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GOOD IDEAS DESERVE GREAT ENGINEERING.Explore the possibilities.

WHAT I BUILD

AI systems

Agents, private knowledge, and production AI.

SaaS platforms

Scalable software, from first release to growth.

HOW WE WORK

Services

Engineering expertise for your next challenge.

Industries

Solutions grounded in your business context.

IDEAS & PERSPECTIVES

Insights

Practical thinking on AI and architecture.

About my approach

Bridging research and production.

Available for select projectsDiscuss your project

IDEAS & PERSPECTIVES

Better questions.
Better software decisions.

Practical thinking on AI, architecture, and the work of bringing software into production. For founders making the next investment and teams responsible for making it work.

Explore the library ↓

LATEST PERSPECTIVE · Capacity Engineering

Backpressure by Design: Admission Control for Expensive APIs and Jobs

Protect useful work during overload with bounded queues, deadline-aware admission, workload isolation, and retry budgets that cannot multiply a dependency failure.

Read the article ↗
THE ENGINEERING NOTEBOOK01

Ideas for the decisions
behind the build.

September 20, 2026

THE LIBRARY

Explore the thinking.

Browse all articles, or find a specific topic.

Topic

20 articles

  • ADMISSION CONTROLProtect useful work.
    Growing demandBounded capacity
    Admit · defer · reject before overload

    Capacity Engineering

    Backpressure by Design: Admission Control for Expensive APIs and Jobs

    Prasoon Thakur
    ↗
  • VERSIONED REPRESENTATIONS
    product:204:v12 Late refill · old key
    product:204:v13 Current representation
    New version. Separate cache identity.

    Performance Engineering

    Cache Invalidation: Versioned Reads and Explicit Staleness Budgets

    Prasoon Thakur
    ↗
  • IMMUTABLE SORT / TIME + IDA stable next page.
    12:04:00 · record 204Returned
    12:04:00 · record 203Boundary
    Next cursor Continue below record 203 →

    API Engineering

    Cursor Pagination Under Concurrent Writes: A Consistency Contract

    Prasoon Thakur
    ↗
  • DELETION / GENERATION 08Prevent the return.
    Database
    Removed
    Objects
    Cleared
    Index
    Cleared
    Stale worker generation 07 → rejected

    Data Lifecycle

    Distributed Data Deletion: Tombstones, Derived Copies, and Restore Safety

    Prasoon Thakur
    ↗
  • RESERVATION / ILLUSTRATIONOne item. One winner.
    Request AReserved
    Request BUnavailable
    Atomic stock decision1 → 0

    Transaction Design

    Inventory Reservations: Preventing Overselling Under Concurrency

    Prasoon Thakur
    ↗
  • COMPATIBILITY WINDOWChange without a cliff.
    01Expand
    02Backfill
    03Contract
    Old reads → verified cutover → new reads

    Database Engineering

    Live PostgreSQL Migrations: Expand, Backfill, Verify, Contract

    Prasoon Thakur
    ↗
  • RECOVERY DRILL / ILLUSTRATIONRestore. Then prove it.
    01Recover the chosen point
    02Reconcile business state
    03Release verified traffic
    Recovery evidence Measured RPO + RTO

    Disaster Recovery

    PostgreSQL Recovery Drills: Proving RPO and RTO Beyond the Backup Job

    Prasoon Thakur
    ↗
  • UNTRUSTED INPUTsource.pdfVersion / 07
    ISOLATED PARSERInspect.
    Extract.
    PUBLICATION MANIFESTVerified source. Traceable output.Only the accepted generation is searchable.

    AI Data Engineering

    Secure Document Ingestion: From Untrusted Upload to Searchable Evidence

    Prasoon Thakur
    ↗
  • CommitOrder + event
    RelayPublish intent
    ApplyCheckpoint
    Aggregate / order_204 v17 → v18 → v19

    Event Architecture

    Transactional Outboxes: Ordering, Replay, and Consumer Correctness

    Prasoon Thakur
    ↗
  • EVENT INBOX / ILLUSTRATIONOne business effect.
    evt_204 · first deliveryRecorded
    evt_204 · retryDuplicate
    ONCEFulfillment ledger

    Distributed Systems

    Webhook Reconciliation: Building a Ledger That Survives Retries

    Prasoon Thakur
    ↗
  • PROPOSED ACTIONIssue a refund.
    AuthorityApproval required
    ReviewApprove
    Human decision

    AI Risk

    AI Agent Controls: Designing Safe Approval Boundaries

    Prasoon Thakur
    ↗
  • ACCOUNTABILITY MAPEvery decision has an owner.
    ProductReview →
    RiskReview →
    EngineeringReview →

    AI Governance

    AI Governance: An Operating Model for Safe Scale

    Prasoon Thakur
    ↗
  • EVIDENCE GATES
    01Pilot evaluated
    02Controls reviewed
    03Release approved
    Production is earned.

