Ad results
Read campaign results before the weekly report.
Research · Example capability
SpringBrandvsMakeA Make alternative.
Describe it. Skip the canvas.
Make builds scenarios module by module on a visual canvas, now with AI agents in open beta. SpringBrand turns a task you describe into an agent that runs on schedule and improves every run. Compare SpringBrand vs Make.
Interactive design preview · Curated examples, no live Agent runs
SpringBrandSample outputA fictional example of an agent that reads both ad platforms and writes the weekly summary.
GoogleFacebook
SheetsIllustrative tool stackYOUR DELIVERABLE
One ad report across Search and Meta.
| Campaign | Last week | Action |
|---|---|---|
| 01Search · Brand | Cost per lead down 9% | On track |
| 02Meta · Retargeting | Click-through down 30% | New creative |
| 03Search · Competitor | Spend up 40%, 2 leads | Review |
Brand search is on track. Retargeting creative is wearing out, so the report suggests two new variants; competitor terms spent more for few leads and need a decision.
A clear starting point for your review
ONE TASK. A USEFUL DELIVERABLE.
Ad results → one report → changes to review
THE SHORT VERSIONMap the scenario,
Map the scenario,
or describe the job.
Choose Make when you want to see and control every module on a visual canvas, especially for heavy data transformations that must run the same way each time.
Choose SpringBrand as your Make alternative when the job changes from run to run — ad reports, content and research — and you would rather describe it once than keep a growing canvas of modules up to date.
THE PRACTICAL DIFFERENCES
Compare agents, scenarios and cost.
Each row is a question people ask before they move work off Make. Answers come from each product’s public pages.
Swipe the table to compare both platforms.
| Your question | SpringBrand | Make Visual scenarios & AI agents |
|---|---|---|
| How do I build an agent? | Describe the job in chat and confirm the setup SpringBrand proposes, or fill in instructions, data sources, apps and skills in a form. | Drag modules onto a visual canvas to build scenarios; Make AI Agent (New) adds agents with tools, knowledge files and a test chat, in open beta. |
| Who decides the steps? | The agent plans the steps and picks the tools on each run. | You connect each module, router, iterator and filter; a Make agent picks from the tools you give it inside a scenario. |
| What happens while I’m offline? | On paid plans, agents run in the cloud on a schedule by day, week or set time and post results to Slack, Microsoft Teams or Lark. | Scenarios run on a schedule or instantly from webhooks; Free has a 15-minute minimum interval. |
| How does it get better between runs? | Each agent learns from results and feedback and remembers your preferences, formats and usual tools for the next run. | An agent remembers a conversation only when you set a thread ID; otherwise each run starts fresh. |
| What can it connect to? | A marketplace of Agents, Skills and 10,000+ APIs and plugins, built-in search, social, SEO and sales data, and your own Gmail, Slack or HubSpot. | Thousands of app integrations, plus HTTP requests and custom apps. |
| How many jobs can run at once? | 1 agent at a time on Free, 2 on Plus, 5 on Pro and 20 on Max. | Scenarios run per trigger within your credit allowance; Free allows 2 active scenarios. |
| Who on my team can use it? | Anyone with an agent’s link can run it; Team plans add Owner, Admin and Member roles and pooled credits, and Enterprise adds SSO and SCIM. | Teams plan adds team collaboration and shared templates; Enterprise adds governance options. |
| What will it cost? | Paid plans from $29 a month, or $23 billed annually; one credit balance, with an agent task using about 15–40 credits. | Core reported at $9 a month billed annually for 10,000 credits; most modules use 1 credit per operation, AI modules by tokens, and iterators multiply operations. |
| Where can I start for free? | Free plan: 300 credits on signup, then 100 a month; no credit card. | Free: 1,000 credits a month and 2 active scenarios. |
Based on public product pages · Reviewed October 23, 2026View sources
01 / AI AGENT BUILDERDescribe the job in chat.
