Hand a task to AI only if checking the result costs less than doing the work yourself. That one rule sorts most of this market. A first draft of an investor update is quick to check. A tax position isn't.
This page is sorted by task, with prices we read on each vendor's site on 2 November 2026. We make Nautis, which appears under company-wide agents. We didn't test or score any of these products. Where we say one suits a job, that's our judgment from what it publishes. The sections on data handling, credit costs and what to keep away from AI apply to every tool here.
Best AI tools for startups, task by task
The last column matters more than it looks. Two tools with the same price can behave very differently once a busy month arrives.
| Task | Picks | Starting price | You pay for |
|---|---|---|---|
| Coding | Cursor, Claude Code, GitHub Copilot | Cursor $8 to $200; Claude Pro $17 to $20; Copilot $10 | Allowances, with extra usage on top |
| Writing | ChatGPT, Claude | ChatGPT Go $8, Plus $20; Claude Pro $17 to $20 | A subscription with usage limits |
| Research | ChatGPT or Claude, Perplexity, Notion | As above; Perplexity price not read; Notion Business $20 | A subscription, or a seat |
| Meetings | Granola, Fellow, Otter | All have a $0 version; Granola Business $14; Fellow Team $7 | A seat, with note limits on low tiers |
| Support | Intercom Fin | $0.99 per outcome, plus seats if you want the helpdesk | Each resolved outcome |
| Sales | Clay, Apollo | Clay $0, then $167 billed annually; Apollo price not read | Actions and data credits |
| Ops | Zapier Agents, Lindy | Zapier $0, Pro about $33.33 for agents; Lindy $29.99 per active user | Activities or credits |
| Company-wide agents | Lindy, Notion Custom Agents, Nautis | Notion $10 per 1,000 credits; Nautis $49 to $129 | Credits, sometimes on top of seats |
How we chose, and what we left out
- Selection: products with enough published detail to describe, covering the tasks a small company hands over first. We named one to three per task, so this isn't exhaustive.
- Evidence: vendor pages read once on 2 November 2026. Prices and data statements can change quickly in this market, so recheck both before you commit.
- Not done: no hands-on tests, no output comparisons, no scoring, no ordering by quality. Anyone claiming a stable ranking of AI models should be asked what date it's from.
- Couldn't confirm: Perplexity's prices, Apollo's prices and Fireflies' prices weren't readable on the pages we reached, so we don't quote them. We couldn't read OpenAI's data page, so ChatGPT's statement comes from its plan documentation.
Coding
This is where AI pays back fastest for a technical team, because tests and code review already give you a way to check its work. Cursor runs from a $0 version through Plus at $8, covering Grok models only, to Premium at $30, Super at $100 and Ultra at $200, with Teams from $30 a user. Allowances refresh weekly, and third-party models are billed separately at API list price, so set a spending cap. Claude Code comes with Claude's paid plans rather than the $0 one: Pro at $17 a month billed annually or $20 monthly, Max at $100, Ultra at $200, and Team seats from $20 billed annually or $25 monthly. GitHub Copilot uses AI Credits worth $0.01 each, with Pro at $10 including $15 of credits and Pro+ at $39 including $70.
Which one? Try the editor your team already prefers, on a real ticket, for a week. Keep human review on everything that ships. Non-technical founders should read our page for them before treating any of these as a replacement for an engineer.
Writing and research
One general assistant covers most drafting: emails, job posts, policies, briefs. ChatGPT lists Go at $8, Plus at $20, Pro from $100 and Business at $20 a user billed annually or $25 monthly. Claude lists Pro at $17 billed annually or $20 monthly, and Team seats at $20 or $25 for 2 to 150 people. For a team, we'd pick one and pay for a business seat, because that's where the data terms improve. Give it your style notes and a few past examples, or everything will sound the same. For specific documents, the free AI generators give a quick starting draft with no account setup.
Research is a different risk. These tools can state wrong things very clearly, so open every source before you repeat a number in a deck. Perplexity names Enterprise Pro and Enterprise Max on its enterprise page, but we couldn't read a price for any tier. Notion lists Research mode as a beta on its Business plan at $20 a member, which helps if your notes already live there. A market-size figure in a pitch should always trace back to a document you've read yourself.
Meetings
Notetakers are a cheap win, since you were in the meeting and can spot errors. Granola captures device audio with no bot joining, and its table says audio is deleted after transcription. Basic is $0 with 30 days of history, Business is $14 a user a month and Enterprise $35. Its FAQ says it trains on anonymized data unless you opt out, with training off by default on Enterprise. Fellow starts at $0 with 5 AI notes per user for life, then Team at $7 a user a month billed annually or $11 monthly, with 10 notes a month, and Business at $15 or $23 with no cap. Otter's Basic tier gives 300 minutes a month at 30 minutes per conversation, with Business at $19.99 billed annually.
Ask people before you record them. Granola's page recommends it too, and in some places the law requires it. Never leave a notetaker running in a legal, HR or board conversation without agreeing that first.