    AI Transformation

    From AI Pilot to Production: A Scale-Up Playbook

    Prasoon Thakur
    ↗
  • READINESS REVIEWWhat’s ready. What’s missing.
    Data
    Ownership
    Evaluation

    AI Strategy

    AI Readiness Assessment: A CEO Operating Guide

    Prasoon Thakur
    ↗
  • BUSINESS CASEMeasure the whole cost.
    Value−Total cost
    Baseline → outcomeEvidence first

    AI Economics

    AI ROI: A Business Case That Survives Scrutiny

    Prasoon Thakur
    ↗
  • VENDOR REVIEW
    Option AData controlsExit plan
    Option BOperating costModel choice
    Inspect the deployed workflow.

    AI Procurement

    AI Vendor Due Diligence: A Buyer’s Checklist

    Prasoon Thakur
    ↗
  • CHOOSE DELIBERATELYYour business requirement
    Build
    Control & fit
    Buy
    Speed & support

    AI Investment

    Build vs Buy AI: A Decision Framework for Leaders

    Prasoon Thakur
    ↗
  • Proprietary knowledge
    Quality & permissions
    Useful business context
    A FOUNDATION THAT COMPOUNDS

    Data Strategy

    The Enterprise AI Data Moat: Knowledge as Leverage

    Prasoon Thakur
    ↗
  • SOURCE / 01Handbook
    SOURCE / 02Policies
    GROUNDED ANSWERYour answer, with context.Handbook §4 · Policy §2

    Knowledge Systems

    Enterprise RAG: From Search to Business Value

    Prasoon Thakur
    ↗
  • MODEL ROUTINGThe right model for the job.
    Routine taskEfficient model
    Complex taskAdvanced model
    Policy before provider

    AI Procurement

    Multi-Model AI Strategy: Avoiding Vendor Lock-In

    Prasoon Thakur
    ↗

A PLACE TO START

Read for the decision ahead.

Three reading paths, from evaluating an opportunity to operating a production system.

INVESTMENT BRIEFValue before scope.
Business value
Delivery effort
Validate the assumption first
01 / READING PATH

Plan the investment

Assess readiness, choose what to build, and define business value.

  1. AI Readiness Assessment: A CEO Operating Guide↗
  2. Build vs Buy AI: A Decision Framework for Leaders↗
  3. AI ROI: A Business Case That Survives Scrutiny↗
ONE CONNECTED BUSINESS
Shared platform
OperationsFinanceCustomers
Clear roles · shared context
02 / READING PATH

Build the foundation

Make informed choices about knowledge, data, and architecture.

  1. Enterprise RAG: From Search to Business Value↗
  2. The Enterprise AI Data Moat: Knowledge as Leverage↗
  3. Multi-Model AI Strategy: Avoiding Vendor Lock-In↗
PLATFORM HEALTHAll systems observable.
Application● Healthy
Database● Healthy
Background jobs● Healthy
▁ ▂ ▁ ▃ ▂ ▂ ▃ ▂ ▁ ▂ ▃ ▂
03 / READING PATH

Operate with confidence

Design for retries, overload, and recovery before they become incidents.

  1. Webhook Reconciliation: Building a Ledger That Survives Retries↗
  2. Backpressure by Design: Admission Control for Expensive APIs and Jobs↗
  3. PostgreSQL Recovery Drills: Proving RPO and RTO Beyond the Backup Job↗

FROM READING TO BUILDING

Working through a similar decision?
Let’s put it in context.

Bring your goals, current architecture, and the questions holding you back. We can define a practical next step for your product or team.

Discuss your project ↗Explore the approach. Then decide if we’re a fit.

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