Describe the job in chat.
Or fill in a form.
Tell SpringBrand what you need in plain language — no modules to drag, no fields to map. It proposes the agent’s setup, you confirm it, and the same conversation becomes the agent you run again.
Prefer to set it up yourself? Fill in the same four parts in a form: instructions, data sources (APIs), connected apps such as Gmail or Google Sheets, and skills. Either way, the agent keeps its instructions, its tools and what it learned from earlier runs.
- Instructions and data sources
- Connected apps and skills
- Review the first result, then save, schedule or share
A TASK BECOMES AN AGENTIllustration
You
Pull last week’s Google Ads and Meta results into one report and flag what to change.
Describe the job
01Goal, inputs and the output you expect
Confirm the setup
02Instructions, data sources, apps & skills
Review and save as an agent
03Rerun, schedule or share with the team
Ad report agent · Weekly summaryReady to review
02 / ALSO IN YOUR AI TOOLSWork in Claude Code?
Work in Claude Code?
Bring SpringBrand with you.
Most teams build and run agents in SpringBrand itself. If you already work in Claude Code, Codex or Cursor, SpringBrand also runs as an MCP server and plugin there, with the same tools and data sources.
Make agents can also call MCP tools from third-party servers inside a scenario. Compare which actions you need and how each product counts them.
Explore MCP client setupYOUR AGENT. CONNECTED.Illustration
Claude CodeYour workspaceSpringBrandAI agent builder
Files
Knowledge
UpdatesConnect SpringBrand’s MCP tools to your Claude Code session.
View Claude Code setup03 / AI WORKFLOW AUTOMATIONWorkflow automation,
Workflow automation,
without the workflow diagram.
In Make you drag modules onto a canvas, map fields, and add routers, iterators and error handlers. In SpringBrand you say what should happen — “collect yesterday’s orders and flag anything unusual” — and the agent works out the steps.
A visual scenario is easy to inspect and debug, which matters for fixed processes and data transformations. An agent suits work that changes from run to run, such as research, writing and reporting, where a canvas keeps growing — and the two can run side by side.
Explore the workflow exampleFROM APPS TO ACTIONWorkflow example
Project filesStatus dataTeam notesSpringBrand AgentRead context · Organize · Summarize
EXAMPLE DELIVERABLE
DraftWeekly project report
ProductPrototype reviewedOn track
OperationsAssign handoff ownerReview
ResearchFindings documentedReady
Source context stays with the report
A clear update and an actionable next step.
04 / MARKETPLACE: AGENTS, SKILLS & APISAgents, Skills and APIs.
Agents, Skills and APIs.
One subscription, one bill.
The SpringBrand marketplace has three shelves: ready-made Agents by function — Sales, Marketing, HR and more — Skills that add expertise such as financial modelling, and APIs for data and tools. Start from a ready-made agent, or add a skill or API to your own.
Credits work across 10,000+ APIs and plugins. Search, social, SEO and sales data are built in — no API keys, including official Ahrefs and Semrush API access — so ten tool subscriptions and ten bills become one subscription and one bill.
For a Make alternative, check the modules your scenarios depend on — including HTTP calls and custom apps — and confirm each action is available in SpringBrand before you move a scenario.
Explore the marketplaceTOOLS FOR THE TASKCatalog illustration
Discover capabilities for your agent
Trend signals
See which products and posts are gaining views.
Research · Example capabilityThe task guides the tool selection.
Illustrative categories. Check live availability and actions in the marketplace.
05 / COMPANY KNOWLEDGE BASEAdd your company docs.
Add your company docs.
Get work that fits.
Upload documents, guidelines and product material to a company knowledge base, and agents follow that context in their answers and output. Connect Gmail, Google Sheets, Slack or HubSpot once, and the agent reads from and writes to them inside the permissions you set.
In this example, the agent reads a project brief and handoff notes and returns a short summary that cites each source and names the one question still open.
