
v0.7.0
LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.
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LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.
A B2B demand generation agency used AI agents to join campaign data to on-page behaviour, found one conversion rate hiding eleven, and turned the worst segments into landing-page tests with the evidence attached.
A social-first creative agency used AI agents to find what separates winning ads from losing ones, then build variations that isolate one idea at a time, testing 50% more per month and lifting click-through 15%.
A performance marketing agency used AI agents to isolate why campaigns slip, fix what it controls within limits, and escalate the rest with evidence, cutting cost per acquisition 15% and halving time to action.
A coworking booking platform used AI agents to join ad spend to billing data, move budget daily within set limits, and keep the month on pace, growing paying customers 15% on the same budget.
Someone who learns really quickly, is proactive, has a lot of ownership and doesn’t need to be told what to do all the time. - Marketing in San Francisco, CA
A 50-person mobile game studio replaced a part-time, hit-or-miss research habit with an AI agent that watches 20+ competitors across four ad networks and delivers a tagged digest every morning.
A national food delivery platform used AI agents to flag failing restaurant partners two weeks early, catch a leaked coupon code in week one, and triage urgent support tickets in minutes.
A five-person support team was buried in tickets mixing routine questions with sensitive ones. By building an AI support agent around guardrails first, this fintech hit 4-minute first responses and zero compliance violations.
An independent B2B operations consultant replaced his messy spreadsheet and willpower-driven follow-ups with a CRM made of AI agents — sourcing, scoring, and nurturing 340+ leads into 6 new client engagements in 5 weeks.
A mobile subscription app used Mindra to predict which ad campaigns would miss CPI in the first 24 hours, auto-pausing waste and cutting losing ad spend 22%.
A two-person HR team supporting 150 employees stopped answering the same PTO and policy questions all day. Here is how they put AI agents to work on the routine and kept judgment human.
A B2B SaaS team fused Amplitude, Zendesk, and Stripe data with AI agents to score 940 accounts daily, surface real churn signals 3 weeks early, and save 41% of flagged accounts.
An AI agent team can fully automate customer onboarding - from intake and CRM setup to Slack welcome and follow-up - without a single developer.
Point tools handle one step. A Mindra agent team handles all of it - research, personalization, sequencing, approval, and CRM sync.
How marketing agencies use AI agent teams to pull data, write insights, and deliver client reports without touching a spreadsheet.
AI agents can take real actions across your business tools. Here is how to decide which actions run automatically and which need a human sign-off first.
Most outbound prospecting is still done by hand. An AI agent team running on Mindra changes that: three coordinated agents handle sourcing, scoring, and outreach while your reps focus on conversations.
Comparing Zapier, Make, LangGraph, and the new "AI department" category? They solve different problems for different people. Here is a plain-language decision guide to pick the right one.
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