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Welcome back, there

ProductPedia is in concept preview. Continue into today's dashboard and adoption tools while the new discovery, agent, seller, and network experiences pass their integration gates.

Planned

ProductPedia

Find a small, relevant set of products matched to the job you need done.

Planned

My Product Agent

Let an agent learn the product, configure it, and carry out work with your approval.

Planned

Seller Studio

Package your offer, publish proof, manage leads, and support customer adoption.

Planned

ProductPals Network

Connect with buyers, sellers, experts, and peers around products and outcomes.

Adoption Work

Track evaluation, onboarding, setup, and the work your agents are completing.

Analytics

Follow evaluation, first value, repeat use, support, and retained outcomes.

Introducing the ProductPedia pilot concept

Find software that fits — and get it working.

Tell ProductPedia what you need to accomplish. The planned experience will compare three to five explainable matches, including evidence, cost structure, setup effort, and important tradeoffs, then guide evaluation and adoption through one user-controlled agent.

Join as a Founding Seller
Recommendations will be ranked by fit and evidence. Sponsored placements will remain separate and clearly labelled.
ProductPedia concept preview
What outcome do you need?

The recommendation engine remains gated until the curated catalog is enabled.

This read-only pilot uses your description for this request only; it is not saved.

Fewer
choices, better fit
Agent
learns and operates
One
seller workspace
Trust
built through the network
From intent to outcome

Software adoption in four clear steps

ProductPals starts with the work you need done, not a long feature matrix. The agent keeps learning and operating after the purchase.

Step 01
Describe the job
Tell ProductPedia the outcome, constraints, people, and systems involved.
Step 02
Compare a shortlist
Review a few explainable matches, evidence, real costs, and adoption effort.
Step 03
Let your agent prepare
My Product Agent will consult attributed product guidance, prepare setup work, and ask before consequential actions.
Step 04
Measure the outcome
Track useful work, adoption, support, and value — not just logins or licenses.
ProductPedia roadmap

The marketplace is only the beginning

Discovery, purchase, onboarding, daily operation, and relationships live in one continuous product journey.

ProductPedia discovery

Products are organised around outcomes, evidence, fit, and adoption effort — not an endless list of categories and features.

My Product Agent

One durable agent will work for the user across products, consulting attributed product guidance without exposing cross-product history by default.

Seller Studio

Sellers manage the listing, proof, prices, agent playbook, leads, onboarding, support, and product health from one workspace.

Commerce and entitlements

Shared storefront, payments, currency, approvals, and role-aware access carry the buyer from trial through renewal.

Shared identity and trust

One SSO identity, explicit roles, scoped agents, approvals, and auditable actions keep every cross-product journey accountable.

ProductPals Network

Buyers, sellers, experts, and peers can connect, message, share evidence, and form communities around real product outcomes.

Agent-guided adoption

One agent works for you across every product.

My Product Agent will remember your goals within the permissions you choose. It can consult product-specific guidance behind the scenes, but sellers will not receive your cross-product history unless you approve it.

You decide

  • State the outcome and constraints
  • Approve sensitive or irreversible actions
  • Set budgets, scope, and autonomy
  • Review outcomes and exceptions
  • Revoke access at any time
Approval boundary

My Product Agent prepares

  • Reads the verified product playbook
  • Uses structured APIs and workflows
  • Prepares permitted, reversible work
  • Records actions, sources, and results
  • Stops and asks when policy requires it
ProductPedia preview

See why a product fits — and where it may not

This illustrative decision card shows the transparency ProductPedia is designed to provide. It is not a live ranking or verified product claim.

Illustrative candidate

Customer Service workspace

Passes stated requirements

For a small support team that wants to manage inbound customer requests without adding more manual administration.

Fit
Strong
Illustrative rules result
Evidence
Unverified
Seller-supplied concept data
Adoption effort
Needs scoping
Email, identity, and data review

Why it fits

The requested job matches a shared inbox, clear ownership, response workflows, and agent-prepared triage.

Important caveat

Data residency, current email tooling, and approval requirements must be confirmed before evaluation.

For software sellers

A storefront is not enough. Build the path to value.

The planned Seller Studio will turn a product page into a measurable adoption journey: explain the fit, guide the trial, support the user, and learn what creates value.

Seller Studio / adoption plan
01 Publish the buyer promise
Outcome, best-fit customer, evidence, constraints
02 Attach the product agent
✓ Guided evaluation configured
✓ Learning plan configured
✓ Approval boundaries configured
03 Measure adoption
First value → repeat use → expansion
  • Outcome-led listing — show the job, fit, evidence, limits, and total adoption effort before feature detail.
  • Guided evaluation — turn a demo into a bounded plan with tasks, sample data, success criteria, and a clear decision point.
  • Agent-ready knowledge — give the user's agent product guidance it can retrieve, explain, and act on with permission.
  • One support context — carry the user's goal, progress, entitlements, and consent into every help conversation.
  • Adoption analytics — optimise for time-to-value, successful use, retained outcomes, and trusted referrals.
ProductPals Network

Trust grows between people, not product pages.

Connect buyers, practitioners, product teams, experts, and partners around the outcomes they care about. The network adds context to discovery without turning popularity into truth.

See whether a source is a customer, seller, partner, employee, investor, or independent practitioner

Follow expertise

Build a useful graph around roles, jobs, products, and proven experience.

Ask in context

Move from a product question to a relevant peer, expert, or seller conversation.

Share outcomes

Recommend responsibly with fit, result, and relationship made visible.

Choose a clearer path

Help shape software discovery that ends in successful use.

Join the pilot community as a buyer or founding seller while ProductPals builds the first curated, evidence-led ProductPedia experience.