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Competitor price monitoring for a weekly pricing review

Give a Midpoint worker a short pricing-page list. Get confirmed changes, unchanged offers and unresolved checks in one digest.

Oct 06
Daniel Taratorin
Stop checking order status in five different tabs

Hand a supplier order check to a Midpoint worker. Get back changed dates, confirmed matches and the orders that still need a person.

Oct 01
Daniel Taratorin
AI Agent Acceptance Criteria Template

A business-readable sign-off template for approving an AI agent’s outcome, tools, human controls, evidence, rollback threshold, and re-approval triggers before go-live.

Sep 23
Daniel Taratorin
AI Workflow Intake Form Template: What to Capture Before You Automate

Use this AI workflow intake form template to capture the problem, process, data, permissions, risks, owner, success metric, stop criteria, and approval path before you automate.

Sep 21
Daniel Taratorin
AI Automation Cost Control Checklist: Set Limits Before Workflow Spend Escapes

Set live spend limits, monitor usage signals, govern approval thresholds, and close cost exceptions for AI workflows.

Sep 18
Daniel Taratorin
Browser Automation Test Plan: A Practical Template for Release Confidence

Use this browser automation test plan template to define UI test cases, selector contracts, test data, visual checks, and regression release gates.

Sep 17
Daniel Taratorin
AI Workflow Exception Management: Build a Queue That Turns Edge Cases Into Decisions

Build an AI workflow exception queue with clear routing, evidence requirements, SLAs, resolution codes, and feedback loops for human review.

Sep 16
Daniel Taratorin
AI Agent Access Review Checklist: Recertify Access Before It Becomes Risk

Use this AI agent access review checklist to inventory access, recertify permissions, expire exceptions, address dormant access, and verify revocation.

Sep 15
Daniel Taratorin
AI Workflow Documentation Template: A Copyable Operating Record for AI Automations

Copy this AI workflow documentation template to record purpose, inputs, permissions, approvals, exceptions, owners, evidence, and review dates.

Sep 11
Daniel Taratorin
AI Workflow Ownership Model: A RACI Template for Accountable AI Operations

Use this AI workflow ownership model and RACI template to assign accountability, decision rights, evidence reviews, exceptions, and offboarding.

Sep 11
Daniel Taratorin
Browser Automation Monitoring Checklist: Signals, Alerts, Evidence, and Ownership

Use this browser automation monitoring checklist to define journey signals, alerts, evidence, and response ownership.

Sep 10
Daniel Taratorin
AI Agent Data Retention Policy Template: Schedules, Deletion, and Legal Holds

Use this AI agent data retention policy template to set retention schedules, deletion verification, legal holds, and review controls.

Sep 09
Daniel Taratorin
AI Agent Incident Severity Matrix: Classify Impact, Escalate Safely, Preserve Evidence

Use an AI agent incident severity matrix to classify impact, set escalation triggers, handle unknown actions, and preserve the evidence behind each decision.

Sep 08
Daniel Taratorin
AI Agent Deployment Checklist: Release Readiness Before You Go Live

Use this AI agent deployment checklist to make a defensible go-live decision: scope, owners, evidence, approvals, rollback, and sign-off.

Sep 07
Daniel Taratorin
AI Agent Incident Communication Plan: Templates, Cadence, and Evidence

A practical AI agent incident communication plan with severity criteria, stakeholder templates, status cadence, evidence, and follow-up.

Sep 04
Daniel Taratorin
AI Agent Change Management: A Controlled Release Process for Production Agents

A practical release process for versioning, approving, canarying, rolling back, and recording changes to production AI agents.

Sep 03
Daniel Taratorin
AI Agent Data Privacy Checklist: Controls That Hold Up in Production

A practical enterprise checklist for classifying agent data, minimizing access, controlling retention and transfers, redacting evidence, reviewing vendors, and proving incident readiness.

Sep 02
Daniel Taratorin
AI Agent Handoff Patterns: How to Transfer Work Without Losing Context

A practical guide to transferring work, context, authority, and ownership between AI workers, workflows, and people.