Customer support
Support is a fair place to try an agent if you have written help content and can accept a small share of wrong answers. Intercom prices Fin at $0.99 per outcome on any plan, or on its own with no seats and a minimum monthly commitment such as 50 outcomes. Helpdesk seats are $19 on Essential, with $29 shown as the higher rate, $85 on Advanced and $132 on Expert. Take an illustrative 500 outcomes a month: that's $495 before seats. Compare that with what a person costs for the same volume, and notice that the bill grows as the agent succeeds more often.
Write the help content first. An agent working from thin articles will invent or dodge. Start with one question type, read every transcript for a fortnight, and always offer a route to a human.
Sales
Research and enrichment are safe to hand over. Sending at volume isn't, because a bad list can harm your domain and your name with people you may need later. Clay has a $0 version with 500 actions and 100 data credits, then Launch at $167 a month billed annually or $185 monthly, and Growth at $446 or $495, each with higher action and data allowances. It suits someone comfortable building data workflows. Apollo's page says credits are pooled across the team and don't roll over, but it didn't show us prices. If you already use a CRM, check what AI it includes before buying a separate tool. Attio's Pro plan, for example, lists Call Intelligence and sequences.
Our cold email generator gives a first draft at no cost. Write the first 20 messages yourself regardless, so you learn what gets a reply before you automate it.
Ops and company-wide agents
Here AI moves from drafting to doing, and mistakes start to cost more. Pick one recurring process and run it with approvals on for a month before you add a second. Deterministic automation and agents fail differently, as AI workflow management explains.
Zapier Agents
Zapier charges agents in activities, separate from its tasks. Its $0 version gives 400 activities a month with 10 per run, and Pro gives 1,500 with 40 per run, from about $33.33 a month on annual billing. At the per-run cap the agent asks before continuing. It suits a team already running Zaps.
Lindy
Lindy sells an AI employee that plugs into tools such as Slack, HubSpot, Stripe and Linear, with work like clustering support tickets or reconciling charges. A $0 start includes $50 in credits for 7 days. Team is $29.99 a month with 3,000 credits, every active user is billed, and top-ups are $10 per 1,000. Its FAQ says actions with outside impact wait for approval. Read Nautis vs Lindy for the difference between working across your tools and holding the records.
Notion Custom Agents
If your company already lives in Notion, its Custom Agents are free to try, then $10 per 1,000 monthly credits. An agent is only as useful as the pages it can read, so tidy the workspace first.
Nautis (our product)
Nautis includes a Chief of Staff that reads company records in its own modules and writes a 7:00 am Briefing. Routines run on a schedule or on an event, such as a new lead, and each catalog card shows an estimated credit cost. Capabilities default to Ask every time, and you can connect outside tools as well. Plans cost $49, $99 and $129 a month with 1,000, 2,000 and 2,600 AI credits and 5, 10 and 15 routines. It suits a startup willing to keep its records there, and it's a poor fit if you only want an agent on top of your current stack, or a coding tool. It launched publicly in July 2026, and approvals take attention by design. There's more in the roundup of AI chief of staff tools.
Best AI tools for founders in particular
Founders use AI differently from their teams, because they own every function and have no one to ask. The tools are mostly the same. The uses differ.
- Pressure-testing a decision. Give a general assistant your reasoning and ask for the strongest case against it. Then decide yourself. A decision log helps you find out later whether you were right.
- Practising a pitch. Ask an assistant to play a sceptical partner, or use a purpose-built tool. The Nautis AI Voice Coach listens, pushes back and gives you a scorecard. Our pitch Q&A generator drafts the hard questions at no cost.
- Writing investor updates. Paste your numbers into the investor update generator, then rewrite the part about what went wrong in your own words.
- Learning a new function. Ask for a plain explanation of a term sheet clause before you see your lawyer, then bring better questions to the meeting. It doesn't replace the lawyer.
- Clearing the week. An assistant or agent can sort a backlog into "do, delegate, drop". Our guide on founders' days by stage shows what tends to fill that backlog.
Hold off on subscriptions until you've used one for a month. A solo founder with one assistant used daily is better off than one with six tools opened weekly.
Data handling: what vendors say about training
Read this before you paste in customer data, a cap table or a contract. Terms often differ between personal and business plans, and an employee on a personal account may be on different terms from your company's. This table reports vendor statements and isn't legal advice.
| Product | What the page says | What to check |
|---|---|---|
| ChatGPT Business | "No training on your business data by default" | The plan page doesn't state this for Free, Go, Plus or Pro |
| Claude for Work and API | By default, inputs and outputs aren't used for training; feedback you send may be | Consumer plans are covered in a separate article, so read it |
| Cursor | With Privacy Mode on, "we will not train on your data" | The page doesn't say what applies with it off, so set it for the team |
| Granola | Trains on anonymized data unless you opt out; off by default on Enterprise | Each user opts out on lower plans |
| Lindy | FAQ says data is encrypted, never sold and not used to train models | Confirm which plans the statement covers |
| Perplexity | "We never train our LLMs on enterprise customer's data" | This is the enterprise page, so ask about other tiers |
| Notion | Enterprise lists zero data retention for LLM providers | Not listed that way for lower plans |
| Nautis (ours) | Guides we checked don't state a training position; they describe the AI Activity log | Read the Privacy Policy, and ask us before loading sensitive data |
Three habits help at any size. Buy business seats for anything touching company data, and turn off personal-account use for it. Remove names and identifiers when you don't need them in the prompt. And write down one page on what may go in, so that a new hire isn't guessing.