Make agents take knowledge files, and keep conversation memory only when you set a thread ID; otherwise each run starts fresh. Compare how each product carries context from one run to the next.
Explore Google Drive MCPCONTEXT YOU CAN FOLLOWExample output
Project brief01Handoff notes02Project handoff summary
The prototype is ready for team review. The remaining dependency is the data handoff.
Owner still to confirmSource 02
Review scope agreedSource 01
06 / SCHEDULED & PROACTIVE AGENTSSchedule it once.
Schedule it once.
Results come to you.
Schedule a task by day, by week or at a set time, and your agent runs it in the cloud while you are offline. Results and alerts land where your team works — Slack, Microsoft Teams or Lark — and you can @mention the agent in a channel to hand over the next task.
SpringBrand runs saved agents on a schedule: 3 daily tasks on Plus, 20 every 15 minutes on Pro, unlimited every 5 minutes on Max. Make scenarios run on a schedule or instantly from webhooks; on Make’s Free plan, scheduled runs have a 15-minute minimum interval.
Typical routines: a daily competitor and social mentions brief, a weekly ad report, new leads sent to the team. Each run teaches the agent your preferences, so start with a draft you review and let the schedule take over once the output is right.
Compare plans for recurring workA REPEATABLE ROUTINESchedule illustration
Weekly project briefing
Example routine · Every Monday
Mon
Tue
Wed
Thu
Fri
Every Monday09:00 · Local time
- 1Collect the latest inputs
Selected project files and updates
- 2Prepare the briefing
Progress, blockers, and open questions
- 3Review the next action
A draft report for the team
Scheduled tasks are included on Plus (3, daily), Pro (20, every 15 min) and Max (unlimited, every 5 min).
SPRINGBRAND VS MAKE PRICING
Compare the cost of your work.
Start with the plans. Then price the same job end to end — the runs, the steps and the people who need it.
SpringBrand
AI agent builder$29/ month
Plus · Monthly price; lower when billed annually
- 3,000 monthly credits
- Run 2 agents at once, with 3 daily scheduled tasks.
- Credit top-ups: $5 per 1,000 on paid plans
MakeVisual scenarios
Core Pro, Teams & Enterprise also available
from$9/ month
Core, billed annually ($10.59 monthly)
- 10,000 credits a month
- Pro ($16) and Teams ($29) keep 10,000 credits
- AI modules use credits by tokens
Prices checked October 23, 2026. SpringBrand prices are in USD. Credits and Make’s units buy different amounts of work, so no like-for-like savings are implied.
What changes the cost of an AI agent workflow?
When comparing SpringBrand vs Make pricing, price the same job on both: how many operations a scenario run takes (iterators multiply them), how often it runs and which AI modules it uses.
Steps per job
Count every step needed to reach an acceptable result, including retries and AI steps. Make counts 1 credit per operation for most modules, AI modules by tokens, and iterators multiply operations.
Run frequency
Estimate how often the job runs and how many people trigger it. On SpringBrand, scheduled tasks and agents running at once are set by plan.
Data and models
Include paid data sources and model choice. SpringBrand’s built-in data sources and models are paid from the same credit balance, so there are no separate API bills to add.
CHOOSE FOR YOUR TEAM
Which one fits you?
Find yourself below. Many teams end up using both.
Pick SpringBrand if you are…
A marketer who rebuilds the same weekly ad report on a canvas that keeps growing.
- A content lead who wants each podcast episode turned into a content pack for every channel.
- A shop owner who wants product research on a schedule instead of another scenario to debug.
- Using both: a team that keeps its data-sync scenarios in Make and hands reports, content and research to SpringBrand.
Stay with Make if you are…
A builder who wants to see and control every module, router and filter on a canvas.
- A data team that transforms a lot of records with iterators and aggregators.
- A team that already runs many scenarios it knows how to debug.
- An admin who needs Make’s enterprise governance and deployment options.