Sep 01
Daniel Taratorin
AI Agent Evaluation Metrics: The Production Scorecard That Tells You What to Fix

Define AI agent evaluation metrics that turn traces into action: outcome success, quality, tool reliability, latency, cost, safety, thresholds, and a weekly review cadence.

Aug 31
Daniel Taratorin
AI Workflow Implementation Plan: A Practical 30-Day Rollout

A practical 30-day plan for rolling out an AI workflow with clear ownership, safeguards, pilot gates, rollback, and evidence.

Aug 28
Daniel Taratorin
AI Agent Access Control: A Practical Permission Model

Design safer AI worker access with separate identities, scoped credentials, approval boundaries, temporary grants, revocation, and audit evidence.

Aug 26
Daniel Taratorin
AI Agent Orchestration: A Practical Guide to Coordinating Work

A practical guide to task routing, shared context, handoffs, concurrency, ownership, failure isolation, and human control.

Aug 25
Daniel Taratorin
AI Workflow Automation Examples for Operations Teams

Seven practical AI workflow automation examples with triggers, inputs, rules, AI judgment, approvals, outputs, controls, and clear do-not-automate boundaries.

Aug 24
Daniel Taratorin
AI Agent Observability Tools Compared: A Practical Buyer Guide

Compare eight AI agent observability approaches by traces, tool calls, evaluations, cost, privacy, alerts, deployment, and OpenTelemetry support.

Aug 21
Daniel Taratorin
AI Agent Failure Recovery Playbook

Recover live AI-agent incidents with a failure taxonomy, stop-or-continue gate, bounded retries, checkpoints, compensation, escalation, and rollback decisions.

Aug 21
Daniel Taratorin
Browser Automation vs API Integration: A Decision Framework

Choose API, browser UI, or hybrid automation with a ten-factor scorecard covering capability, reliability, permissions, volume, auditability, and maintenance.

Aug 21
Daniel Taratorin
AI Workflow Audit Trail Requirements: An Evidence Architecture Template

Design an AI workflow audit trail with a copyable event schema for actors, tools, decisions, provenance, redaction, retention, access, and incident reconstruction.

Aug 21
Daniel Taratorin
AI Workflow Automation ROI Calculator: A Transparent Business Case

Calculate risk-adjusted automation benefits, full life-cycle costs, ROI, payback, sensitivity ranges, and do-not-automate thresholds with transparent formulas.

Aug 21
Daniel Taratorin
AI Agent Testing Framework: From Unit Tests to Production Canaries

A practical framework for test pyramids, evaluation datasets, acceptance gates, regression suites, failure injection, and production canaries.

Aug 21
Daniel Taratorin
Browser Automation Security Checklist for AI Agents

A practical threat model and procurement checklist for credentials, permissions, prompt injection, isolation, approvals, logs, and kill switches.

Aug 20
Daniel Taratorin
Human-in-the-Loop AI Approvals That Scale

A practical playbook for risk-tiered AI approvals, thresholds, escalation SLAs, exception queues, and audit evidence.

Aug 19
Daniel Taratorin
AI Agent vs Workflow Automation: How to Choose

A practical decision framework for choosing deterministic workflows, adaptive AI agents, or a hybrid architecture for real business operations.

Aug 18
Daniel Taratorin
AI Agent Reliability Checklist: 9 Production Controls

A practical checklist for retries, idempotency, durable state, observability, approvals, rollback, audit logs, and acceptance testing.

Aug 17
Alexander Heyman
Computer-Use AI Agents Without APIs: When Browser and Desktop Automation Is the Right Choice

When APIs aren't an option, computer-use AI agents automate legacy software via browser and desktop access. A practical decision framework for ops teams.

Aug 15
Alexander Heyman
AI Workflow Automation Platforms Compared: Midpoint vs Zapier, Make, n8n, Lindy & Gumloop

A practical comparison of six AI workflow automation platforms—how they build, run, and govern automation, and which operating model fits your team.

