How to Get the Most Out of Your Viktor Credits
Key Takeaways
- Viktor isn't a software subscription — it's a digital employee. If you compare it to SaaS tools, it will look expensive. If you compare it to hiring someone to do the same work, it's not even a conversation.
- Credits fuel everything Viktor does: tasks, automations, browsing, and image generation. Billing credits reset monthly. Reward credits (from trials, referrals, and the Creator Program) never expire.
- Scheduled tasks are the biggest lever. Some automations can run on autopilot without using AI at all — nearly free. Others can be set up to only activate AI when there's actually something to act on. That alone can cut costs 80–90%.
- Long conversations cost more. Every message in an ongoing thread re-reads the full history. Start fresh conversations for new tasks instead of running one mega-thread.
- Specific instructions save credits. Vague requests send Viktor on exploratory paths. Clear, precise instructions mean fewer back-and-forth turns and direct execution.
- Viktor can audit its own credit usage and suggest where to optimize. Just ask: "What are my most expensive scheduled tasks this month?"
- Volume discounts go up to 16.7% at the $5K/month tier. Reward credits from referrals and the Creator Program stack on top of your billing credits and never reset.
The right way to think about cost
Before anything else, let's talk about the elephant in the room: cost.
If you compare Viktor to a traditional software subscription, it might feel expensive. Most SaaS tools charge a flat monthly fee and you don't think about usage. Viktor is different — it does real work, and that work has a cost.
But here's the thing: Viktor isn't a software tool. It's a digital employee. It does what an employee would do — research, reporting, monitoring, outreach, data analysis, scheduling — and it does it faster, around the clock, without needing to be managed.
One of our customers put it better than we could:
"Because I'm always honest about everything I write, I can't cover this topic without talking about costs. The free trial is very generous but I burnt through 40,000 very quickly. Now that I have to pay, I'm much more conscious about how much all of this costs. I think the new favourite metric for founders is going to be token burn rate per day. Again like Cowork, if you compare this to other software systems it will be the most expensive system I've ever paid for (realistically probably $300–$400 a month just doing what I'm doing now with it). But if you compare it to a VA or an employee it's not even a conversation. And I think that's the fair comparison. This is doing what an employee would do and it's doing it much much faster, better and much cheaper."
That's the right framing. A part-time virtual assistant costs $1,500–$3,000/month. A full-time employee costs multiples of that. Viktor works 24/7 for a fraction of the price — and it never drops the ball.
That said, just like you'd manage any employee's time wisely, there are smart ways to make sure Viktor's working efficiently. This post covers exactly how to do that.
How credits work
Viktor charges credits for everything it does: reasoning through a task, browsing the web, pulling data from your tools, running scheduled automations, or generating images. You have two pools:
- Billing credits reset monthly based on your plan tier.
- Reward credits (from your trial, referrals, and the Creator Program) are permanent. They never reset and never expire.
Viktor uses billing credits first, then draws from your reward pool. Higher-tier plans include volume discounts: the $5K/month plan gives you 2.4M credits per month, a 16.7% effective discount over the base rate.
You can see your current usage, per-task costs, and per-automation costs at app.getviktor.com/usage. Viktor also tracks your daily burn rate and warns you before you're on track to run out.
The single most important thing: understand where your credits are going before you try to optimize them.
1. Make your scheduled tasks smarter (the biggest lever)
Scheduled automations are consistently the top credit consumer for active Viktor users. The reason is simple: an automation that runs on a schedule charges you every time — whether or not it does anything useful.
The good news? Not every automation needs AI. There are three levels, and moving down this list is the highest-value optimization available:
Level 1: Fully automated (nearly free)
For straightforward, repetitive checks, Viktor can write the automation logic once and then run it on autopilot — no AI reasoning involved. Each run costs almost nothing because Viktor isn't "thinking," it's just executing.
Example: An outage detector that checks 10 provider status pages every minute. Viktor did the creative work once — figured out the right endpoints, wrote the check logic, handled edge cases. Now it runs automatically on repeat at near-zero cost. You only hear from Viktor if something goes down.
Level 2: Smart triggers (80–90% cheaper)
Instead of running AI on every cycle, Viktor first does a quick, inexpensive check: Is there a new message? Did revenue drop more than 10%? Did a file change? If nothing's happening, the automation exits immediately — no AI, no cost. If something needs attention, then Viktor fires up and takes action.
This is the right approach when you have a task that sometimes needs action. Most of the time, Viktor checks and moves on. The AI only runs when there's something to do.
To set this up, just tell Viktor something like: "Only run this automation if [condition is met]." Viktor will handle the rest.
Level 3: Full AI on every run (most expensive)
AI reasoning runs on every execution. This makes sense for tasks that genuinely require analysis each time — things like complex reporting, multi-source synthesis, or situations where the inputs are always different.
If an automation runs more than roughly 6 times per day at this level, costs add up quickly. Before accepting that, ask yourself whether a smart trigger could reduce how often the AI actually needs to engage.
Quick wins:
- Ask Viktor: "Look at my scheduled tasks and tell me which ones can run on autopilot without AI." Viktor can audit its own automations and suggest optimizations.
- Limit schedules to working hours. Mon–Fri, 9–5 instead of 24/7 is an instant cost reduction for anything tied to your team's workflow.
- Question the frequency: does something really need to run every hour, or would once a day work? Most monitoring doesn't need real-time resolution.
The principle behind all of this: the best use of Viktor's intelligence is to build things that run without intelligence afterward. Use AI once to create automations that then run forever on their own.
2. Keep conversations focused
Viktor reads the full history of a conversation every time you send a new message. The longer the thread, the more context it processes — and the more credits each message costs. A 60-message conversation costs meaningfully more per message than a quick 5-message exchange.
