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The technical end of no-code: pipelines, chatbots and knowledge bases in a visual builder — with a Python SDK underneath when the canvas runs out.
The pipeline builder for a technical solo founder shipping AI workflows as products — the catch is it expects you to be that technical founder.
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As of November 2026, VectorShift costs $20/month billed annually for 5 AI pipelines — the technical founder's builder, with a Python SDK under the canvas.
You are technical, your workflows are AI pipelines with knowledge bases and model chains, and you may later ship them as product features via the SDK or API.
You want office-app plumbing or a hand-held first automation — Zapier, Make or Gumloop fit a non-technical founder better.
Workflows are built only from verified capabilities in our listing research — no vendor copy, nothing invented.
Starts You load your help content into a knowledge base
You get A customer-facing chatbot that answers from your material
Approval Review the grounded answers on real questions before it faces customers
A support surface without a per-seat helpdesk AI subscription
Starts Source data or documents arrive
You get Processed output where your other tools can use it
AI processing as infrastructure, not a chat window
Starts A pipeline proves itself in the builder
You get A shipped AI feature built on the prototype you validated
No rebuild when an automation becomes a product
One pipeline, 1,000 actions and one knowledge base teach the builder's shape with real data.
Standard caps both at five — the Pro decision is usually about caps, not volume.
LLM calls are not pipeline actions; usage beyond included credits is its own line on the bill.
Time to first useful result: Half a day for a first pipeline; the SDK route assumes Python comfort · no-code 3/5
Billed per plan by pipelines, pipeline actions and knowledge-base storage, with an annual toggle saving 20%: Standard is $20/month billed annually ($25 billed monthly) and Pro is $100/month billed annually ($125 billed monthly) plus usage-based pricing if the plan is exceeded. Pipeline actions exclude LLM calls; Standard includes $5 of AI credits a month.
Free — 1 pipeline, 1,000 pipeline actions/month
Flat / month · $0/mo for one person
$20/month billed annually ($25 billed monthly) — 5 pipelines, 10,000 pipeline actions/month
Flat / month · $20/mo for one person
$100/month billed annually ($125 billed monthly) — unlimited pipelines, 100,000 pipeline actions/month
Flat / month · $100/mo for one person
| Plan | Published price | Solo monthly | Billed by | Limits & overage |
|---|---|---|---|---|
| Starter | Free — 1 pipeline, 1,000 pipeline actions/month | $0/mo | Flat / month | 1 pipeline · 1 integration · 200 vectors of knowledge storage |
| Standard | $20/month billed annually ($25 billed monthly) — 5 pipelines, 10,000 pipeline actions/month | $20/mo | Flat / month | 5 integrations · LLM calls are not pipeline actions but usage beyond credits is billed |
| ProSolo pick | $100/month billed annually ($125 billed monthly) — unlimited pipelines, 100,000 pipeline actions/month | $100/mo | Flat / month | Usage-based pricing applies if the plan is exceeded |
The Standard-to-Pro jump is 5x ($20 to $100 billed annually) and is triggered by pipeline count and integrations, not just volume — a sixth integration can force it.
Price record · 2026-11-06: Checked 2026-11-06 on vectorshift.ai/pricing in BOTH toggle states (Individual plans, Annually - save 20%): billed annually Starter Free / Standard $20 / Pro $100 per month; billed monthly Standard $25 / Pro $125 per month plus usage-based pricing if the plan is exceeded. Allowances read on the same page: Starter 1 pipeline and 1,000 actions/month; Standard 5 pipelines, 10,000 actions and $5 of AI credits; Pro unlimited pipelines and 100,000 actions. A pipeline action is defined on the page (querying a knowledge base, sending data via an integration, outputting information); calling LLMs is explicitly not a pipeline action. Organisation/team tiers exist behind a separate toggle and are not the solo route. As of November 2026 the entry paid tier is $20/month billed annually.
The same fields on every deep listing in this job, so agents compare field by field. “Not verified” means our research has not confirmed it yet — it never means “doesn't have it.”
As of November 2026, VectorShift's Standard plan is $20/month billed annually — and it is the listing in this job most honest about being built for technical founders. The platform builds AI pipelines visually: chain model calls, knowledge-base lookups, data loaders and integrations into a workflow, then deploy it as a chatbot interface, an automation or an API endpoint. A free Starter plan (one pipeline, 1,000 pipeline actions a month, one knowledge base) is enough to learn the shape; Standard raises that to five pipelines and 10,000 actions with a small monthly AI credit, and Pro at $100/month billed annually removes the pipeline, interface and integration caps. The differentiator is the dual interface — everything the canvas can do is also available through a Python SDK, so a workflow that starts as a founder's weekend automation can graduate into a product feature without a rebuild, and a marketplace of pre-built pipelines shortens the start. Billing needs the usual care: a pipeline action is a step the pipeline performs, LLM calls explicitly do not count as actions, and AI usage beyond the included credits is priced separately — so the plan price and the model bill are, again, two different numbers.
Solo Fit stays the public score: the qualitative roll-up of these four published inputs under the How We Rank method. The SDK-plus-canvas range carries it; a 3/5 no-code score marks it Technical by design.
The difference: MindStudio is the friendlier AI builder with at-cost model routing and app deployment; VectorShift is the more technical pipeline-and-SDK route.
The difference: n8n is the open-source general workflow engine you can self-host; VectorShift is hosted and specialised in AI pipelines and knowledge bases.
The difference: Gumloop rents finished agent capacity at $37 flat; VectorShift makes you build the pipelines — cheaper at entry, more work, more control.
Starter is free with 1 pipeline and 1,000 pipeline actions a month. Standard is $20/month billed annually ($25 billed monthly) for 5 pipelines and 10,000 actions; Pro is $100 ($125) for unlimited pipelines and 100,000 actions. Prices read on vectorshift.ai/pricing on 2026-11-06 in both toggle states.
Per the pricing page, a pipeline action is when a pipeline does something — querying a knowledge base, sending data via an integration, or outputting information. Calling an LLM is explicitly not a pipeline action; AI usage beyond the credits included in a plan is billed separately.
No — there is a full no-code interface — but the platform is aimed at technical users: a Python SDK mirrors the builder, and getting real value from pipelines, knowledge bases and model choices assumes comfort with how AI systems fit together.
Caps, not just volume: Standard allows 5 pipelines, 5 interfaces, 5 knowledge bases and 5 integrations. Pro removes those caps and raises actions to 100,000 a month, at $100/month billed annually.
VectorShift is not in a published stack yet — stacks are edited buying guides, and memberships are added only when the combination has been worked through.
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