Aug 11
Alexander Heyman
Computer Use for Complex Workflows

Most “computer use” agents fall apart when workflows span tools, approvals, and edge cases. Here’s how Midpoint handles complexity end to end.

Feb 17
Alexander Heyman
How Midpoint Uses Computer-Use Models

A practical look at how Midpoint applies computer-use models to run real workflows across web apps and legacy tools, with guardrails, verification, and monitoring so automation stays reliable.

Feb 16
Alexander Heyman
Why OpenClaw Bots Need Midpoint: The Missing Execution Layer for Computer-Use Agents

Computer-use models can click, type, and navigate, but they still need a reliable execution layer to run real work end to end. Midpoint turns OpenClaw-style bots into production systems with integrations, approvals, monitoring, and self-healing workflows.

Feb 06
Alexander Heyman
How OpenCall Shipped a Production Calendar Agent in Under an Hour With Midpoint

OpenCall had an internal Google Calendar agent buried in tech debt. They needed a reliable availability and booking API fast. Midpoint replaced weeks of engineering with a prompt-to-production workflow, plus observability and fast fixes, and helped OpenCall automate outbound prospecting and inbound inbox triage across Gmail and HubSpot.

Feb 05
Daniel Taratorin
Lead Capture That Actually Converts: Typeform to HubSpot or Salesforce With Auto-Enrichment

A full-funnel lead routing workflow: Typeform submission triggers enrichment over HTTP, AI classification, CRM record creation in HubSpot or Salesforce, owner assignment, and Slack alerts.

Jan 30
Alexander Heyman
Invoice Intake That Doesn’t Break: Gmail to QuickBooks, With Human-Friendly Exceptions

Automate invoice processing from Gmail or Outlook: extract fields with AI, create bills in QuickBooks, log to Google Sheets, and alert the finance channel in Slack or Teams with approvals and retries.

Jan 30
Daniel Taratorin
The Daily Reconciliation Digest That Catches Revenue Leaks Before They Become Fire Drills

A production-ready finance workflow that pulls Stripe payments, matches to QuickBooks, writes exceptions to Google Sheets, and posts a daily digest to Slack or Teams with monitoring and alerts baked in.

Jan 29
Alexander Heyman
Support Triage and Translation: The Workflow That Makes Your Team Feel Twice as Large

Automate support intake from Gmail or Outlook: detect language with Google Translate, classify issues with AI, create Linear or Asana tasks, and alert the on-call channel in Slack or Teams.

Jan 28
Daniel Taratorin
Sales Inbox to CRM: The Agent That Turns Emails Into Next Steps Automatically

Build a sales inbox agent that classifies intent, updates HubSpot or Salesforce, posts next steps in Slack, and logs context to Notion or Google Docs, with approvals and monitoring.

Jan 26
Alexander Heyman
Weekly Pipeline and Ops Briefing: The Executive Update That Runs Itself

Automate leadership reporting: pull CRM changes from HubSpot, Salesforce, or Dynamics, summarize risks with AI, generate a Google Doc, and post the briefing to Slack or Teams.

Jan 20
Daniel Taratorin
The Hidden Tax on Your Business: Manual Work You Forgot You Still Do

Manual work is the silent tax draining your team’s time, accuracy, and speed. Here’s where it hides, why DIY automations break, and how Midpoint removes it with prompt-to-production workflows that stay running.

Jan 19
Alexander Heyman
Gmail to Google Sheets Automation Without Scripts

Getting emails from Gmail into Google Sheets is a common workflow, but most solutions still require manual extraction, brittle scripts, or wiring logic in a visual builder. This post shows how Midpoint makes it straightforward by letting you describe the outcome and generating the workflow for you.

Dec 19
Alexander Heyman
Midpoint Turns Complex Wiring Into Intent

In 2026, the best AI workflow automation tools are defined by whether they can understand intent, build workflows on your behalf, and keep them running without constant manual debugging. This post breaks down the leading platforms and explains why Midpoint stands out by letting you describe the workflow instead of building it yourself.

Dec 16
Alexander Heyman