using the wrong one for your use case is like trying to edit video in Excel. Technically you might get somewhere, but you'll hate the process and the results won't be what you wanted. The key is knowing what job you're actually trying to do before you pick the tool.
The AI Tools I Actually Recommend
1. Claude (by Anthropic) — Best for Writing, Strategy, and Analysis
For most business writing tasks — emails, proposals, website copy, customer service scripts, SOPs — Claude is the tool I reach for first. It handles nuance better than most, follows complex instructions reliably, and doesn't add the kind of generic filler that makes AI-written content so easy to spot.
For a Vancouver real estate agent, I recently used Claude to rewrite 40 property descriptions in a specific voice. For a Gastown restaurant, I used it to draft a seasonal menu that sounded like the chef actually wrote it. Neither required much editing. That's the benchmark I use: if you're spending more time editing the output than you would have spent writing it yourself, the tool isn't saving you anything.
Best for: Copywriting, email drafting, policy documents, customer FAQs, content outlines
Price: Free tier available; Pro plan at ~$25 CAD/month
2. Claude Code — Best for Building Actual Tools and Automations
This is what most of my client work revolves around. Claude Code isn't a general writing assistant — it's a coding environment where you can describe what you want to build and have it actually built. No technical background required on your end.
I've used it to build a custom job board, a lead capture tool with auto-follow-up sequences, an SEO audit dashboard that pulls live data, and a client reporting system that generates weekly summaries automatically. These are things that used to require hiring a developer for weeks of work. Claude Code compresses that timeline dramatically.
If you have a repetitive task that currently takes hours of manual work, or if there's a tool you've always wished existed for your specific business, Claude Code is where I'd start. Check the FAQ if you want to know more about how I typically scope and price these projects.
Best for: Custom automations, internal tools, data processing, anything that involves "building" something
Price: Requires a Claude Pro or Max subscription; significant capability unlocked at the Pro tier
3. Perplexity — Best for Research and Competitive Intelligence
Perplexity is a search engine backed by an AI that synthesizes results and cites its sources. For small business owners, this is genuinely useful for a specific category of task: understanding your market.
I use it when I need to quickly understand an industry I'm unfamiliar with before working with a new client. A client who runs a Vancouver physiotherapy clinic used it to research what competing clinics in North Vancouver were promoting on their websites, what patient complaints showed up in reviews, and what service gaps existed in the local market. In 45 minutes she had a competitive analysis that would have taken a full day to build manually.
Best for: Market research, competitive analysis, staying current on industry news
Price: Free tier is solid; Pro at ~$25 CAD/month adds more queries and better models
4. Notion AI — Best if You're Already in Notion
If your team already uses Notion for documentation and project management, the built-in AI features are worth turning on. It's not the most powerful AI, but the integration is seamless — you can summarize meeting notes, generate first drafts from outlines, and extract action items from long documents without ever leaving the tool you're already in.
The key word is already. I don't recommend adopting Notion just to get the AI. But if you're a Notion shop, it earns its keep.
Best for: Summarizing internal docs, drafting within existing workflows
Price: Included in Notion's Plus plan (~$15 CAD/month per user)
5. Google's AI Features (Gemini in Workspace) — Best for G Suite Teams
Same logic as Notion AI applies here. If your team lives in Google Docs, Sheets, and Gmail, the Gemini-powered features embedded in Workspace are the path of least resistance. You can draft emails, summarize documents, build formulas in Sheets, and generate slide content without switching contexts.
What I've noticed is that the quality varies by task. Google Sheets formula generation is excellent. Long-form writing is decent but requires more editing than Claude. The advantage is pure convenience if you're already paying for Google Workspace.
Best for: Google Workspace users who want AI without adding another subscription
Price: Included in Workspace Business Standard and above (~$19 CAD/user/month)
The AI Tools I've Stopped Recommending
A few tools have been heavily marketed but underperformed in practice. Generic AI writing tools like Jasper and Copy.ai were impressive in 2022 when they had no real competition. Now they're essentially wrappers around the same models you can access directly through Claude or ChatGPT — at a higher price and with more friction. I haven't found a scenario where I'd recommend them over going direct.
Similarly, a lot of "AI-powered" versions of existing software — scheduling tools, CRM add-ons, social media managers — are adding AI features as a marketing checkbox rather than because they've genuinely improved the product. Before paying extra for any AI upgrade, ask yourself: is this solving a real problem I have, or does it just sound impressive?
How to Actually Pick the Right Tool
My recommendation process is simple:
- Identify one specific task you'd want AI to handle — not "make my business more efficient," but "write the first draft of every proposal I send."
- Test with your actual content. A tool that produces great generic output may struggle with your industry's terminology or your brand voice. Give it real examples before committing.
- Measure the time saved after two weeks. If you're not saving at least a few hours per week per tool, it's not the right fit.
- Don't stack tools for the sake of it. Two tools you actually use beat six you don't.
The businesses getting real ROI from AI aren't using more tools than anyone else. They've just found the two or three that fit their specific workflows and committed to them.
If you're not sure which category your biggest time drains fall into, that's usually where I start in a consulting conversation. Sometimes it's writing. Sometimes it's data processing. Sometimes it's a custom tool that doesn't exist yet. The answer shapes the recommendation entirely.
Want help figuring out which AI tools make sense for your specific business? Reach out and we can work through it together — or browse the FAQ for answers to the questions I hear most often.