Journal

Frameworks

31 posts tagged “Frameworks”

Self-Hosting Fails for Want of a Rule, Not Money

Five excellent free tools sat unadopted for years. The blocker was never cost. It was the absence of a place to put them and a rule for letting them in.

2026-08-15 · 3 min read · Teh Kim Guan, ACMA, CGMA

AI Workflow

The Best Code Is the Code You Never Wrote

A seven-rung laziness ladder for coding agents cut generated code by half without dropping a single safety guard. The order of the rungs is the product.

2026-08-13 · 4 min read · Teh Kim Guan, ACMA, CGMA

Frameworks

Compliance as Operating System: How Gate.io Built Four Different Market Entries

Gate.io built four structurally different market entries: Japan, Turkey, United States, European Union. Each engineered to fit inside the regulator's preferred channel, not around it.

2026-05-20 · 9 min read · Teh Kim Guan, ACMA, CGMA

Product Strategy

Building the Compliance Layer: Product Design for Regulated Data Intermediaries

Most platforms treat compliance as a tax. The ones that last make it the architecture. Twelve design patterns from Plaid, Palantir, SingPass, and Veeva — and what they mean for builders in ASEAN.

2026-05-20 · 11 min read · Teh Kim Guan, ACMA, CGMA

Consulting

The Self-Sustaining Handoff: Why Every Consulting Engagement Should End with a System, Not a Report

Most consultants deliver a report. The client reads it once, implements 20% of it, and files the rest. There is a better exit: a system the client team can operate without you.

2026-05-16 · 6 min read · Teh Kim Guan, ACMA, CGMA

AI Workflow

Brief-then-Fire: A Two-Stage Architecture for AI-Augmented Consulting Workflows

Most AI workflow failures come from either serial prompt cycling or naive parallelism. Brief-then-Fire splits the work into two stages and fixes both problems at once.

2026-05-09 · 9 min read · Teh Kim Guan, ACMA, CGMA

Consulting

The Delegate Reset: When a Team Member's Scope Dies and How to Restart Cleanly

When a project pivots, triaging the old task list is slower and messier than starting fresh. Here is the 30-minute move that produces cleaner delegate alignment every time.

2026-05-08 · 6 min read · Teh Kim Guan, ACMA, CGMA

Consulting

The T1-T4 Framework: Why Most AI Pitches to Malaysian Banks Are Unbuyable

A consultant builds a Claude-powered tool, runs it past a bank IT review, and discovers the pitch was structurally wrong from the first slide. Here is the framework that fixes that.

2026-05-08 · 8 min read · Teh Kim Guan, ACMA, CGMA

Product Strategy

The Scope Compression Session: How I Cut Every 0→1 Product to Its Irreducible Core

The most expensive mistake in 0→1 product work is not building the wrong thing. It is building too much of the right thing. Here is the session I run to fix that.

2026-05-03 · 7 min read · Teh Kim Guan, ACMA, CGMA

Product Strategy

How I Run 0→1 Product Sprints: A Framework for Founders

Most product sprints start with the wrong question. After running sprints at PropertyGuru DataSense, CTOS, and for a dozen consulting clients, here's the framework that actually works.

2026-05-02 · 6 min read · Teh Kim Guan, ACMA, CGMA

Product Strategy

Regulation as an Operating System

Most PropTech companies treat regulation as a ceiling. The ones that survive treat it as the floor, and gain compounding market advantages from every update that kills slower competitors.

2026-04-24 · 7 min read · Teh Kim Guan, ACMA, CGMA

Product Strategy

PRD Mid-Prototype: Why Writing Requirements After the First Screen Works Better for RegTech

The conventional PRD-first sequence breaks in regulated software. Building the first screen before writing requirements produces a more precise document, and here is exactly why that works for RegTech.

2026-04-24 · 7 min read · Teh Kim Guan, ACMA, CGMA

Product Strategy

The Intent Gap: What Nielsen's AI UX Framework Gets Right and Misses for Regulated Software

Jakob Nielsen's intent-based UX framework is the most important AI product design writing of 2026. Here's the one dimension it misses for licensed professionals.

2026-04-24 · 6 min read · Teh Kim Guan, ACMA, CGMA

AI Workflow

Why I Stopped Launching Background Agents for File Creation

Five parallel agents, 40,000 tokens in coordination overhead, zero files produced. The sprint still shipped, because I did the work sequentially. Here is what that failure taught me.

2026-04-17 · 5 min read · Teh Kim Guan, ACMA, CGMA

AI Workflow

The Eval Harness Is Load-Bearing Infrastructure

One successful invocation doesn't prove a skill works under real conditions. The eval harness does. Here is why it is mandatory for any skill that touches real people or runs more than once a week.

2026-04-17 · 4 min read · Teh Kim Guan, ACMA, CGMA

AI Workflow

When Your Team Outgrows Intuition: Building a Delegation Routing Layer

At three team members, delegation is intuitive. At six across five client engagements, it breaks. Here is the four-mode routing architecture that replaced working memory.