SWITCHING FROM MAKEMove one workflow.
Move one workflow.
Keep what matters.
Start with the scenarios that keep growing or breaking — usually research, content and reporting. Keep the trigger and the expected result, and let the agent handle the modules in between.
Rebuild one of them as a SpringBrand agent, in chat or with the form. Run both in parallel for a week before you switch the old scenario off — and only switch once the agent’s output is as good and the schedule fits.
Explore a workflow exampleYOUR MIGRATION CHECKLISTPlanning guide
MakeSpringBrand
SpringBrand- 01
Pick the right scenario
Start with a scenario that does research, content or reporting. Pure data syncs and transformations may be better left in Make.
- 02
Trigger & result
Write down what starts the scenario and what a good result looks like. Describe that job to SpringBrand in plain language.
- 03
Modules & accounts
List each module, HTTP call and custom app. Connect those accounts in SpringBrand and check read and write permissions.
- 04
Schedule & switch-off
Run the agent alongside the scenario, then set its schedule. Switch the scenario off after a week of matching results.
Manual evaluation and setup. No automatic Make import is offered.
A FEW MORE DETAILSSpringBrand vs
SpringBrand vs
Make: FAQs
Answers on agents, scenarios, memory, credits, pricing and using both.
It is a good fit when your scenarios do research, writing or reporting that changes from run to run and keep growing on the canvas. You describe the job, review the result and save it as an agent. For heavy, fixed data transformations, Make’s visual scenarios remain a strong choice.
Make AI Agent (New) runs inside a scenario on the canvas and is in open beta. In SpringBrand the agent is the product: you build it by describing the job, it runs on its own schedule, and it improves from each run.
In Make most modules use 1 credit per operation, and an iterator runs the following modules once per item, so a scenario that processes 20 records uses many credits per run. AI modules also use credits by tokens. In SpringBrand an agent task uses about 15–40 credits.
Yes. It learns from results and feedback, remembers your team’s preferences, output formats and usual tools, and applies them on the next run. In Make, an agent keeps conversation memory only when you set a thread ID; otherwise each scenario run starts fresh.
Agents work from live data, the tools you allow and your company documents rather than from model memory alone, and many tasks return sources with the result. Review the first runs; the agent learns from your feedback, so later runs need fewer corrections.
Search the marketplace first — Agents, Skills and 10,000+ APIs and plugins. Connect your own accounts for the apps your work already lives in. For systems that need a custom connection, talk to us about Enterprise; a fixed HTTP call that already works can stay in Make.
Yes — and for many teams that is the right start. Keep the data syncs and transformations that already work in Make, and move the research, writing, screening and reporting jobs that change from run to run to SpringBrand.
There is no automatic import. Pick one scenario, write down its trigger, inputs and expected result, and describe that job to SpringBrand. Run both in parallel for a week before you switch the scenario off.
Make’s Core plan was reported at $9 a month billed annually, or $10.59 monthly, for 10,000 credits, with Pro and Teams at the same credit allowance. SpringBrand Plus is $29 a month, or $23 billed annually, for 3,000 credits; one subscription covers the models, APIs and data an agent uses, and top-ups are $5 per 1,000 credits. Credits mean different things in each product, so price one real job on both.
SpringBrand’s Free plan gives 300 credits on signup, then 100 credits a month, with no credit card and 1 agent at a time. Make also has a free plan with 1,000 credits a month and 2 active scenarios.
Stay with Make when you want to see and control every step on a canvas, transform a lot of data with routers and iterators, or already run many scenarios your team knows how to debug. You can also use both: scenarios for fixed steps, SpringBrand agents for jobs that need judgment.
EXPLORE THE EXPERIENCE
Explore your agent’s next connection.
BRING YOUR NEXT TASKSee what your agent
could get done.
Describe the job, review the result,
and save it as an agent that runs on schedule.
Comparison reviewed October 23, 2026. Product details can change.