Tech Strategy in the AI Era — A Playbook
Rationalize your stack for agents as first-class users
Every SaaS tool you bought in 2019 assumed humans were the users. Every new tool assumes agents are. This playbook walks you through auditing your stack, deciding what stays, what goes, and what becomes API-first -- so the tools you choose tomorrow don't lock you out of the agents you'll run next quarter. The tech strategy job changed; this is the new version of it.
How to read this playbook · The AI-Era Lens
Tech stack when agents are the users
The foundation in this playbook (architecture decisions, vendor evaluation, build-vs-buy, observability, security) is timeless. The AI era inverted the buying scorecard and changed which tools become structural to your stack. Hold these six shifts in your head as you work through every module — same disciplines, very different inputs.
Shift 1
The buying scorecard inverted
Old order: features → price → UI → security → support → integrations. New order: API completeness → auth granularity → event coverage → rate limits → observability → security → price. UI moved way down because most of the team isn't in the UI anymore. Read the vendor evaluation modules with an inverted scorecard.
Shift 2
Auth granularity is the bottleneck
Whole-team accounts with everything-or-nothing API tokens are increasingly unusable. Per-agent credentials with minimum-scope permissions become structural. Read the security and access modules with 'can I grant an agent permission to do exactly X' as a load-bearing test.
Shift 3
Webhooks beat polling, by a lot
Polling stacks up across many agents and burns rate limits. Webhook-first tools become first-class citizens. Read the integration modules with 'do they emit events as webhooks or only on polling' as a deciding factor.
Shift 4
The build-vs-buy line moved
Building dropped roughly an order of magnitude because agents handle most of the implementation. Things that were 'obviously buy' in 2019 are 'honestly worth building' in 2026 — bespoke CRM, internal dashboards, ops tooling. Read the build-vs-buy modules with the new math.
Shift 5
Migration cost dropped, switching cost stayed
Data migration is fast now (agents do it). Agent-rule rebuilding isn't — every agent configured against the old vendor has to be redesigned against the new one. Read the vendor selection modules assuming longer-term commitments and deeper diligence up front.
Shift 6
Observability changed shape
Logs/metrics/traces still matter. What's new is agent-watching primitives — replay decision trees, audit hallucinations, capture the customer-saw-Y-when-it-should-have-been-X moment. Read the observability modules as 'design agent introspection,' not just app introspection.
How to read the foundation modules
Read every framework in this playbook through these six shifts. Architecture principles still apply. Security still matters. ROI math still works. What changed is which tools are structurally fit for an agent-augmented operation. When you do a vendor-evaluation exercise, weight API/auth/events at the top and UI near the bottom.
What's Inside
27 interactive modules — first 3 are free to preview.
Why this playbook?
Actionable exercises
Not theory — hands-on activities you complete for your business.
Scoring frameworks
Rate where you stand today and track improvement over time.
Battle-tested frameworks
Built and refined inside real operating businesses, not theory.
Walk away with a plan
By the last page, you have a concrete action plan ready to execute.
Who is this for?
Written by Tiago Santana
Growth operator. $100M+ in revenue generated across companies. Founder of Gardenpatch and The Cooling Co.
I've spent the last decade running technologyfor companies at $1M–$100M ARR. When AI agents joined the team, almost everything I knew got rewritten. This playbook is what I'd hand a new technologyleader on day one in the AI era — not what worked in 2019. Every module is something I'd actually use, today, in my own companies. Money-back if it doesn't help.
More about Tiago →Founding members get a free copy
The honest version: these playbooks launched in May 2026. No reviews here yet — because the first ten people are still reading them.
First 10 reviewers · honest feedback wanted
Free copy of any playbook in exchange for an honest review.
Read it. Use it on a real problem you're working through. Tell us what landed, what didn't, and whether it was worth it. Your review goes on this page (with your name + role, or anonymous — your call).
Who this is for: operators running a real team (any size, any industry) who would actually use a framework like this and tell the truth about it. Not for resellers, not for AI-generated reviews, not for five-star-as-default. Critical reviews are more useful than glowing ones.
Related Articles
Deep dives and practical advice in technology.
Stack Evaluation Scorecard: The 12 Questions I Ask Every SaaS Vendor in 2026
The vendor evaluation form most companies still use was designed in 2017. None of its criteria predict whether a tool works in an AI-augmented operation. The 12-question scorecard I actually use at Gardenpatch and The Cooling Co.
Tech Stack When Agents Are the Users: The New Stack Playbook for 2026
Every SaaS tool you bought between 2015 and 2023 assumed humans are the users. Every tool you should evaluate in 2026 assumes agents are. Six shifts for the new stack: inverted buying scorecard, auth granularity as the bottleneck, webhooks over polling, moved build-vs-buy line, switching cost stayed high, and observability that watches the agent.
The Small Business AI Implementation Roadmap: A 90-Day Plan to Automate Without Losing Control
A phased 90-day AI implementation plan for businesses with 5 to 50 employees. Covers readiness assessment, tool selection, pilot rollout, and optimization with real examples from agencies, HVAC companies, and accounting firms.
Technology Strategy: Navigating Future Trends and Predictions in Tech
Discover the latest trends and predictions for technology strategy. From AI and blockchain to cybersecurity and IoT, unveil the future of businesses tech.
Level up every department
Each playbook tackles a core business discipline. Combine them for full-stack growth.
Marketing in the AI Era — A Playbook
Every framework you learned for marketing got rewritten when AI agents joined your team. This playbook is the new one. How to design tests, run channels, brief agents, and measure outcomes when your stack does the execution and you set the rules. Built from $100M+ in revenue across companies that ran the old playbook before the new one.
Sales in the AI Era — A Playbook
Sales used to be calls per day. Now it's the quality of the system that runs your reps and their agents. How to build a sales machine where AI handles prospecting, drafts the first email, the first proposal, and the first follow-up .. and your reps focus on closing. Objection handling, pipeline truth, and forecasting included.
Operations in the AI Era — A Playbook
Operations stopped being about process maps and started being about which step a human still has to do. This playbook walks you through that decision for every role, workflow, and function in your business. Org design, metrics, task management, and continuous improvement for teams where some teammates are agents and some are humans.
Want 1:1 guidance?
Book a strategy session and apply the frameworks directly to your business. $250 for 25 minutes or $450 for 50 minutes with Tiago.
Book a Strategy Session →