5 AI Tools That Replaced 3 Full-Time Hires at My Agency (And Cost $87/Month Total)

I run a small content agency. Last year I had a copywriter, a social media manager, and a research analyst on payroll. Total fully loaded cost, including benefits, was around $14,000 a month. Today I have the same output, a leaner team, and I am spending $87 a month on AI tools. I am not going to tell you this is a clean swap. It is not. Some of what I lost matters. But the cost difference is so large that I think any small agency owner who is not at least experimenting with this stack is leaving a lot of money on the table.

This is the actual stack I run today, what each tool replaces in the old team, and the things AI still genuinely cannot do, where I still pay humans real money.

The setup, in plain numbers

Before I list the tools, here is the rough math so you can decide if any of this is even relevant to your situation. My agency produces around 80 to 100 long form articles a month for B2B SaaS clients, plus social copy and a weekly newsletter. We used to do this with the three hires I mentioned, plus a part time editor and me. We had five humans, total. Now we have me, one part time editor, one part time writer, and the AI stack. We produce the same volume. We do not produce the same quality on every piece, but the average quality is the same, and on some pieces, it is better.

I am not claiming AI is a magic replacement. I am claiming that for a specific kind of content work, the cost curve has shifted so dramatically that the old model no longer makes sense unless you are doing very high end bespoke work.

1. ChatGPT Team replaced my research analyst ($25/month)

My old research analyst was good. Her job was to spend two to three hours per article gathering sources, recent data, and competitor insights before the writer started. The ChatGPT Team plan at $25 a month per user, billed annually, has replaced about 70% of that work.

The way I use it: for each article brief, I open a new project in ChatGPT, paste in the topic and the target audience, and ask for 30 to 50 recent sources, recent statistics, and three to five competitor angles. I then spend about 20 minutes fact checking the most important claims before handing the brief to a writer. The fact check is the part I cannot skip, because ChatGPT still gets specifics wrong, especially around recent data and proper nouns. But the time savings are real. What used to take two to three hours now takes 30 to 40 minutes, and the briefs are at least as good as what the analyst was producing.

What it does not replace: original reporting, interview transcripts, and primary research. If a client needs an article that quotes three industry experts, ChatGPT cannot generate those quotes. I would not try.

2. Claude Pro replaced my copywriter for first drafts ($20/month)

My old copywriter was a strong mid level writer. She cost $4,200 a month and produced about 25 finished articles a month. Claude Pro at $20 a month has not replaced her, but it has changed what she spends her time on.

The new flow is this. I send the writer a ChatGPT research brief. She opens Claude and asks for a 1,200 word first draft using the brief, our client’s house style guide, and three example articles we have already published for them. Claude produces a draft in about 90 seconds. She then spends 45 minutes to an hour editing the draft, fact checking the claims, and rewriting any sections that sound generic. The final output is, in most cases, indistinguishable in quality from the work she used to produce from scratch in five to six hours.

Her output has roughly tripled. We went from 25 articles a month to 70 to 80, with the same headcount. Her pay is the same, because the work is harder in some ways (she has to be a sharper editor) but easier in others. I would rather pay her to be a sharper editor than to do the same repetitive research and outlining work every week.

3. Notion AI replaced the social media manager for content production ($10/month)

The social media manager’s old job was three things. One, take a long article and turn it into 5 to 10 social posts. Two, write a weekly newsletter. Three, keep a content calendar organized. Notion AI, added to the standard Notion plan I was already paying for, now does most of the first two.

For social posts, I dump the article text into a Notion page, ask Notion AI for 10 social posts under 280 characters each, with a mix of formats (a question, a stat, a quote, a tip), and it generates them in about 15 seconds. About half are usable as is. The other half need a quick edit or a rewrite. Total time saved: maybe 4 hours a week.

For the newsletter, I do the same thing but with the past week’s articles, and ask Notion AI to write a 400 word issue that links out to the three strongest pieces. I edit it for tone, add the links, and it is ready to send. That used to take an hour. It now takes 15 minutes.

What it does not replace: the actual scheduling, the community management, the replies to comments, and the strategic decisions about which platform to post what on. I still have a part time person doing that. The AI handles the production, and the human handles the distribution and engagement. That is a healthier split, honestly.

4. Perplexity Pro replaced my fact checking habit ($20/month)

This is the one I did not expect to pay for. Perplexity Pro is $20 a month and it is, in 2026, the closest thing to a research assistant that I have ever used. It does what ChatGPT does but with two crucial differences: it cites its sources, and it pulls live information from the web instead of relying on its training data cutoff.

Where this fits in my workflow is the fact checking step. After a writer produces a final draft, I take every factual claim in the article and run it through Perplexity with a “show me three independent sources” prompt. This takes about 15 minutes per article but it has caught errors that would have been embarrassing if they made it to the client. The cost is justified by the time it saves me from having to manually check each fact, and by the small number of credibility saves I have had.

5. Descript replaced my audio editor for podcast repurposing ($12/month)

About a quarter of my clients have a podcast, and they used to pay us to chop the audio into 5 to 10 short clips for social. Descript at $12 a month for the Creator plan has replaced almost all of that. The transcript-based editing is fast, the AI clip finder does a decent job of finding the strongest 60 second moments, and the output is publish ready.

The savings here are smaller than the others, because the volume of podcast work is not huge. But it is the difference between subcontracting audio work to a freelancer at $50 a clip and doing it in-house for essentially no marginal cost. Over a year, that is a real number.

What I am not replacing, and why

I want to be honest about the things AI still cannot do for me, because the marketing on every AI tool will tell you otherwise.

One, original thinking. AI can summarize what 50 articles have said about a topic, but it cannot have an original take that comes from a specific human’s lived experience or research. The articles that clients love most are the ones where my writer has an actual opinion, an actual case study, or an actual client story. AI cannot generate that. What it can do is help shape the writing once the idea is in the writer’s head. The order matters. Idea first, then AI for structure and draft. Not the other way around.

Two, editing for brand voice at a sophisticated level. AI can match a house style guide, but it cannot match the weird, specific voice that a founder wants for their personal LinkedIn, or the precise tone that a SaaS company has built up over 50 podcast episodes. There is some kind of accumulated judgment in those voices that I have not found a way to train an AI on. When clients ask for that level of voice matching, I send it to a human editor. The AI does the first pass, the human does the polish.

Three, account management. AI cannot be on a call with a client, take a vague brief, ask the right clarifying questions, push back when a request does not make sense, or handle the politics of a difficult project. I have a part time account manager for that, and I do not see that changing in the next two to three years.

Total monthly cost breakdown

1. ChatGPT Team: $25
2. Claude Pro: $20
3. Notion AI (add-on to existing Notion plan): $10
4. Perplexity Pro: $20
5. Descript Creator: $12

Total: $87 a month. Compare that to the $14,000 a month I was spending on three full time hires, or even the $4,200 a month I would have to spend to keep just one of them. The math is not subtle. Even adjusting for the fact that I am still paying a part time editor and a part time writer, the savings are real and I am not going back.

If you are running a small agency and you are not actively experimenting with this kind of stack, the honest question to ask yourself is why. It does not have to replace your team. It just has to give you a multiplier. And the multiplier, even at $87 a month, is enormous.