Credit costs: reading the small print
A flat seat price with a usage limit, a credit balance and a per-outcome fee produce very different bills. Before you buy, find out three things: what counts as a unit, what happens when you run out, and who can see the spend.
| Product | Unit | When you run out |
|---|---|---|
| Cursor | Weekly allowance, plus API list price for third-party models | Buy top-offs or wait; spending caps available |
| GitHub Copilot | AI Credits at $0.01 each | The plans page doesn't say |
| Claude Enterprise | $20 a seat plus usage at API rates, 20-seat minimum | Usage bills at API rates, so ask about caps |
| Intercom Fin | $0.99 per outcome | Bill rises with volume |
| Clay | Actions and data credits | Move up a tier |
| Lindy | 3,000 credits per active user at $29.99 | Top up at $10 per 1,000 |
| Zapier Agents | Activities, separate from Zap tasks | Per-run cap asks before continuing |
| Nautis | AI credits by plan, cost by model and length | AI features block until reset or top-up, with no overage |
For scale, here's one illustrative team of eight on the rates above: ChatGPT Business for 5 people at $100, Cursor Teams for 3 engineers from $90 and Granola Business for 5 people at $70. That's about $260 a month before any overage, and it would pay for itself quickly only if those people use it daily. Check the spend in month two, cancel what's idle, and read how to consolidate tools once the list grows.
What not to hand to AI
- Sending anything outward unreviewed. Investor notes, customer apologies and contract replies need a person's eyes. Choose tools that show the full text first. Human-in-the-loop design explains how.
- Legal, tax and payroll filings. It can explain, but it shouldn't decide or submit. A confident wrong answer here can cost far more than an adviser.
- People decisions. Don't use it to rank candidates, set pay or judge performance on its own. Use it to prepare your thinking.
- Credentials and secrets. Don't paste passwords or API keys into a chat, ever. Use a password manager or vault.
- The relationship itself. An investor or a key customer wants to hear from you. What an AI chief of staff cannot do goes further on this.
- Decisions you can't reverse. Slow down when a call is a one-way door, and don't count an AI's agreement as a second opinion.
Also be sceptical of products that add "AI" to an old feature set. AI-native vs AI add-on gives some ways to tell, and the same questions work on us.
FAQ
Which AI tools should a startup buy on a small budget?
Start with one paid general assistant at about $20 a month, plus a $0 meeting notetaker such as Granola's Basic tier, as of November 2026. Add a coding tool if you build software. Only add agents when you have a specific recurring job for them to do.
Which AI tools should founders learn first?
One general assistant such as ChatGPT or Claude, used daily for drafting and for pressure-testing decisions. Most of the skill carries over from tool to tool. After that, choose by your biggest weekly time sink, not by what's getting attention online.
Is it safe to put company data into AI tools?
It depends on the plan and its terms. ChatGPT Business and Claude's commercial products state no training on your data by default, while other tiers and products differ. Read the page for your plan, and keep customer personal data and secrets out unless your terms clearly cover them.
How much do AI tools cost a startup per month?
An illustrative team of eight with an assistant, a coding tool and a notetaker runs to about $260 a month on listed rates as of November 2026. Usage-priced products such as Intercom Fin or Clay can add much more. Set caps where a vendor offers them, and check the bill in month two.
Can AI agents run a startup's operations on their own?
Not safely today, at least not without review. They can draft, sort, monitor and act on small recurring jobs, and they do best with clear approvals and audit logs. Someone still has to own the outcome, and in Nautis actions default to asking first for that reason.
Disclosure: We make Nautis, one of the products on this page, so we aren't neutral. Everything here comes from vendors' published pages as read on 2 November 2026, with no hands-on testing, scoring or ranking. Spotted something out of date? Tell us and we will correct it.
Sources
- ChatGPT: plan and usage documentation
- Claude: pricing
- Anthropic: is my data used for model training
- Cursor: pricing
- Cursor: security
- GitHub Copilot: plans
- Perplexity: enterprise
- Notion: pricing
- Granola: pricing
- Fellow: pricing
- Otter: pricing
- Fireflies: pricing
- Intercom: pricing
- Clay: pricing
- Apollo: pricing
- Attio: pricing
- Lindy: overview
- Lindy: pricing
- Zapier: pricing