2026-04-17 · 5 min read · Teh Kim Guan, ACMA, CGMA

AI Workflow

Token Economics for Solopreneurs: Build Once With Tokens, Run Forever

Every AI session spent querying the same database is an operating expense you're paying twice. Here is the capital expenditure model that changes that math permanently.

2026-04-10 · 5 min read · Teh Kim Guan, ACMA, CGMA

Consulting

Delegation Without a Team: The 3-Tier Classification System

433 tasks, one solo operator, nine subagents. A classification sprint that reduced the daily briefing surface area by 80% and exposed the real bottleneck in solo delegation.

2026-04-10 · 6 min read · Teh Kim Guan, ACMA, CGMA

AI Workflow

Brief Before Build: The Hidden Cost of Produce-Then-Constrain

25,000 tokens of rework from one missed constraint. The produce-then-constrain failure mode is common, recoverable, and entirely preventable with one operational change.

2026-04-04 · 6 min read · Teh Kim Guan, ACMA, CGMA

AI Workflow

The Verification Loop: Why AI Skills Without Evals Are Prompts With Delusions of Permanence

Building AI skills without evaluation is optimism dressed as engineering. Learn how the verification loop separates tools from illusions and makes your skills genuinely reliable.

2026-03-28 · 6 min read · Teh Kim Guan, ACMA, CGMA

AI Workflow

Three Layers Every AI Agent Stack Needs: Memory, Routing, Execution

Three independent practitioners arrived at the same agent architecture independently. It has three layers: Memory, Routing, and Execution. The competitive edge is no longer in the skills. It is in how they compose.

2026-03-28 · 4 min read · Teh Kim Guan, ACMA, CGMA

Product Strategy

From SEO to GEO: What Being the Answer Requires

For 25 years, professional services firms optimized for visibility. AI-generated answers have made visibility irrelevant. Citability is now the only metric that matters.

2026-03-28 · 7 min read · Teh Kim Guan, ACMA, CGMA

AI Workflow

Phase-Gated Pipelines: Why the Best AI Tools Separate Inspection from Construction

Single-pass AI generation produces reasonable approximations. Phase-gated pipelines produce reliable outputs. Here is the architecture that makes the difference.

2026-03-28 · 7 min read · Teh Kim Guan, ACMA, CGMA

AI Workflow

The Task Cascade Protocol: Why Most Knowledge Work Systems Leak Tasks

Every report you generate contains hidden work that evaporates before it reaches a task list. The Task Cascade Protocol is the behavioral fix that stops the leak.

2026-03-27 · 7 min read · Teh Kim Guan, ACMA, CGMA

Product Strategy

Satellite AI Foundation Models: The Democratization Trap

Why celebrating open-source geospatial models might mean celebrating your firm's obsolescence, and what to do about it in the next 6 to 12 months.

2026-03-23 · 8 min read · Teh Kim Guan, ACMA, CGMA

AI Workflow

Prompt Engineering as Defensible IP: The New Excel Model

Why specialized prompt chains are becoming billable assets, and how practitioners in regulated industries can turn AI methodology into a competitive moat.

2026-03-23 · 8 min read · Teh Kim Guan, ACMA, CGMA

AI Workflow

The One-Person Operating Model: Integration Beats Collection

Why solo practitioners with integrated AI workflows outperform larger teams in silos, and how to build the architecture that makes this possible.

2026-03-23 · 9 min read · Teh Kim Guan, ACMA, CGMA

AI Workflow

LLM Councils: Why Ensemble AI Makes Professionals More Defensible

A single AI model is an oracle. Three models disagreeing with each other is a decision system. Here is why the distinction matters in regulated practice.

2026-03-23 · 9 min read · Teh Kim Guan, ACMA, CGMA

Product Strategy

Hybrid SQL+Vector Search: The Architecture Behind Trustworthy AI Valuations

Pure SQL is precise but blind to market context. Pure vector is intelligent but regulatory-blind. The hybrid architecture is how you build AI valuations that are both accurate and defensible.

2026-03-23 · 9 min read · Teh Kim Guan, ACMA, CGMA

Frameworks

Five Models, Five Jobs: A Framework for Choosing the Right AI

The best AI model is not the smartest one. It is the right one for the job, at the cost you can afford, given what is at stake. A practitioner's selection framework.

2026-03-23 · 8 min read · Teh Kim Guan, ACMA, CGMA

AI Workflow

The Unblock Pattern: Why a 15-Minute Validation Saves 15 Hours of Wasted Build

AI workflows fail quietly. Producing output that looks correct but sits on hollow data. The Unblock Pattern is a five-step gate that stops you building around broken tools before you've invested a day in them.

2026-03-22 · 7 min read · Teh Kim Guan, ACMA, CGMA