The fix is simple: start a new conversation for each new task. Don't treat your Viktor chat like a never-ending thread where everything lives. Think of each conversation like a task — open it, get it done, start a fresh one for the next thing.
Simple rules:
- New topic → new conversation.
- Task complete → start fresh for the next one.
- Don't run one mega-thread for everything. The costs compound across the entire history.
3. Pick the right model for the task
Viktor supports multiple AI models, and you can choose which one to use for each automation. Viktor will pick a sensible default based on the task, but you can always override it.
The models, from most to least powerful (and most to least expensive):
| Model | Best for |
|---|---|
| Claude Opus | Complex reasoning, multi-step analysis, nuanced writing, strategic work |
| GPT-5.4 | Complex professional work |
| Claude Sonnet | Routine work: data lookups, first drafts, status checks |
| Gemini Flash | Simple, high-volume tasks where speed and cost matter more than depth |
For most recurring automations, a mid-tier model handles the job well at a fraction of the top-tier cost. Save the most powerful models for work that genuinely needs them: deep analysis, complex debugging, or workflows that pull from many tools at once.
If you've already set up automations on a powerful model and want to switch, just ask Viktor: "Switch this task to a more cost-effective model."
4. Give clear, specific instructions
Vague instructions force Viktor to explore and ask follow-up questions. Specific instructions let Viktor execute directly. Every exploratory step costs credits.
The difference in practice:
| Vague | Specific |
|---|---|
| "Check our analytics" | "Pull last week's conversion rate from PostHog for the signup funnel" |
| "Create a report" | "Create a PDF with this month's revenue by product line from Stripe, include a bar chart" |
| "Help me with email" | "Draft a follow-up email in HubSpot for deals that went silent in the last 14 days" |
| "Look at our ads" | "Compare Meta Ads spend vs. last month, flag any campaign with cost per lead up more than 20%" |
The pattern: mention the specific tool or platform when you know it, specify the time range, and state what you want the output to look like. The more context you give upfront, the fewer turns Viktor needs.
If you're running a task repeatedly, spend 30 seconds making the instruction precise once. The savings multiply across every future execution.
5. Be smart about browsing and image generation
Web browsing uses credits at every step — each page load, click, and scroll requires Viktor to process what it sees and decide what to do next. Image generation has its own cost on top of the AI reasoning involved.
For browsing:
- Give Viktor direct URLs when you know them: "Check https://status.stripe.com" instead of "go find Stripe's status page." One step vs. several.
- For recurring checks on external websites, ask Viktor to build an automated check that goes straight to the data source instead of navigating a webpage. The direct approach is faster and cheaper.
For images:
- Only generate images when you specifically need them.
- For charts and graphs, ask Viktor to create them from your data directly rather than using AI image generation. Data-driven charts are cheaper, faster, and often look better.
6. Monitor your usage
Viktor gives you the tools to understand your spending. Use them.
Usage dashboard at app.getviktor.com/usage shows per-task and per-automation costs. You can see exactly which conversations and automations are using the most credits.
Burn rate tracking shows your daily average so you can see if you're on pace for the month.
Ask Viktor directly:
- "What are my most expensive scheduled tasks this month?"
- "Show me my credit usage breakdown for the last 30 days."
- "Which automations are costing the most, and can any be optimized?"
Viktor can audit its own spending and suggest where to cut. As our co-founder Peter put it: "We even had the agent analyze its own spending and suggest where it could downgrade. It worked surprisingly well. Turns out LLMs are decent at optimizing their own resource usage if you ask them to."
Build the habit: do a monthly credit check. Look at your top 5 most expensive tasks and automations. Ask whether any of them can be made smarter.
7. Let Viktor build things that run on their own
The most cost-efficient pattern: use AI once to create something that runs forever without AI.
Every time Viktor does something repetitive for you, ask: "Can you turn this into an automation that runs on its own?"
What this looks like in practice:
- Instead of asking Viktor daily "check our server status": ask it to build a monitor that checks automatically and only messages you when something's wrong. Near-zero ongoing cost.
- Instead of weekly "summarize our Slack channels": set up an automation that only summarizes when there's meaningful new activity. AI runs maybe 20% of the time.
- Instead of repeatedly "format this data as a PDF": ask Viktor to build a reusable template you can trigger anytime without using AI credits.
The mindset shift: treat Viktor like someone who builds systems for your team, not just someone you message with tasks. A great employee doesn't solve the same problem twice — they create a process for it. Viktor does the same thing.
8. Earn more credits
Your paid plan isn't the only source of credits.
Volume discounts increase with your plan:
| Plan | Credits/month | Discount |
|---|---|---|
| $300/mo | 125K | 4% |
| $500/mo | 220K | 9.1% |
| $1K/mo | 460K | 13% |
| $5K/mo | 2.4M | 16.7% |
Reward credits stack on top of your billing credits and never expire:
- Referral Program: Refer other teams and earn permanent credits.
- Viktor Creator Program: Post about Viktor on LinkedIn or X, submit after 7 days with your impressions data. Choose between credits (50% more value than the cash option) or cash payout.
- Trial credits: Your initial trial credits are reward credits. They don't disappear when your billing cycle resets.
Team pooling: Credits are shared across your entire team. One plan covers everyone — no per-seat overhead or wasted capacity from underused seats.
A note on the Creator Program: when you choose credits over cash, you get 50% more value. If you're an active Viktor user, that's the better pick.
Getting started
The fastest thing you can do right now: open app.getviktor.com/usage and look at your top 5 most expensive tasks and automations. Then ask Viktor: "Which of my scheduled tasks can run on autopilot without AI?"
Viktor will tell you. And the cost of asking is a rounding error compared to what you'll save every month.